AI Vendor Directory

Search, filter and compare AI software and professional services offerings by function, workflow, kind of AI, control and evidence.

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Compare Accenture Finance Operations (with SynOps)
Accenture Professional services firm
Accenture Finance Operations (with SynOps)
Accounts payable, Receivables and collections, Close +5
Agents and automated actions, Established machine learning and rules, General-purpose assistantSuggests and acts
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features
Accenture runs finance and accounting processes on behalf of clients, enabled by SynOps, which its 10-K calls its proprietary AI-powered, cloud-enabled platform.
Its Finance Operations page lists invoice to pay, customer to cash, record to analyze, risk and compliance, FP&A, statutory compliance and tax operations, managed treasury and investor relations.
Accenture describes continuous accounting, continuous close and predictive risk assurance through digitally enabled control frameworks.
AI features
- SynOps Not stated
- Continuous controls and autonomous exception resolution Acts
- AI and ML forecasting and FP&A insight Suggests
- AI Refinery (finance agents) Not stated
- Generative AI studios for F&A Not stated
Full record, with every source
Compare Amazon Quick
Amazon Web Services (Amazon.com, Inc.) Platform provider
Amazon Quick
Enterprise assistant, Enterprise search, Process automation
General-purpose assistant, Agents and automated actionsSuggests and acts
Customer IT
Published list priceUSD 20
None found in the sources read
October 21, 2026
Summary, 3 AI features
Amazon Quick is AWS's AI-powered service for automating tasks, analyzing data, building web applications and conducting research through natural-language chat, using AI agents against connected data sources.
AWS calls it the next evolution of Amazon Q Business, which is no longer sold to new customers.
Quick Automate builds business process automations with agents that make contextual decisions and execute actions, and the Enterprise plan adds human-in-the-loop orchestration.
AWS's published pricing, October 2026, lists Professional at $20 and Enterprise at $40 per user per month, each plus a $250 monthly fee per account.
AI features
- Quick chat agents and Quick Research Suggests
- Amazon Quick Index Not stated
- Quick Flows and Quick Automate Acts
Full record, with every source
Compare Anaplan platform and Anaplan Intelligence for financial planning
Anaplan Software vendor
Anaplan platform and Anaplan Intelligence for financial planning
Planning and FP&A, Consolidation
Built into the platform, Agents and automated actions, Established machine learning and rules, General-purpose assistantSuggests and acts
Vendor, Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features, conflicts
Anaplan describes a planning platform with predictive, generative and agentic AI, combining a calculation engine, embedded forecasting and optimization, and role-based agents that work in natural language.
Its Integrated Financial Planning application covers budgeting and forecasting for revenue, operating and capital expenses and integrated financial statements.
Anaplan Analyst, a generative AI assistant, can write data back to the live model within the user's privileges, and the AI Gateway gives external assistants access to Anaplan data through MCP that is read-only at first.
Forecaster, a machine learning time series tool, is obtained through Anaplan's customer success team.
AI features
- Anaplan Analyst Suggests and acts
- Anaplan Finance Analyst Suggests
- Anaplan CoModeler Acts
- Anaplan Forecaster Suggests
- Anaplan AI Gateway Suggests
Unclear or conflicting
Status of Finance Analyst relative to the unified Anaplan Analyst (unclear)
Statement A
The AI solutions page and the Integrated Financial Planning page present Anaplan Finance Analyst as a current AI agent for financial planning and consolidation.
anaplan.com/applications/integrated-financial-planning-app/
Anaplan Finance Analyst section
Statement B
The Anaplan Analyst page says Analyst is the evolution and unification of Anaplan's previous role-based analysts.
anaplan.com/platform/anaplan-analyst/
FAQ How is Anaplan Analyst different from the role-based analysts…?
The two pages do not contradict each other; they leave unclear whether Finance Analyst remains a separate offering or is now delivered as Anaplan Analyst.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Claude Team and Enterprise plans
Anthropic Software vendor
Claude Team and Enterprise plans
Enterprise assistant, Enterprise search
General-purpose assistantNot stated
Customer IT
Published list priceUSD 20
None found in the sources read
October 21, 2026
Summary, 2 AI features, conflicts
Anthropic sells Claude to organizations on a Team plan for 2 to 150 people and an Enterprise plan, both including Claude Code, Claude Cowork, enterprise search and single sign-on.
Anthropic's published pricing, October 2026, lists Team at $20 per standard seat per month billed annually and Enterprise at US$20 per seat per month with a 20-seat minimum plus usage at API rates.
Role-based access, SCIM, audit logs, a Compliance API and custom retention controls are Enterprise-only.
Anthropic's Commercial Terms say it may not train models on customer content, while its Privacy Center says feedback a user submits may be used for training.
AI features
- Claude chat and enterprise search Suggests
- Claude Code and Claude Cowork Not stated
Unclear or conflicting
Use of commercial customer content for model training
Statement A
Commercial Terms of Service (effective June 17, 2025): Anthropic may not train models on Customer Content from Services.
anthropic.com/legal/commercial-terms
Statement B
Privacy Center article for commercial products (August 18, 2026): by default inputs and outputs are not used for training, but if a user explicitly reports feedback or otherwise allows it, Anthropic may use those chats and coding sessions to train its models.
privacy.claude.com/en/articles/7996868-is-my-data-used-for-model-training
Recorded under D-143; not resolved. Team and Enterprise owners can disable feedback with the Rate chats setting [C-30656]. The Terms also say, in section A.3, that Anthropic may use feedback the customer provides [C-31105], which may bridge the two statements.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Avalara tax compliance (AvaTax, Returns, Exemption Certificate Management) with Aviator AI agents
Avalara Software vendor
Avalara tax compliance (AvaTax, Returns, Exemption Certificate Management) with Aviator AI agents
Tax, Accounts payable
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Vendor
Usage-basedUSD 699
None found in the sources read
October 12, 2026
Summary, 6 AI features, conflicts
Avalara's products for tax teams include AvaTax, AvaTax for Accounts Payable, Avalara Returns, Exemption Certificate Management and Avalara Tax Research, and Avalara says its products serve businesses of all sizes.
Aviator, which Avalara calls its agent hub, adds an orchestrator agent and specialized agents for transactions, returns, research and certificates.
Avalara says generative AI handles orchestration, document extraction and statutory synthesis on top of its deterministic tax engine, and that return submissions, rule overrides and exemption approvals require explicit human sign-off.
AI features
- Avi (orchestrator agent) Suggests and acts
- Transactions agent Acts
- Returns agent Suggests and acts
- Research agent Suggests
- Certificates agent Suggests
- AI item classification and e-invoicing agents Not stated
Unclear or conflicting
Aviator availability for existing customers
Statement A
FAQ: Aviator works today with AvaTax, AvaTax for Accounts Payable, Returns, Exemption Certificate Management and Tax Research.
avalara.com/us/en/products/aviator.html
FAQ: Which products are Aviator-ready?
Statement B
FAQ: existing customers are automatically granted access at their next AvaTax or Returns renewal following General Availability.
avalara.com/us/en/products/aviator.html
FAQ: How long does it take to get set up?
The page does not date General Availability; whether Aviator is generally available on the check date is unclear.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Whether the Returns agent files without human approval
Statement A
Agent card: the Returns agent prepares, reconciles and files tax returns automatically across thousands of jurisdictions.
avalara.com/us/en/products/aviator.html
The agent hub (agent cards)
Statement B
FAQ: return submissions and other high-liability actions require explicit human sign-off.
avalara.com/us/en/products/aviator.html
FAQ: Does Aviator facilitate payments, file returns, or make other autonomous decisions without human oversight?
Unclear rather than contradictory: automatic preparation may precede a signed-off submission; the page does not say where the approval sits.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Accuracy figures
Statement A
Aviator page: 6.6M+ tax returns filed in 2025 with 99.95% accuracy.
avalara.com/us/en/products/aviator.html
Scale and proof
Statement B
Home page: 99.999% accuracy, without saying what is measured.
avalara.com/us/en/index.html
Avalara powers millions of businesses worldwide
Different or unstated bases; neither page gives a method.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare AvidXchange AP Automation with AvidXchange AI
AvidXchange Software vendor
AvidXchange AP Automation with AvidXchange AI
Accounts payable
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Vendor, Customer finance team
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features
AvidXchange says it embeds AI across the accounts payable lifecycle, from invoice capture and PO matching to approvals and payments, while keeping the customer's team in control of every decision.
It states invoice extraction accuracy of 99%+ and, elsewhere on the page, 99.2%, gives no population or period, and says extracted data is validated by its expert indexing services with human oversight.
AvidXchange also says its AP experts resolve exceptions that need judgment.
An AI Approval Agent recommends from historical approvals, and after approval AvidXchange's AI executes virtual card payments and uses generative AI to complete phone-based payments.
AI features
- Invoice extraction AI with expert validation Acts
- AI Approval Agent and PO matching Suggests
- Payment execution (virtual card and generative AI phone payments) Acts
- Natural-language analytics Suggests
- Continuous fraud detection Not stated
Full record, with every source
Compare Basware AP Automation with InvoiceAI and Governed Autonomy
Basware Software vendor
Basware AP Automation with InvoiceAI and Governed Autonomy
Accounts payable, Spend and procurement
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 3 AI features, conflicts
Basware sells accounts payable automation and says its InvoiceAI applies generative AI, AI agents, natural language processing and deep learning across the invoice lifecycle.
Its Governed Autonomy model lets customers set how far the AI acts on its own, per process and per risk tier, in three stages: Advisor, Collaborator and Operator.
Basware states that every AI decision is logged, explainable and reversible.
AI features
- InvoiceAI Suggests and acts
- Governed Autonomy (Advisor, Collaborator, Operator) Suggests and acts
- Basware AI agents (user questions) Suggests
Unclear or conflicting
Size and age of the data behind Basware's AI
Statement A
Governed Autonomy page: trained on 41 years of data across 2.5B+ invoices and $10T+ in spend.
basware.com/en/governed-autonomy
FAQ: What is Governed Autonomy?; This is real, and it's reachable
Statement B
InvoiceAI page: powered by 2.3 billion invoices, built on 40 years of innovation and $10 trillion in spend.
basware.com/en/solutions/ap-automation/revolutionize-your-ap-with-invoiceai
hero; AI-powered precision across your entire AP function
The two pages give different invoice counts and years; neither gives a date for its figure.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Whether Basware AI agents are available
Statement A
InvoiceAI page: Basware AI agents are built to efficiently address user questions.
basware.com/en/solutions/ap-automation/revolutionize-your-ap-with-invoiceai
Ask your AI agents
Statement B
Same page: as AI capabilities evolve, Basware is exploring intelligent agents.
basware.com/en/solutions/ap-automation/revolutionize-your-ap-with-invoiceai
InvoiceAI—Intelligent AI for today and tomorrow
Which agents are available now is not stated.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare BDO Intelligent Virtual Assistant (IVA)
BDO USA Professional services firm
BDO Intelligent Virtual Assistant (IVA)
Audit firm
Not stated
General-purpose assistantNot stated
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 1 AI features
BDO describes IVA as a secure, tailored ChatGPT environment hosted in the client's own Microsoft Azure, with data encrypted and stored there and access restricted even from BDO unless the client authorizes it.
BDO says the data is never used to train AI models and that IVA works alongside Microsoft 365 Copilot, and separately says it helps clients identify AI use cases in finance and other functions.
AI features
- BDO IVA Not stated
Full record, with every source
Compare BILL Accounts Payable and Accounts Receivable, with BILL AI agents
BILL (BILL Holdings, Inc.) Software vendor
BILL Accounts Payable and Accounts Receivable, with BILL AI agents
Accounts payable, Receivables and collections
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Published list priceUSD 49
None found in the sources read
October 12, 2026
Summary, 5 AI features
BILL sells accounts payable and receivable software to small and midsize businesses, and its fiscal 2026 Form 10-K says it launched BILL AI that year, including its first suite of AI agents.
BILL says its Invoice Coding Agent codes multi-line bills from past coding behavior and its W-9 Agent emails vendors to collect and enter W-9s on its own.
Plans are listed at $49, $65 and $89 per user per month in BILL's published pricing, October 2026, with the Invoice Coding Agent listed on the Team and Corporate plans, not Essentials.
AI features
- BILL Invoice Coding Agent Acts
- BILL W-9 Agent Acts
- Intelligent bill capture and duplicate and missing bill detection Suggests
- Fraud monitoring Suggests
- Smart Response Agent Acts
Full record, with every source
Compare BILL Spend & Expense, with the Transaction Agent
BILL (BILL Holdings, Inc.) Software vendor
BILL Spend & Expense, with the Transaction Agent
Expense
Agents and automated actions, Established machine learning and rulesActs
Vendor
Published list priceUSD 0
None found in the sources read
October 12, 2026
Summary, 2 AI features
BILL Spend & Expense pairs corporate cards with expense software that BILL lists at $0 per user per month in its published pricing, October 2026.
BILL says its Transaction Agent completes transactions by grabbing or generating receipts, categorizing fields and writing memos, and that AI also auto-categorizes expenses and matches receipts.
AI features
- BILL Transaction Agent Acts
- Auto-categorization and receipt matching Acts
Full record, with every source
Compare Billtrust accounts receivable platform with Insights360, Agentic Email and MCP Server
Billtrust (BTRS Holdings Inc.) Software vendor
Billtrust accounts receivable platform with Insights360, Agentic Email and MCP Server
Receivables and collections
Built into the platform, Agents and automated actions, General-purpose assistantSuggests
Vendor, Customer finance team, Customer IT
Not stated
None found in the sources read
October 12, 2026
Summary, 3 AI features, conflicts
Billtrust sells accounts receivable software built around Insights360, an embedded AI layer that analyzes buyer behavior and forecasts cash flow from credit to collections, drawing on what it describes as a network of 13M+ buyers.
Its Agentic Email categorizes collectors' inboxes and drafts responses, and Billtrust says AI governance includes human review of sensitive actions.
A read-only MCP Server lets customers query Billtrust data from Microsoft Copilot or Claude, with every query logged.
AI features
- Insights360 Suggests
- Agentic Email Suggests
- Billtrust MCP Server Suggests
Unclear or conflicting
Unclear: what the MCP Server passes to outside AI tools
Statement A
AI page: the MCP Connector connects AR data to Anthropic's Claude and Microsoft's Copilot and pulls live data directly from the Billtrust platform.
billtrust.com/ai
Your AR data inside Claude and Copilot
Statement B
MCP Server page: AI providers never see raw customer data; they receive structured responses, not raw financial data.
billtrust.com/ai/mcp-server
Enterprise-grade MCP security; FAQ: Is our financial data secure when it goes through an AI tool?
Not a contradiction: "live" data is not necessarily "raw" data. The pages do not define raw data or say whether the structured responses include customer or personal data. Recorded as unclear under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare BlackLine Studio360 record-to-report with Verity AI
BlackLine Software vendor
BlackLine Studio360 record-to-report with Verity AI
Full profile
Close, Reconciliation, Consolidation +2
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Vendor, Customer finance team
Quote only
None found in the sources read
October 12, 2026
Summary, 8 AI features, conflicts
BlackLine's 2025 annual report lists its record-to-report products on the Studio360 platform, including Account Reconciliations, Transaction Matching, Journal Entry, Task Management, Consolidation and intercompany products.
BlackLine launched Verity in September 2025 as a suite of AI capabilities it describes as a digital workforce of embedded and auditable AI.
It describes Verity agents that prepare reconciliations for human sign-off and draft accrual entries that are routed for approval before posting.
BlackLine describes its platform as serving mid-size and enterprise organizations and integrating with ERP systems from Workday, SAP, Oracle, Microsoft, Sage Intacct and NetSuite.
AI features
- Verity Prepare Acts
- Verity Accruals Suggests and acts
- Verity Match Suggests
- Verity Narrate Suggests
- Verity Flux Suggests
- Verity Summarize Suggests
- Verity Insights and Verity Assist Suggests
- Journals Risk Analyser Suggests
Unclear or conflicting
Use of customer data: contract Usage Data clause versus Verity FAQ on training
Statement A
Master Subscription Agreement (Rev. 8.1) Section 5 lets BlackLine create Usage Data, including information derived from Customer Data, and use it for customer training, to improve the Hosted Service and for other research and development purposes; Section 6.2 reserves Usage Data to BlackLine.
blackline.com/assets/docs/uploads/blackline-msa-rev-8-1-dec-2025.pdf
Sections 5 and 6.2
Statement B
Verity AI page FAQ: for generative AI features such as summarization, customer data is never used for training models and the LLM services are contractually barred from retaining or training on it.
blackline.com/products/verity-ai/
How does BlackLine secure sensitive financial data?; FAQ How does BlackLine protect my company's data when using its Verity AI features?
The pages read do not say whether the Usage Data clause applies to data that Verity features process.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Hosting: subprocessor list versus annual report on data centers
Statement A
Subprocessor list effective July 1, 2026 names Switch (Las Vegas) and Equinix (Ashburn) as primary and secondary data centers for the US2 Financial Close instance.
blackline.com/legal/subprocessors/
Customer Data Hosting for the BlackLine Financial Close, US2 row
Statement B
Form 10-K for 2025 states that all Financial Close & Consolidation customers were migrated from third-party data centers to Google Cloud Platform.
sec.gov/Archives/edgar/data/1666134/000162828026011915/bl-20251231.htm
Item 1A. Risk Factors, public cloud providers
Which description is current was not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Regional processing for Verity Accruals
Statement A
Subprocessor list shows Verity Accruals customer data processed by entities and locations in the USA only, while Financial Close hosting spans the US, EU, Asia-Pacific and Middle East.
blackline.com/legal/subprocessors/
Customer Data Hosting for the BlackLine Financial Close; Customer Data Processing for Verity Accruals
Statement B
Verity AI page FAQ: for generative features such as summarization, customer data never leaves its region of origin.
blackline.com/products/verity-ai/
How does BlackLine secure sensitive financial data?; FAQ How does BlackLine protect my company's data when using its Verity AI features?
Unclear rather than contradictory: the FAQ is scoped to features like summarization; how Verity Accruals serves customers hosted outside the US is not stated.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Board Agentic Planning Platform
Board International Software vendor
Board Agentic Planning Platform
Planning and FP&A, Close, Reconciliation +1
Built into the platform, Agents and automated actionsSuggests and acts
Vendor, Individual user
Quote only
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Board describes an agentic planning platform that brings business context, continuous planning and governed agentic AI together, with AI that recommends and acts under human oversight.
Its persona-based agents include an FP&A Agent for planning, modeling and financial statement analysis, a Controller Agent for the financial close, consolidation and reporting process that surfaces reconciliation exceptions, and an Architect Agent that builds and changes Board solutions through versioned updates.
Board says agents inherit users' access rights and operate within policy-driven guardrails that set their actions and when human approval is required.
AI features
- FP&A Agent Suggests and acts
- Controller Agent Suggests
- Architect Agent Acts
- Agent guardrails and external signals Suggests and acts
Unclear or conflicting
Which agent handles reconciliations
Statement A
The agent descriptions assign reconciliations to the Controller Agent, which streamlines reconciliations by surfacing only true exceptions.
board.com/ai
Controller Agent
Statement B
The FAQ says the Board FP&A Agent automates reconciliations and accelerates close cycles.
board.com/ai
FAQ Will AI agents replace workforces?
Which agent performs reconciliation work, and whether it automates or surfaces exceptions, is stated differently.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Capgemini Frictionless Finance (AI.Controllership, AI.Payables, AI.Receivables)
Capgemini Professional services firm
Capgemini Frictionless Finance (AI.Controllership, AI.Payables, AI.Receivables)
Receivables and collections, Accounts payable, Close +3
Established machine learning and rules, Agents and automated actionsNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Capgemini describes Frictionless Finance as AI-augmented order-to-cash, purchase-to-pay, record-to-analyze and analytics, delivered through an AI-enabled framework, an AI-augmented workforce and AI-driven operating models.
It makes use of Capgemini's Digital Global Enterprise Model (D-GEM), which Capgemini calls an AI-based business transformation platform.
AI.Controllership infuses AI into accounting, reconciliation, close, reporting and compliance to enable continuous accounting and close.
AI.Payables and AI.Receivables apply AI to exception handling in payables and to cash and collections.
AI features
- AI.Controllership Not stated
- AI.Payables Not stated
- AI.Receivables Not stated
- D-GEM Not stated
Unclear or conflicting
AI.Receivables days sales outstanding benefit
Statement A
AI.Receivables page: "Up to 40% improvement in days sales outstanding"
capgemini.com/solutions/aireceivables/
Statement B
Frictionless Finance page, AI.Receivables section: "up to 40% increases in days sales outstanding"
capgemini.com/us-en/services/enterprise-management/intelligent-business-operations/frictionless-finance/
Recorded, not resolved (D-143). The conflict is the wording: "improvement" on the AI.Receivables page, "increases" on the Frictionless Finance page; an increase in days sales outstanding would be adverse, and the pages do not explain the wording. The Frictionless Finance page's separate "up to 50% improvement in days sales outstanding" is a solution-level figure, a difference of scope rather than part of the conflict.
Recorded, not resolved (D-143) · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Caseware IDEA
Caseware Software vendor
Caseware IDEA
Audit and internal audit, Finance data and analytics
Established machine learning and rules, Built into the platformSuggests
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features
Caseware describes IDEA as audit analytics for full-population testing, anomaly detection and audit evidence, with audit intelligence that flags high-risk transactions and scheduled scripts that keep a run history for review.
IDEA imports from spreadsheets, PDFs and more than 50 accounting systems without altering source files and publishes results for audit, investigation or management users.
Caseware lists internal audit and corporations among the teams it serves.
AI features
- Audit intelligence Suggests
- AiDA Suggests
Full record, with every source
Compare Caseware Verity and AI agent suites
Caseware Software vendor
Caseware Verity and AI agent suites
Audit and internal audit, Reporting and disclosure
Built into the platform, Agents and automated actionsSuggests
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Caseware launched Caseware Verity on May 20, 2026 as an intelligence and orchestration layer inside assurance and financial reporting engagements, alongside workflow-native AI agents.
The first agents include a Disclosure Checklist Agent that generates citation-backed suggestions auditors can accept or override, with a Document Intelligence Agent in closed beta and a Risk Suggestion Agent in alpha at launch.
Caseware says every AI-assisted output is citation-backed, reviewable and traceable before it enters the engagement file.
A later headline on the same page says the Risk Suggestion Agent launches; the linked article was not read.
AI features
- Caseware Verity Suggests
- Disclosure Checklist Agent Suggests
- Document Intelligence Agent Not stated
- Risk Suggestion Agent Suggests
Unclear or conflicting
Release stage of the Risk Suggestion Agent
Statement A
May 20, 2026 release: the Risk Suggestion Agent is rapidly advancing through alpha.
caseware.com/us/news/caseware-launches-caseware-verity-to-bring-workflow-native-ai-agents-directly-into-assurance-engagements
Introducing the first Caseware AI agent suites
Statement B
News list on the same page: "Caseware Verity-Powered Risk Suggestion Agent launches to Help Auditors Identify Engagement-Specific Risks".
caseware.com/us/news/caseware-launches-caseware-verity-to-bring-workflow-native-ai-agents-directly-into-assurance-engagements
Latest news and insights (news list)
The linked article could not be fetched on the check date, so its date and what "launches" means (general release or wider beta) were not read.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Chargebee Billing, RevRec and Receivables
Chargebee Software vendor
Chargebee Billing, RevRec and Receivables
Revenue and billing, Receivables and collections
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team
Published list priceUSD $0 + 0.80% or $99 + 0.65%
None found in the sources read
October 12, 2026
Summary, 6 AI features, conflicts
Chargebee sells subscription billing, revenue recognition and receivables software, with payment retries it describes as ML-powered dunning and collections it describes as AI-powered.
Its Receivables product works overdue accounts on the billing record, proposing actions for a collector to approve in suggestive mode, or sending reminders, escalating and reconciling on its own in autonomous mode for segments the team assigns.
Chargebee describes Receivables as in early access, open now through a demo.
Chargebee's pricing page shows a published Billing rate card against monthly invoicing volume and RevRec plans by quote.
AI features
- Receivables, suggestive mode Suggests
- Receivables, autonomous mode Acts
- Collections queue scoring Suggests
- ML-powered dunning Acts
- Chargebee MCP server (read access) Suggests
- Chargebee MCP write actions Acts
Unclear or conflicting
Whether AI clients can write to billing data through Chargebee MCP today
Statement A
MCP page: Chargebee ships an MCP server so agents and developers read and act on live billing data inside their AI clients; MCP tools let agents retrieve and act on live billing data.
chargebee.com/mcp/
FAQ: What makes Chargebee AI-native, and not just billing software?; Operate Chargebee headlessly (MCP tools)
Statement B
MCP page FAQ: today agents and developers query live billing data through the MCP server; write actions are launching shortly.
chargebee.com/mcp/
FAQ: Can AI agents act on billing data, or only read it?
Both statements are on the same page. The FAQ answer is the more specific; the record types MCP reads as live and MCP writes as announced, without resolving the conflict.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Cognizant Digital Finance and Accounting Services
Cognizant Professional services firm
Cognizant Digital Finance and Accounting Services
Spend and procurement, Accounts payable, Receivables and collections +2
Agents and automated actions, Established machine learning and rulesSuggests and acts
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features
Cognizant's 10-K says its business process outsourcing services build in AI use cases to run functions including finance and accounting.
Its finance and accounting page describes services combining agentic AI, intelligent decision-making, business process automation and global talent across source to pay, quote to cash, record to report and FP&A.
Cognizant describes AI-driven execution with human-in-the-loop governance, citing an automaker engagement that it says reached over 90% touchless processing.
Separately, Cognizant describes a platform, Neuro AI Enterprise Core, for governed multi-agent automation across ERP and SaaS systems; its finance page does not name it.
AI features
- Agentic AI in F&A delivery Suggests and acts
- Neuro AI Enterprise Core Acts
Full record, with every source
Compare Coupa AP Automation (invoicing, payments, expenses and SpendGuard fraud detection)
Coupa Software vendor
Coupa AP Automation (invoicing, payments, expenses and SpendGuard fraud detection)
Accounts payable, Expense, Spend and procurement
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 4 AI features
Coupa sells accounts payable automation as part of its spend management platform, covering invoicing, payments, virtual cards, expense management and fraud detection.
Coupa says invoice ingestion runs on Rossum's transactional large language model, and that invoices matching a purchase order within tolerance are validated, routed for approval and scheduled for payment with no human intervention.
Its SpendGuard fraud detection applies more than 25 alerts across invoicing, expenses and payments, and Coupa describes it as reducing, and possibly replacing, auditing work.
AI features
- Document intelligence (Rossum T-LLM invoice ingestion) Acts
- Touchless invoice processing Acts
- SpendGuard fraud detection Suggests
- Coupa Navi agents and AI Agent Ecosystem Suggests and acts
Full record, with every source
Compare Cube FP&A platform with FP&Agents
Cube (Cube Planning, Inc.) Software vendor
Cube FP&A platform with FP&Agents
Planning and FP&A, Finance data and analytics
Built into the platform, Agents and automated actions, General-purpose assistantSuggests and acts
Vendor, Customer finance team, Individual user
Quote only
None found in the sources read
October 12, 2026
Summary, 3 AI features, conflicts
Cube describes its FP&Agents as an autonomous AI workforce for finance: four agent teams for business partnering, planning, analysis and data management, orchestrated by a super agent called Charlie.
Cube says the agents reconcile data, refresh forecasts, explain variances and draft board decks, and that they run on an Agentic Finance Layer so that every figure traces to the source transaction.
It also says agents propose changes to mappings and models for the team to approve, follow the asking user's permissions, and record their activity in the audit trail.
The Cube MCP Server gives external AI tools and customer-built agents read and write access through approvals and the audit trail.
AI features
- Charlie (super agent) Suggests and acts
- FP&Agents teams (Business Partner, Planner, Analyst, Data Manager) Suggests and acts
- Cube MCP Server Suggests and acts
Unclear or conflicting
Agent autonomy versus review before changes land (unclear)
Statement A
FP&Agents take on whole jobs and carry them to a finished answer, pulling, reconciling, modeling and drafting autonomously, with read and write access.
cubesoftware.com/ai-agents
FP&Agents description; Charlie steps
Statement B
Agents propose changes to mappings and models, and the team reviews and approves before anything lands.
cubesoftware.com/ai-agents
AI your auditor can live with
The two statements can be read together (agents work autonomously; changes to mappings and models are proposed for approval). Which agent actions take effect without approval is unclear.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
SOC 1 report
Statement A
The site footer on the security page, which also appears on the pricing page, reads "SOC 1 & SOC 2 Type 2 Certified".
cubesoftware.com/security
Site footer
Statement B
The assurance section and FAQ of the same security page name a SOC 2 Type II examination by Dansa D'Arata Soucia and do not mention a SOC 1 report.
cubesoftware.com/security
Assurance section; FAQ Is Cube SOC 2 Type II certified?
The footer and the body of the security page read differently. Whether a SOC 1 report exists, and for what period, is not stated in the body.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Datarails FinanceOS with Datarails AI
Datarails Software vendor
Datarails FinanceOS with Datarails AI
Planning and FP&A, Finance data and analytics
Built into the platform, Established machine learning and rules, General-purpose assistantSuggests
Vendor
Quote only
None found in the sources read
October 21, 2026
Summary, 4 AI features
Datarails describes AI Agents for the Office of the CFO that analyze, model and generate financial outputs on validated data, including Strategy, Reporting and Planning Agents.
It also offers Storyboards, an AI storytelling assistant whose generative AI, Datarails says, reveals the story behind financial data for sharing in presentations with management and the board, and says Datarails AI supports predictive forecasting, anomaly detection and scenario analysis.
The FinanceOS AI Connector links third-party AI tools to a governed layer with permissions, audit trails and data lineage.
Datarails' sub-processor list names Microsoft Azure, including Azure OpenAI, and both OpenAI and Anthropic for AI features.
AI features
- Datarails AI Agents (Strategy, Reporting, Planning) Suggests
- Storyboards Suggests
- Forecasting and anomaly detection Suggests
- FinanceOS AI Connector Not stated
Full record, with every source
Compare DataSnipper platform (Excel automation, AI agents and Alwin)
DataSnipper Software vendor
DataSnipper platform (Excel automation, AI agents and Alwin)
Audit and internal audit, SOX and controls, Reporting and disclosure +1
Agents and automated actions, Built into the platformSuggests and acts
Not stated
Quote only
None found in the sources read
October 12, 2026
Summary, 4 AI features
DataSnipper describes Alwin as an agentic automation platform where agents run end-to-end audit and finance procedures while the team reviews and signs off, with every step traceable.
It offers an Agent Builder, a library of 50 customizable prebuilt agents and Excel Agents that produce workpapers traced to source documents, and says organizations control who builds, runs and approves agents.
DataSnipper says customer data is not used to train LLMs and can be stored in the EU, the US or Australia.
AI features
- Alwin Suggests and acts
- Excel Agents Suggests and acts
- Agent Builder and Agent Library Not stated
- Disclosure Agents, DocuMine and AI Extractions Not stated
Full record, with every source
Compare AI Advantage for CFOs
Deloitte (US member firms of Deloitte Touche Tohmatsu Limited) Professional services firm
AI Advantage for CFOs
Audit firm
Planning and FP&A, Finance data and analytics
Agents and automated actions, General-purpose assistantSuggests and acts
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 3 AI features
Deloitte Consulting LLP announced AI Advantage for CFOs in April 2025 as an AI-powered analytics and insights platform built with Amazon Bedrock and Anthropic's large language models, including Finance Automation Agents for key finance processes.
The release lists CFO Insights, AI-Powered Finance, Agent Builder and Conversational AI among the capabilities a first client uses, powered by AWS technologies such as Amazon Bedrock Data Automation and Anthropic's Claude 3.7 Sonnet model.
A Center of Excellence works with CFOs on planning and analysis, forecast accuracy and automation with AI agents.
AI features
- Finance Automation Agents Acts
- AI finance analysis Suggests
- CFO Insights, AI-Powered Finance, Agent Builder, Conversational AI Not stated
Full record, with every source
Compare Deloitte Finance Operate Services
Deloitte (US member firms of Deloitte Touche Tohmatsu Limited) Professional services firm
Deloitte Finance Operate Services
Audit firm
Planning and FP&A, Accounts payable, Receivables and collections +6
Agents and automated actionsNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 1 AI features
Deloitte describes Finance Operate Services as ongoing finance managed services that combine specialized talent with AI and agentic AI solutions, such as Zora AI, across the finance value chain.
The listed scope runs from planning and forecasting, order-to-cash and procure-to-pay through close, external reporting, internal controls assessment, cash management and tax.
Engagements begin with benchmarking and then follow one of several models, from embedded resources to outcome delivery or rebadging captive teams.
AI features
- Zora AI and agentic AI solutions in delivery Not stated
Full record, with every source
Compare Zora AI (digital workers for finance)
Deloitte (US member firms of Deloitte Touche Tohmatsu Limited) Professional services firm
Zora AI (digital workers for finance)
Audit firm
Accounts payable, Receivables and collections, Finance data and analytics
Agents and automated actions, Established machine learning and rulesSuggests and acts
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Deloitte describes Zora AI as a digital workforce platform built on NVIDIA AI, with digital workers for finance, tax, procurement, HR and IT.
It says the workers perceive, reason and act, handling high-volume transactional work end to end without manual intervention while showing human-readable reasoning at each step.
Named finance workers include Autonomous Invoice Management, Autonomous Cash Application and CFO Insights powered by Zora AI.
Deloitte's FAQ says Zora AI has no SOX controls built in and that controls must be designed for each organization.
AI features
- Zora AI digital workers (platform) Acts
- Zora AI Perform Autonomous Invoice Management Acts
- Zora AI Perform Autonomous Cash Application Acts
- CFO Insights powered by Zora AI Not stated
Unclear or conflicting
Where client data sits
Statement A
The Zora AI architecture is available as SaaS, or to be deployed onto clients' own hyperscaler or on-premises environments.
deloitte.com/us/en/services/consulting/services/zora-generative-ai-agent.html
architecture paragraph
Statement B
FAQ 4: Your data is your data. It never leaves your infrastructure.
deloitte.com/us/en/services/consulting/services/zora-generative-ai-agent.html
FAQ 4
Both statements are on the same page. How the data statement applies to the SaaS option is not stated; a question for Deloitte.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Eightfold Matching Model and AI Interviewer
Eightfold AI Software vendor
Eightfold Matching Model and AI Interviewer
Screening and ranking, Interviewing, Internal mobility
Established machine learning and rules, Agents and automated actionsSuggests and acts
Vendor, Customer HR team
Not stated
None found in the sources read
October 21, 2026
Summary, 3 AI features, conflicts
Eightfold's Matching Model scores a candidate's skills and experience against a role from 0 to 5 stars, mainly in the initial phases of external applications and occasionally for internal moves such as promotions.
Its AI Interviewer, as the audit summary describes it, uses large language models to generate interview questions and follow-ups and to score the transcript against an editable rubric, and hiring managers see only the overall score.
Eightfold says the software recommends and does not reject or advance a candidate on its own.
It publishes BABL AI bias-audit summaries for both tools, dated March 3, 2026 and June 29, 2026, and the AI Interviewer audit tested race and ethnicity on synthetic interviews.
AI features
- Matching Model (Match Score) Suggests
- AI Interviewer Suggests and acts
- Interview fraud detection and identity verification Suggests
Unclear or conflicting
How AI Interviewer's underlying model is described
Statement A
The BABL AI audit summary describes AI Interviewer as built to conduct automated screening interviews using a large language model, with an LLM generating questions and another LLM scoring the transcript.
eightfold.ai/wp-content/uploads/eightfold-ai-interviewer-summary-of-bias-audit-results.pdf
System Description (p. 5)
Statement B
The AI Interviewer product page says it runs on a Talent Intelligence engine trained on real-world career trajectories, not a generic LLM.
eightfold.ai/products/ai-interviewer/
FAQ, What makes AI Interviewer different
Which models generate questions and score answers, and whether they are general-purpose LLMs, is a question for Eightfold. The product page does not say the product uses no LLM; it says the engine is not a generic one.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Signature date of the AI Interviewer bias audit
Statement A
The AI Interviewer bias audit results page heads the audit Audited June 29, 2026 | Signed: July 28, 2026.
eightfold.ai/trust/ai-interviewer-bias-audit-results/
page header
Statement B
The same page's audit details, and the audit summary PDF, give the signature date as July 8, 2026.
eightfold.ai/wp-content/uploads/eightfold-ai-interviewer-summary-of-bias-audit-results.pdf
Letter from the Lead Auditor (p. 4)
Recorded under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Whether AI Interviewer acts after a recruiter's first advance
Statement A
Responsible AI page: the AI provides recommendations and explainability to support hiring teams; it does not autonomously reject a candidate or advance one through a hiring stage on its own.
eightfold.ai/trust/responsible-ai/
FAQ
Statement B
AI Interviewer page FAQ: Recruiters advance the candidate once. Eightfold AI Interviewer takes it from there.
eightfold.ai/products/ai-interviewer/
FAQ
Recorded under D-143 (finding R-22), not resolved. What AI Interviewer does after the first advance without a person's decision is a question for Eightfold.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Esker Office of the CFO suite (source-to-pay and order-to-cash) with Synergy AI Agents
Esker Software vendor
Esker Office of the CFO suite (source-to-pay and order-to-cash) with Synergy AI Agents
Accounts payable, Receivables and collections, Spend and procurement
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features
Esker describes its Synergy AI Agents as an intelligence layer embedded across its source-to-pay and order-to-cash suite, with agents for accounts payable, cash application, credit management, customer inquiries, sourcing and procurement.
Esker says the agents combine document AI, machine learning, generative AI with retrieval from business data, RPA and orchestration.
Users can work through Microsoft Teams, Slack or chat to approve remittances or trigger workflow actions, while Esker says teams stay in control of approvals, exceptions and policy-driven actions.
AI features
- Accounts Payable Agent Suggests and acts
- Cash Application Agent Suggests and acts
- Credit Management Agent Suggests
- Conversational finance (Teams, Slack, chat) Acts
- Generative AI and retrieval Suggests
Full record, with every source
Compare EY finance managed services
EY (Ernst & Young LLP, US) Professional services firm
EY finance managed services
Audit firm
Accounts payable, Receivables and collections, Close +2
Not statedNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 0 AI features
EY says its professionals use proven accelerators to redesign and run finance operations with continuous, AI-enabled improvement, including end-to-end procure-to-pay, order-to-cash and controllership.
The page cites more than 33,000 finance and tax managed services professionals and more than 50 ready-to-deploy AI solutions for finance operations.
EY ties agentic efficiency gains to a unified, transaction-level finance data foundation across ERPs.
AI features
Not stated
Full record, with every source
Compare EY.ai Agentic Platform
EY (Ernst & Young LLP, US) Professional services firm
EY.ai Agentic Platform
Audit firm
Tax, Reporting and disclosure
Agents and automated actionsNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features
EY announced the EY.ai Agentic Platform in March 2025, created with NVIDIA and starting with tax, risk and finance domains, and said it will run across client clouds, on-premises and the NVIDIA Cloud Provider ecosystem.
Its components include responsible AI guardrails, an agentic framework, a model catalog of NVIDIA and fine-tuned EY models, and agents for indirect tax, income tax compliance, regulatory compliance and financial reporting.
EY says the first wave is to feature 150 tax agents assisting 80,000 EY tax professionals.
AI features
- Domain AI agents (tax, regulatory compliance, financial reporting) Not stated
- Tax agents (first wave) Not stated
Full record, with every source
Compare FloQast Close Management and Close AI
FloQast Software vendor
FloQast Close Management and Close AI
Full profile
Close, Reconciliation, SOX and controls
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 6 AI features, conflicts
FloQast describes itself as an accounting workflow automation platform trusted by more than 3,500 accounting teams for close management, account reconciliations, accounting operations and compliance.
Its pricing page groups the close offering into a Close Management package, with a checklist, reconciliations and an AI assistant, and a Close AI package that adds AI agents, AI matching, automated reconciliations and journal entry posting.
FloQast says its Transform agents automate recurring close work from pulling data to tying out and posting, with an accountant signing off before an agent runs.
AI features
- AI Agents (FloQast Transform) Acts
- AI Assistant, journal entry review Suggests
- AI Matching Acts
- AI Variance Analysis Suggests
- Detect Suggests
- Journal entry posting Acts
Unclear or conflicting
Pricing basis: master agreement per-user terms versus pricing page
Statement A
Master Subscription Agreement (Revision 2024.2) Section 1.c makes the Services available on a per-User basis, or per Client where the Order so specifies.
floqast.com/legal/legal-documents/msa-112224
Section 1.c.i and 1.c.ii
Statement B
Pricing page states No Per-User Fees and that packages scale with business outcomes rather than seat count.
floqast.com/pricing
heading; package cards
Which basis a given order uses is a question for FloQast; the MSA read is the most recent dated version listed (C-2151).
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Availability of the COSO GenAI governance capability
Statement A
GenAI Governance Framework page heads its Automated Evidence Capture block Available Today.
floqast.com/close-ai/products/genai-governance-framework
feature block heading
Statement B
September 16, 2026 release says FloQast will soon operationalize COSO's GenAI governance framework as the COSO GenAI Module.
floqast.com/press-releases/floqast-takecontrol-2026-ai-accounting-innovations
New Innovations: COSO GenAI Module
Which parts of the governance offering are available now is not stated.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Genpact AP Suite
Genpact Managed services provider
Genpact AP Suite
Accounts payable
Agents and automated actions, Established machine learning and rulesSuggests and acts
Professional services firm, Customer finance team
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features
Genpact's AP Suite applies agentic AI to accounts payable through four modules: AP Capture, AP Advance, AP Trace and AP Assist.
Genpact says its agents read and validate invoices, manage matching, exceptions and auto-posting, route to people when needed, and learn from feedback over time.
AP Trace looks for duplicate invoices and unusual patterns, and AP Assist handles supplier queries in several languages.
Genpact says client data stays in the client's environment under the agreed deployment model and is not used to train models for other clients.
AI features
- AP Capture Not stated
- AP Advance Suggests and acts
- AP Trace Suggests
- AP Assist Acts
Full record, with every source
Compare Genpact Finance Actions Hub
Genpact Managed services provider
Genpact Finance Actions Hub
Planning and FP&A, Finance data and analytics, Reporting and disclosure
Agents and automated actions, General-purpose assistant, Established machine learning and rulesSuggests
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features
Genpact describes Finance Actions Hub as agentic AI-assisted decision support for FP&A.
It names four agents: forecasting and scenario, insight and diagnostics, anomaly detection, and an insight narrative agent that drafts commentary for reporting packs.
Genpact says human-in-the-loop review is built in at every step and that the product uses a proprietary, industry-specific fine-tuned model rather than a generic large language model.
AI features
- Forecasting and scenario agent Suggests
- Insight and diagnostics agent Suggests
- Anomaly detection agent Suggests
- Insight narrative agent Suggests
Full record, with every source
Compare Genpact Record-to-Report Suite
Genpact Managed services provider
Genpact Record-to-Report Suite
Close, Reconciliation
Agents and automated actions, Established machine learning and rulesSuggests and acts
Professional services firm, Customer finance team
Not stated
None found in the sources read
October 12, 2026
Summary, 3 AI features
Genpact presents the Record-to-Report Suite as agentic AI for the close, in three modules: Journal Entry, Reconciliation and Intercompany.
Its agents ingest data from ERPs, sub-ledgers and bank files, apply self-learning rules to match transactions and classify exceptions, and route anything needing a human decision.
Genpact says the Reconciliation agents verify evidence, score confidence and classify open items, with a full audit trail of every action.
It positions the suite as a finance domain layer over the client's existing ERPs and cloud AI platforms.
AI features
- Journal Entry module Not stated
- Reconciliation module Suggests and acts
- Intercompany Assistant Suggests and acts
Full record, with every source
Compare Glean Work AI Platform
Glean (Glean Technologies, Inc.) Software vendor
Glean Work AI Platform
Enterprise search, Enterprise assistant, Agent platform
General-purpose assistant, Agents and automated actionsSuggests and acts
Customer IT
Not stated
None found in the sources read
October 21, 2026
Summary, 2 AI features
Glean sells an enterprise AI platform of agents, assistant and search that connects to the applications a customer selects while keeping each application's identity, access controls and sharing settings.
Its agents reason through tasks, plan next steps and act using company context, can be triggered by events, and can be shared and certified with controls.
Glean's AI Addendum lets customers choose models from OpenAI, Anthropic, Google and others, and commits that Glean will not train AI models on customer data.
Under Glean's own model key, Glean says it keeps contractual commitments barring model providers from training on customer data and from storing or logging inputs and outputs, except as required by law or for trust and safety.
AI features
- Glean Assistant and Search Suggests
- Glean Agents Acts
Full record, with every source
Compare Gemini Enterprise
Google (Alphabet Inc.) Platform provider
Gemini Enterprise
Enterprise search, Enterprise assistant, Agent platform
General-purpose assistant, Agents and automated actionsSuggests and acts
Customer IT, Individual user
Per user
None found in the sources read
October 21, 2026
Summary, 3 AI features
Google describes Gemini Enterprise as an intranet search, AI assistant and agentic platform with prebuilt connectors to applications such as Confluence, Jira, SharePoint and ServiceNow, giving permissions-aware access to company information.
Alphabet's 10-K describes it as a platform for teams to discover, create, share and run AI agents through a chat interface.
It comes in Business, Standard, Plus, Pay-as-you-go and Frontline editions, with no-code agent building in preview and enterprise-grade security and compliance excluded from the Business edition.
Google says business data, including prompts and outputs, is never used to train Google models.
AI features
- Permission-aware enterprise search and assistant Suggests
- Custom no-code agents Not stated
- Gemini agent for delegated work Acts
Full record, with every source
Compare Gemini in Workspace and the Gemini app
Google (Alphabet Inc.) Platform provider
Gemini in Workspace and the Gemini app
Enterprise assistant
Built into the platform, General-purpose assistant, Agents and automated actionsSuggests and acts
Customer IT, Individual user
Not stated
None found in the sources read
October 21, 2026
Summary, 3 AI features, conflicts
Alphabet's 10-K describes Gemini for Google Workspace as bringing Google's AI-powered agents into Gmail, Docs, Sheets and more, and Google now treats the Gemini app as a core Workspace service for most editions.
Gemini draws on Gmail, Drive, Calendar and Chat through Workspace Intelligence, follows existing Workspace permissions, and checks for threats before it performs an action.
Google says prompts are customer data under the Cloud Data Processing Addendum and that its Workspace Service Specific Terms bar training on customer data without permission.
Admins can turn the Gemini app on or off and, in supported editions, switch Gemini features on or off in Gmail, Drive, Docs, Meet and Chat, and Workspace audit logs cover Gemini interactions.
AI features
- Gemini in Gmail, Drive, Docs, Meet and Chat Suggests
- Gemini app (with Workspace Intelligence) Suggests
- Gemini actions in Workspace Acts
Unclear or conflicting
Maximum retention of Gemini app conversations
Statement A
Privacy Hub retention table: Gemini app prompts and responses are kept up to 36 months, as determined by admins.
knowledge.workspace.google.com/admin/generative-ai/generative-ai-in-google-workspace-privacy-hub
Statement B
Same page, retention controls: admins can set automated retention periods such as 3 months, 18 months or 3 years, or retain conversations indefinitely for the organization.
knowledge.workspace.google.com/admin/generative-ai/generative-ai-in-google-workspace-privacy-hub
Recorded under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Grant Thornton | Auxis Finance and Accounting Outsourcing & Transformation
Grant Thornton (US) Professional services firm
Grant Thornton | Auxis Finance and Accounting Outsourcing & Transformation
Audit firm
Not stated
Not statedNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 0 AI features
Grant Thornton says its finance and accounting outsourcing combines professionals certified in United States GAAP and IFRS with AI-powered automation, process excellence and nearshore delivery.
The work runs on Auxis' platform, anchored in Latin America, with partnerships across Microsoft, OpenAI, Oracle and Workday, for enterprises and mid-market companies.
An operate-to-transform model uses guaranteed outsourcing savings to fund AI and automation inside the outsourced operations.
AI features
Not stated
Full record, with every source
Compare Greenhouse Real Talent: Talent Matching
Greenhouse Software vendor
Greenhouse Real Talent: Talent Matching
Screening and ranking
Built into the platformSuggests
Customer HR team
Quote only
None found in the sources read
October 21, 2026
Summary, 1 AI features, conflicts
Greenhouse describes Talent Matching as a core component of Real Talent, a feature set that sorts applications into tiers against job criteria that recruiters choose and weight.
Greenhouse says the feature does not advance or reject anyone: it compares each resume with the recruiter's criteria, shows the basis for each result and leaves the decision to the recruiter.
Warden AI, engaged by Greenhouse, publishes a monthly bias audit; its October 14, 2026 report reported the same scoring rate and an impact ratio of 1.00 for every sex and race/ethnicity group tested, using the auditor's own test profiles because it had no access to historical data.
AI features
- Talent Matching Suggests
Unclear or conflicting
Whether Talent Matching produces a single score
Statement A
Greenhouse's AI principles: Greenhouse does not assign a single numerical score to rank candidates and instead surfaces discrete categories (Strong, Good, Partial, Limited) with explanations.
greenhouse.com/ai-principles
No composite people-scoring
Statement B
Warden AI's audit report, linked from Greenhouse's bias audit statement: Talent Matching assesses each candidate against customer-defined, weighted criteria and an overall match score is produced; output: match score.
trust.warden-ai.com/greenhouse/talent-matching/nyc
System overview
Recorded under D-143, not resolved. Greenhouse's Real Talent page also refers to the data underlying match scores (C-30444).
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Greenhouse Voice AI (AI interview agent)
Greenhouse Software vendor
Greenhouse Voice AI (AI interview agent)
Interviewing, Screening and ranking
Agents and automated actionsSuggests and acts
Customer HR team
Quote only
None found in the sources read
October 21, 2026
Summary, 3 AI features, conflicts
Greenhouse Voice AI conducts a two-way voice interview on the candidate's schedule, asks follow-up questions against the questions and rubric the hiring team sets, and returns a score, transcript and per-question explanations.
Greenhouse says scoring is rubric-based on audio transcripts and leaves out accent, tone, fluency, pace, personality and confidence.
It states that Voice AI never advances or rejects a candidate and that recruiters can override every score.
Greenhouse sells it as a standalone annual subscription priced on headcount, with or without its own applicant tracking system.
AI features
- Voice AI interview Acts
- Interview scoring and explanations Suggests
- Cheat and inconsistency detection Suggests
Unclear or conflicting
Whether Voice AI is inside Greenhouse's ISO/IEC 42001 audit scope
Statement A
Voice AI page, governance features: Voice AI sits inside Greenhouse's ISO/IEC 42001 audit scope.
greenhouse.com/voice-ai-interviewing
Built for compliance and governance, key features
Statement B
Same page, FAQ: Greenhouse is ISO 42001 certified, and Voice AI is in scope for its next audit cycle in Q4.
greenhouse.com/voice-ai-interviewing
FAQ: How do you make sure it stays secure, compliant and fair?
Recorded under D-143, not resolved. The FAQ does not give the year of the Q4 cycle.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Harver predictive assessments and matching
Harver Software vendor
Harver predictive assessments and matching
Assessment and testing, Screening and ranking, Interviewing
Established machine learning and rules, Built into the platformSuggests and acts
Vendor, Customer HR team
Not stated
None found in the sources read
October 21, 2026
Summary, 4 AI features, conflicts
Harver's platform evaluates a candidate's personality, cognitive abilities and job-specific skills to produce a Matching Score and a Recommended outcome, with module weights and scoring thresholds that users can configure.
Harver says it also uses AI for spoken language assessments, video interview analysis, explanations of the traits measured and automated steps such as stage progression and interview scheduling.
Harver publishes a bias audit summary by BABL AI, dated November 4, 2025, on April to May 2025 data that quantified impact by gender and race/ethnicity only.
Its reported impact ratios range from 0.750 to 1.000, with groups under 2% of applicants not reported.
AI features
- Matching Score (predictive assessments and matching) Suggests
- AI assessments (spoken language, video interview analysis) Suggests
- Explanations of results Suggests
- Automation (stage progression, scheduling, fraud detection, chatbot) Acts
Unclear or conflicting
Whether candidates progress without a person's decision
Statement A
Responsible AI page: Harver's AI is decision-support, not decision-making, and human judgment remains central.
harver.com/why-harver/responsible-ai-in-hiring/
FAQ: What type of oversight is in place for AI decisions?
Statement B
Same page lists 'automated stage progression' and 'automatic interview scheduling' as AI uses, while its FAQ says scheduling and screening are rule-based automation, not AI (C-30468).
harver.com/why-harver/responsible-ai-in-hiring/
Harver's Use of AI: Automating; FAQ on automation and AI
Recorded under D-143, not resolved. Whether a candidate can move or stop at a stage on a Matching Score threshold without a person's review is not stated; Harver separates rule-based automation from AI (C-30468).
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare HighRadius Order to Cash (credit, e-invoicing, cash application, deductions, collections)
HighRadius Software vendor
HighRadius Order to Cash (credit, e-invoicing, cash application, deductions, collections)
Receivables and collections
Agents and automated actions, Established machine learning and rulesSuggests and acts
Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
HighRadius sells order-to-cash software in which AI agents handle credit scoring, cash application, deductions and collections.
It says cash application agents extract remittance data from emails and portals and match payments to open invoices, logging all user actions and system recommendations, and that the system sets and adjusts credit limits from risk profiles.
HighRadius's home page advertises guaranteed KPI improvements, including a 10% reduction in DSO, with details defined per client in Mutually Agreed Success Criteria, and its order-to-cash page cites DSO reductions of up to 30%.
The home page also advertises outcome-based pricing, under which it says customers pay only when the AI agents improve agreed KPIs, while the pricing page describes subscription pricing.
AI features
- Cash application agents Acts
- Collections agents Suggests and acts
- Credit agents and AI credit scoring Acts
- Deductions coding Acts
Unclear or conflicting
Number of AI agents HighRadius states
Statement A
Home page: "190+ AI Agents Orchestrated On a Single Platform".
highradius.com/
190+ AI Agents Orchestrated On a Single Platform
Statement B
Same page, lower section: "180+ AI Agents In Action".
highradius.com/
180+ AI Agents In Action
Both figures are on the same page and neither is dated. Recorded under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Number of customers HighRadius states
Statement A
Home page: "Trusted By 1500+ Finance Teams Of All Sizes".
highradius.com/
Trusted By
Statement B
Same page: "Delivering Business Outcomes for 1300+ Customers" and "Trusted By 1300+ Global Businesses".
highradius.com/
Delivering Business Outcomes for 1300+ Customers; Trusted By 1300+ Global Businesses
The same page also says "Delivering Business Outcomes for 1500+ Customers". It does not say whether finance teams, businesses and customers are counted differently. Recorded under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
How HighRadius describes its pricing
Statement A
Home page: Outcome Based Pricing; "you will only pay when the AI Agents deliver value basis improvement in KPIs (Mutually Agreed Success Criteria – MASC)", with implementation fees of $0, fees till go-live of $0 and a gain share post go-live.
highradius.com/
Now Pay Only For The Business Outcomes
Statement B
Pricing page: subscription-based pricing that allows customers to pay as they go, typically on an annual subscription model.
highradius.com/pricing/
hero; Software as a Service paragraph
The pages do not say whether outcome-based pricing replaces the subscription, applies to some products only or sits alongside it. Recorded as unclear under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare HighRadius Treasury & Risk (cash forecasting, cash management, treasury payments)
HighRadius Software vendor
HighRadius Treasury & Risk (cash forecasting, cash management, treasury payments)
Treasury and cash
Built into the platform, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 3 AI features, conflicts
HighRadius sells treasury software that, it says, produces AI-powered cash flow forecasts with 95% accuracy up to 12 months ahead, using models tailored to each customer.
It also describes rule-based daily reconciliation of planned against actual bank transactions, multi-level payment approvals and AI-driven fraud detection on payments.
AI features
- AI cash flow forecasting Suggests
- Payment fraud detection Suggests
- Rule-based cash reconciliation Acts
Unclear or conflicting
How HighRadius describes its pricing
Statement A
Home page: Outcome Based Pricing; "you will only pay when the AI Agents deliver value basis improvement in KPIs (Mutually Agreed Success Criteria – MASC)", with implementation fees of $0, fees till go-live of $0 and a gain share post go-live.
highradius.com/
Now Pay Only For The Business Outcomes
Statement B
Pricing page: subscription-based pricing that allows customers to pay as they go, typically on an annual subscription model.
highradius.com/pricing/
hero; Software as a Service paragraph
The pages do not say whether outcome-based pricing replaces the subscription, applies to some products only or sits alongside it. Recorded as unclear under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare HireVue AI Interviewer and AI-scored assessments
HireVue Software vendor
HireVue AI Interviewer and AI-scored assessments
Interviewing, Assessment and testing, Screening and ranking
Established machine learning and rules, Agents and automated actionsSuggests and acts
Vendor, Customer HR team
Quote only
None found in the sources read
October 21, 2026
Summary, 3 AI features
HireVue's 2025 Explainability Statement says it uses AI to score video interviews and game-based assessments, which it describes as a structured way for recruiters to screen many candidates.
Its interview scoring works from a transcript of what the candidate says and does not analyze video, facial expressions or tone of voice, while its games can measure competencies including personality characteristics.
Its AI Interviewer drafts questions and rubrics from the job description for the customer to approve, holds the conversation with follow-up questions, and scores each answer for recruiters to review in the applicant tracking system.
HireVue's 2025 Explainability Statement says the employer makes the final decision, and that candidates can opt out of AI evaluation of interviews and be rated by recruiters on the same scales instead.
AI features
- AI-scored video interview assessment Suggests
- Game-based assessments Suggests
- AI Interviewer Suggests and acts
Full record, with every source
Compare IBM Finance and Accounting Outsourcing
IBM (International Business Machines Corporation) Software vendor
IBM Finance and Accounting Outsourcing
Receivables and collections, Close, Accounts payable +3
Agents and automated actions, General-purpose assistantActs
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features
IBM Consulting offers finance and accounting outsourcing; its page invites clients to let agentic AI run their "B2C and R2A" operations, which its capability sections title bill-to-cash and record-to-analyze.
It describes agentic workflows across billing, cash application and dispute resolution, AI-embedded record-to-analyze processes that automate validation, and agentic procure-to-pay controls.
Separately, IBM describes IBM Consulting Advantage, which it says equips nearly 150,000 consultants with AI assistants, agents and applications and brings finance assets to operations it manages, and a business operations version that applies machine learning and agentic AI across business operations.
CoE analysis The outsourcing page does not name Consulting Advantage.
AI features
- Agentic bill-to-cash workflows Acts
- AI-embedded record-to-analyze Not stated
- Agentic procure-to-pay control Not stated
- IBM Consulting Advantage (finance assets) Not stated
Full record, with every source
Compare IBM watsonx Orchestrate
IBM (International Business Machines Corporation) Software vendor
IBM watsonx Orchestrate
Agent platform, Process automation
Agents and automated actionsActs
Customer IT
Published list priceUSD 530
None found in the sources read
October 21, 2026
Summary, 2 AI features
IBM describes watsonx Orchestrate as an agent management platform to build, deploy, orchestrate, manage and govern AI agents wherever they are built or run, including agents it finds in connected environments such as Amazon Bedrock.
IBM says it applies policies across agents, tools and models, enforces controls on sensitive and personal data as work runs, and shows token usage and model calls.
It runs as a managed service on IBM Cloud or AWS, or on premises.
IBM's published pricing, October 2026, lists Essentials from $530.00 and Standard from $6,360.00 USD per month, with Premium, which adds data isolation, priced on request.
AI features
- Agent building and orchestration Acts
- Control plane and governance Not stated
Full record, with every source
Compare iCIMS AI (Candidate Ranking, talent matching and AI Sourcing Agent)
iCIMS Software vendor
iCIMS AI (Candidate Ranking, talent matching and AI Sourcing Agent)
Recruiting and sourcing, Screening and ranking, Interviewing +1
Built into the platform, Agents and automated actionsSuggests and acts
Customer HR team
Quote only
None found in the sources read
October 21, 2026
Summary, 4 AI features
iCIMS describes iCIMS AI as agents and AI features that support sourcing, matching, engagement and coordination across hiring, with recruiters choosing how much autonomy to enable.
Its Candidate Ranking feature matches candidate skills and experience to a job description and surfaces the highest-matching candidates, and AI Talent Explorer ranks applicants by role fit in each job.
The AI Sourcing Agent, which iCIMS says runs on Anthropic's Claude, searches the customer's own iCIMS candidate database and can send invite-to-apply emails automatically. iCIMS says independent auditors reviewed Candidate Ranking for bias in November 2022 and November 2023, and that it provides a summary of findings to customers on request.
AI features
- Candidate Ranking (Role Fit) and AI Talent Explorer Suggests
- AI Sourcing Agent Suggests and acts
- Other iCIMS AI features (talent matching, GenAI search assistant, AI-generated interview questions, career site chatbot, email writing) Suggests
- Frontline AI Not stated
Full record, with every source
Compare Infor Financials (financial management suite) and Infor Industry AI Agents
Infor Platform provider
Infor Financials (financial management suite) and Infor Industry AI Agents
ERP core, Consolidation, Close +3
Built into the platformNot stated
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 1 AI features
Infor Financials is Infor's cloud financial management suite, which Infor describes as AI-powered, covering multi-ledger accounting, financial consolidation and intercompany support, with Infor EPM for planning and consolidation and Infor GRC for automated controls.
Infor's industry AI agents are built within Infor GenAI Assistant for Infor CloudSuite and are in limited availability.
Finance-related agents appear only under particular industry headings: a General Ledger Agent (automotive), an Accounts Payable Agent (aerospace and defense; manufacturing) and a Cash Operations Agent (healthcare; public sector), each retrieving information such as financial periods, supplier invoices or bank statements.
AI features
- Infor Industry AI Agents with finance roles (listed by industry) Not stated
Full record, with every source
Compare Jedox planning platform with JedoxAI
Jedox Software vendor
Jedox planning platform with JedoxAI
Planning and FP&A
Built into the platform, Established machine learning and rules, Agents and automated actions, General-purpose assistantSuggests
Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Jedox describes JedoxAI as a multi-agent intelligence engine that uses agentic AI, machine learning and generative AI to deliver explainable forecasts and insights.
Its Planning Wizards, which the page places under a Planning Agent in a section whose intro line reads "On the horizon", lead driver analysis, revenue forecasting, demand planning, churn prediction, anomaly detection and data readiness.
Jedox MCP gives AI agents and enterprise AI tools governed access to Jedox data, models and business logic under the customer's roles and permissions.
Jedox says JedoxAI runs on Microsoft Azure OpenAI Services with a dedicated language model per instance and customer-exclusive fine-tuned models.
AI features
- JedoxAI Planning Wizards Suggests
- Jedox AIssisted Planning and Forecasting model Not stated
- JedoxAI Agents Not stated
- Jedox MCP Suggests
Unclear or conflicting
Availability of JedoxAI Agents
Statement A
The AI page opens: "From complexity to clarity, JedoxAI Agents empower Finance to lead with confidence".
jedox.com/en/platform/ai/
Hero
Statement B
The JedoxAI Agents section introduces them as "On the horizon—the next generation of intelligent agents".
jedox.com/en/platform/ai/
JedoxAI Agents section
Both statements are on the same page; which agents are available now is not stated. The Planning Wizards are described under the Planning Agent in the on-the-horizon section, and the raw-data-to-model flow is credited to "Jedox MCP and JedoxAI agents".
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Package names
Statement A
The pricing page says to choose between Essential, Business and Professional packages.
jedox.com/en/platform/pricing/
Subscriptions & Packages intro
Statement B
The subscription plans listed on the same page are Business, Professional and Professional Plus.
jedox.com/en/platform/pricing/
Subscription plans
Whether an Essential package exists is not stated elsewhere on the page.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Customer size
Statement A
Jedox subscription plans meet the requirements of small, midsize and large organizations.
jedox.com/en/platform/pricing/
Intro
Statement B
Jedox supports businesses of all sizes, from mid-sized organizations to large enterprises.
jedox.com/en/platform/pricing/
FAQ Is Jedox suitable for my business size or industry?
Whether small organizations are in scope is stated differently.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare KPMG agentic close command center
KPMG LLP (US) Professional services firm
KPMG agentic close command center
Audit firm
Close, Reconciliation
Agents and automated actionsSuggests and acts
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features, conflicts
KPMG says it helps companies enable a close command center that coordinates specialized AI agents to monitor transactions, automate reconciliations and give real-time visibility over existing finance systems, with agents that flag exceptions and prepare draft entries.
The FAQ describes more than 200 pre-built cloud connectors to existing ERPs and says human-in-the-loop validation, approval thresholds and segregation of duties are embedded in every agent workflow.
AI features
- Close agents (accruals, reconciliations, anomalies) Suggests and acts
- Close command center Suggests
Unclear or conflicting
Human validation versus full automation
Statement A
FAQ: The agentic close adopts an exception-first operating model. AI agents automate repetitive transaction matching and routine accrual calculations, surfacing only policy exceptions, variance anomalies, or complex judgments to a designated professional. Mandatory human-in-the-loop validation, strict approval thresholds, and segregation of duties are embedded directly into every agent workflow.
kpmg.com/us/en/articles/2026/take-command-of-the-financial-close.html
FAQ, "Is there still a human role in an automated, agentic financial close?"
Statement B
Exception-first automation: Witness how routine reconciliations and accruals are fully automated.
kpmg.com/us/en/articles/2026/take-command-of-the-financial-close.html
form confirmation dialog shown after the walkthrough request is submitted (dialog id=demo in the page HTML; not visible article text)
Both statements are in the same page's HTML. The FAQ's exception-first description may bear on how they fit together; which routine items pass without human validation is not stated. Recorded, not resolved (D-143).
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare KPMG Ignite Financial Close Companion
KPMG LLP (US) Professional services firm
KPMG Ignite Financial Close Companion
Audit firm
Close
Agents and automated actionsSuggests and acts
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features
KPMG introduced the Ignite Financial Close Companion on April 22, 2026, an AI-powered assistant for the month-end close aimed at legal entity controllers and accounting analysts, powered by Google Cloud's Gemini Enterprise and integrated with Workday.
KPMG says users give natural-language instructions to initiate and execute close activities, the agent follows a month-end checklist and flags anomalies, and human review and signoff stay in the loop.
AI features
- Close task execution Acts
- First-pass analysis and anomaly flags Suggests
Full record, with every source
Compare KPMG Intelligent Close (Finance as a Service)
KPMG LLP (US) Professional services firm
KPMG Intelligent Close (Finance as a Service)
Audit firm
Close, Reporting and disclosure, Finance data and analytics
Agents and automated actionsActs
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 1 AI features
KPMG describes Intelligent Close as offered through Finance as a Service and supported by AI, embedding digital, analytical and AI capabilities from transaction creation through accounting and reporting, including AI agents that can perform tasks autonomously under governance and controls.
Clients can take it as one of several a la carte services or the whole platform, delivered as build and operate or build, operate and transfer, on client-owned or KPMG-provided technology.
AI features
- Autonomous AI agents in the close Acts
Full record, with every source
Compare Kyriba liquidity platform with TAI and the Trusted AI portfolio (Cash AI, Invoice AI, Fraud Detection AI)
Kyriba Software vendor
Kyriba liquidity platform with TAI and the Trusted AI portfolio (Cash AI, Invoice AI, Fraud Detection AI)
Treasury and cash, Receivables and collections
Agents and automated actions, Built into the platform, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features, conflicts
Kyriba's TAI is an AI agent for treasury that answers questions on treasury data, runs repeatable Skills, prepares recommendations and executes actions with the customer's approval, from money market investments to stablecoin payments.
Kyriba says agents see and do only what the user is authorized to, that sensitive actions always require explicit approval, and that free-form generation never triggers financial actions by itself.
Alongside TAI, Kyriba lists Cash AI for forecasting, Invoice AI for predicting customer payment dates and Fraud Detection AI for real-time payment screening.
AI features
- TAI (agentic AI) Suggests and acts
- TAI Skills Suggests and acts
- Cash AI Suggests
- Invoice AI Suggests
- Fraud Detection AI Suggests
Unclear or conflicting
Unclear: whether partner infrastructure sits inside the customer's trusted environment
Statement A
TAI page: TAI uses an embedded LLM and, unlike solutions that rely on external AI services, financial data never leaves the customer's trusted environment.
kyriba.com/products/agentic-ai-tai/
FAQ: How does Kyriba ensure data privacy for TAI?
Statement B
TAI announcement: Kyriba works with partners such as Databricks to deliver governed data at scale and distributed processing.
kyriba.com/blog/agentic-ai-tai-launch/
opening; Built with trusted partners
Not a contradiction: the announcement does not say where partner processing takes place, and the sources do not say whether partner infrastructure such as Databricks falls inside what Kyriba calls the customer's trusted environment. Recorded as unclear under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Medius AP Automation (Capture, SmartFlow, Copilot, Supplier Conversations, Fraud & Risk Detection, Payments)
Medius Software vendor
Medius AP Automation (Capture, SmartFlow, Copilot, Supplier Conversations, Fraud & Risk Detection, Payments)
Accounts payable, Expense
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 7 AI features, conflicts
Medius says it rebuilt its accounts payable platform to be AI-native in 2016 and that its AI now acts in the platform while the user reviews and stays in control.
SmartFlow auto-fills coding, tax and approver values for non-PO invoices, Medius Copilot answers approvers' questions, and Supplier Conversations replies to supplier email inquiries around the clock.
Medius says its Payment Optimization Agent recommends what goes in each payment batch, with nothing added without a user's click, while trusted suppliers can be set for automatic payment approval.
AI features
- Medius Capture (touchless capture) Acts
- SmartFlow Acts
- Medius Copilot Suggests
- Supplier Conversations Acts
- Payment Optimization Agent Suggests
- Touchless Payments Acts
- Fraud & Risk Detection and AI Receipt Verification Suggests
Unclear or conflicting
Touchless capture rate
Statement A
AI innovation page: Medius Capture learns from hundreds of millions of invoices to deliver 100% touchless capture rate.
medius.com/ai-innovation/
Data extraction and validation tab
Statement B
Autonomous AP page benchmark table: touchless capture rate for PO invoices 69.3% average and 99.3% best-in-class.
medius.com/ai-innovation/autonomous-accounts-payable/
AI-powered AP performance benchmarks and KPIs (table)
The pages do not say how the 100% figure relates to the benchmark rates, or what population either covers.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare LinkedIn Recruiter with Hiring Assistant
Microsoft Platform provider
LinkedIn Recruiter with Hiring Assistant
Recruiting and sourcing, Screening and ranking
Agents and automated actions, Built into the platformSuggests and acts
Customer HR team
Quote only
None found in the sources read
October 21, 2026
Summary, 4 AI features, conflicts
LinkedIn, part of Microsoft's Productivity and Business Processes segment, sells Hiring Assistant as an add-on to LinkedIn Recruiter.
LinkedIn describes it as an agent that turns a recruiter's intake into searches, sources candidates across LinkedIn, drafts outreach and evaluates applicants from LinkedIn and the customer's applicant tracking system against the hiring criteria.
Its white paper says it categorizes applicants against user-defined thresholds of requirements met but does not move them into the pipeline or screen them out, leaving those decisions to recruiters.
AI features
- Intake and sourcing Acts
- Applicant evaluation Suggests
- Outreach and pre-screening Suggests
- Hiring Assistant 2 Not stated
Unclear or conflicting
How the models behind Hiring Assistant are described
Statement A
White paper: the generative AI models for intake and search were developed by OpenAI and are used through Microsoft's Azure AI services; messaging uses an in-house model for English and GPT for other languages; candidate summaries use an in-house LLM.
business.linkedin.com/content/dam/lem/business/en/hire/ai-transparency/liha-white-paper.pdf
p. 10; p. 16
Statement B
Data flow diagram: intake, sourcing, evaluation and outreach sub-agents each run inference on Microsoft Azure and a LinkedIn in-house model, footnoted as a fine-tuned open-source model with LinkedIn Economic Graph data.
business.linkedin.com/content/dam/lem/business/en/hire/ai-transparency/liha-data-flow-diagram.pdf
diagram boxes; footnote *
Recorded under D-143, not resolved. Both documents are linked from LinkedIn's AI transparency page; the PDF files carry creation dates of March 18 and March 24, 2026.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Microsoft Copilot
Microsoft Platform provider
Microsoft Copilot
Enterprise assistant, Enterprise search
General-purpose assistant, Built into the platform, Agents and automated actionsSuggests and acts
Customer IT, Individual user
Per user
None found in the sources read
October 21, 2026
Summary, 3 AI features
Microsoft Copilot, formerly Microsoft 365 Copilot, coordinates large language models with Microsoft Graph content and the Microsoft 365 apps, and surfaces only data a user already has permission to view.
The Premium add-on license grounds answers in emails, files, meetings and calendars, while Copilot Chat (Basic) is included with eligible Microsoft 365 licenses and mainly uses web data.
Copilot Cowork, which carries out tasks across Microsoft 365 on the user's behalf, is billed by usage through Copilot Credits on top of the per-user license.
Microsoft says prompts, responses and Graph data are not used to train foundation models, and that Copilot interactions and admin activities are logged automatically in Purview Audit (Standard) when auditing is enabled, with references to the files accessed.
AI features
- Copilot Chat and Copilot in Microsoft 365 apps Suggests
- Copilot Cowork Acts
- Agents in Microsoft Copilot Not stated
Full record, with every source
Compare Microsoft Copilot Studio
Microsoft Platform provider
Microsoft Copilot Studio
Agent platform, Process automation
Agents and automated actions, General-purpose assistantSuggests and acts
Customer IT
Usage-based
None found in the sources read
October 21, 2026
Summary, 3 AI features
Copilot Studio is Microsoft's low-code studio for building and managing AI agents and workflows that connect to company data and systems and publish to channels such as Microsoft Teams, Microsoft Copilot, websites and mobile apps.
Agents follow their instructions and use tools to take action, some can be given their own account to work proactively, and workflows include human-in-the-loop controls.
Admins govern authentication, knowledge sources, connectors and publishing through Power Platform data policies, can cap pay-as-you-go spend, and see maker activity in Microsoft Purview audit logs.
Usage is billed in Copilot Credits, by feature, and unused Copilot Credits do not carry over to the next month.
AI features
- Agents Suggests and acts
- Workflows and agent flows Suggests and acts
- Build with natural language; app creation Suggests
Full record, with every source
Compare Microsoft Dynamics 365 Finance (Copilot and finance agents)
Microsoft Platform provider
Microsoft Dynamics 365 Finance (Copilot and finance agents)
ERP core, Close, Reconciliation +2
Built into the platform, General-purpose assistant, Agents and automated actions, Established machine learning and rulesSuggests and acts
Individual user
Published list priceUSD 210
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Dynamics 365 Finance belongs to Microsoft Dynamics, which Microsoft's 10-K describes as providing financial management and ERP solutions to small and medium businesses, large organizations and divisions of global enterprises.
Its Account Reconciliation Agent, documented as a production ready preview, evaluates reconciliation exceptions and recommends an action for each, which a user can accept or replace; the product page describes it as matching and clearing transactions autonomously.
Microsoft also describes Copilot features for invoice capture and collections, a Finance Agent in Microsoft 365 Copilot in preview, and custom agents built with Copilot Studio.
Microsoft's published pricing, October 2026, lists Dynamics 365 Finance at $210.00 and the Premium plan at $300.00 per user per month, paid yearly, and says agents run on Copilot Credits and require an Azure subscription.
AI features
- Account Reconciliation Agent Suggests and acts
- Copilot in Dynamics 365 Finance (Invoice Capture, collections) Not stated
- Finance Agent in Microsoft 365 Copilot Not stated
- Custom agents (Copilot Studio) Not stated
Unclear or conflicting
Whether the Account Reconciliation Agent recommends or acts
Statement A
Product page: the agents carousel describes the Account Reconciliation Agent as "Match and clear transactions between ledgers autonomously to help finance teams close their books with less manual work. Now in preview."
microsoft.com/en-us/dynamics-365/products/finance
Statement B
Documentation (production ready preview; prerelease): the agent evaluates exceptions and provides a recommended action for each, which the user can accept or replace.
learn.microsoft.com/en-us/dynamics365/finance/general-ledger/acct-rec-agent
Recorded under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare MindBridge AI Platform (Autonomous Financial Oversight and Augmented Assurance)
MindBridge Software vendor
MindBridge AI Platform (Autonomous Financial Oversight and Augmented Assurance)
Audit and internal audit, Close, Spend and procurement +1
Established machine learning and rules, Agents and automated actionsSuggests
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features, conflicts
MindBridge sells a platform that analyzes the full population of financial transactions to help finance and audit teams find risk, marketed as Autonomous Financial Oversight for companies and Augmented Assurance for CPA firms.
MindBridge says it combines statistical models, business rules and unsupervised machine learning to produce explainable, deterministic findings, and can analyze up to 1 billion transactions at once.
Its September 22, 2026 release previews close and spend oversight experiences and an agent that designs analyses, and describes an agentic risk assessment capability for auditors.
AI features
- Ensemble AI risk scoring Suggests
- Financial Close Oversight Suggests
- Agentic Risk Assessment Suggests
- Analysis Designer Agent Suggests
- MCP server Suggests
Unclear or conflicting
Availability of Financial Close Oversight
Statement A
September 22, 2026 release: MindBridge is previewing Financial Close Oversight and Spend Integrity Oversight.
mindbridge.ai/news/mindbridge-advances-financial-oversight-for-the-agentic-era-with-new-platform-capabilities/
The announcements include: More connected oversight for enterprise finance
Statement B
Financial Close Oversight product page: describes the product with no preview label.
mindbridge.ai/platform/financial-close-oversight/
hero
Unclear whether the preview applies to FCO itself or to a new experience of an existing product.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Numeric (close management, reconciliation, flux and cash)
Numeric Software vendor
Numeric (close management, reconciliation, flux and cash)
Close, Reconciliation, Treasury and cash +2
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Individual user
Quote only
None found in the sources read
October 12, 2026
Summary, 5 AI features
Numeric describes itself as a data platform for finance teams that covers the close, revenue recognition and cash management, either alongside an existing ERP or as a replacement for it.
Its close product combines a checklist, in-platform reconciliations against the general ledger with materiality thresholds, anomaly detection and flux analysis whose explanations are auto-drafted.
Numeric states that models never compute a number or draft a journal entry: agents draft rules and propose treatments for review, and approved rules do the accounting.
AI features
- Agentic flux analysis Suggests
- Rule-drafting agents Suggests
- Reconciliation auto-submission Acts
- Cash matching and bank statement parsing Acts
- App Studio and Numeric MCP Not stated
Full record, with every source
Compare OneStream Financial Close and Consolidation
OneStream Software vendor
OneStream Financial Close and Consolidation
Full profile
Close, Consolidation, Reconciliation +1
Built into the platform, Established machine learning and rulesSuggests
Customer finance team, Customer IT
Quote only
None found in the sources read
October 12, 2026
Summary, 1 AI features
OneStream's Close – Standard package includes OneStream Financial Close, Account Reconciliations, Journal Entry Manager, Task Manager, Transaction Matching, Reporting Compliance and Contract Compliance.
Consolidation – Standard includes financial model consolidation with currency translation, eliminations, equity pickup and entity aggregation.
Its reconciliation anomaly detection combines AI and statistical analysis to flag anomalies with a severity, using detectors and rules that administrators set.
AI features
- AI anomaly detection in Account Reconciliations (AI Insights) Suggests
Full record, with every source
Compare OneStream SensibleAI Agents
OneStream Software vendor
OneStream SensibleAI Agents
Full profile
Close, Reporting and disclosure, Planning and FP&A +1
Built into the platform, Agents and automated actions, General-purpose assistantSuggests and acts
Customer IT, Individual user
Usage-based
None found in the sources read
October 12, 2026
Summary, 5 AI features
OneStream's SensibleAI Agents include a Search Agent, a Finance Analyst agent that queries cube data in natural language and drafts commentary, and a Deep Analysis agent that summarizes large document sets.
Finance Analyst can propose writing commentary into cube cells, with each proposed write shown for review before it is saved.
An Agentic Toolkit and MCP server expose OneStream data and functions to third-party assistants through the same gateway, permissions and logging.
SensibleAI Agents are metered in AI Credits.
AI features
- Finance Analyst agent Suggests and acts
- Agent Memory (Finance Analyst) Suggests
- Search Agent Suggests
- Deep Analysis agent Suggests
- Agentic Toolkit and MCP server Not stated
Full record, with every source
Compare ChatGPT Enterprise
OpenAI Software vendor
ChatGPT Enterprise
Enterprise assistant
General-purpose assistant, Agents and automated actionsSuggests and acts
Customer IT
Per user
None found in the sources read
October 21, 2026
Summary, 2 AI features
ChatGPT Enterprise is OpenAI's enterprise plan for ChatGPT; OpenAI says its ChatGPT Work agent can plan, act across connected apps and files, and produce spreadsheets, slides and documents.
OpenAI says business data is not used for training by default, that admins control how long data is kept, and that deleted conversations are removed within 30 days unless the law requires otherwise.
Admins get SAML single sign-on, SCIM provisioning, custom roles by group and spend controls, and an audit log of conversations and agent activity through the Compliance API.
OpenAI's published pricing, October 2026, prices the plan per user per month on an annual contract, with no Enterprise figure shown and credits sold for additional use.
AI features
- ChatGPT (chat, GPTs, connected apps) Suggests
- ChatGPT Work Acts
Full record, with every source
Compare ChatGPT workspace agents
OpenAI Software vendor
ChatGPT workspace agents
Agent platform, Process automation
Agents and automated actionsSuggests and acts
Customer IT, Individual user
Usage-based
None found in the sources read
October 21, 2026
Summary, 3 AI features, conflicts
Workspace agents are OpenAI's shared, team-built agents in ChatGPT, introduced on April 22, 2026 as an evolution of GPTs, powered by Codex and running in the cloud so they keep working when the user is away.
They can write and run code, use connected apps, run on a schedule, work in Slack and be started through an API.
Write actions in connected apps default to asking the user first, builders can add action constraints, and admins can control who may build, share and use agents and can suspend them.
OpenAI's page calls them generally available in one place and a research preview in another, and said credit-based pricing would start on May 6, 2026.
AI features
- Workspace agent builder Suggests and acts
- Write-action approvals and action constraints Acts
- Schedules, Slack and API triggers Acts
Unclear or conflicting
Availability of workspace agents
Statement A
Announcement lead: workspace agents are now generally available in ChatGPT Business, Enterprise, and Edu.
openai.com/index/introducing-workspace-agents-in-chatgpt/
Statement B
Availability and pricing section of the same page: workspace agents are available in research preview for ChatGPT Business, Enterprise, Edu, and Teachers plans.
openai.com/index/introducing-workspace-agents-in-chatgpt/
Recorded under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Optro (formerly AuditBoard) controls management and autonomous testing with Optro AI
Optro (formerly AuditBoard) Software vendor
Optro (formerly AuditBoard) controls management and autonomous testing with Optro AI
SOX and controls, Audit and internal audit
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 3 AI features, conflicts
Optro, the new name of AuditBoard, sells a governance, risk and compliance platform whose users include finance teams responsible for internal controls and SOX compliance.
Its controls management module uses AI to generate planning narratives and flowcharts and to assist fieldwork from sample selection to tickmarking evidence.
Its autonomous testing product, which Optro says came from its acquisition of Midship, uses AI agents that run attribute tests on uploaded evidence such as user access reviews and reconciliations and assemble Excel workpapers linked to the source.
Optro names in-house machine learning models and Microsoft Azure OpenAI as the technology behind Optro AI.
AI features
- Autonomous testing agents Acts
- AI-assisted fieldwork and planning documentation Suggests
- Intelligent Recommendations Suggests
Unclear or conflicting
Model training and customer feedback
Statement A
No. Optro does not use customer data to train Optro AI or models.
optro.ai/platform/ai
Statement B
We strive for a high level of quality and accuracy and are continuously updating our models based on customer feedback.
optro.ai/platform/ai
Both statements are on the same FAQ; whether customer feedback counts as customer data is not explained. Recorded as unclear under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Oracle Fusion Cloud EPM: Financial Consolidation and Close, Account Reconciliation and Narrative Reporting
Oracle Platform provider
Oracle Fusion Cloud EPM: Financial Consolidation and Close, Account Reconciliation and Narrative Reporting
Full profile
Close, Consolidation, Reconciliation +1
Built into the platform, Established machine learning and rules, Agents and automated actionsSuggests and acts
Vendor, Customer IT, Customer finance team
Published list priceUSD 500
None found in the sources read
October 12, 2026
Summary, 10 AI features
Oracle describes Financial Consolidation and Close as a subscription consolidation and reporting solution on Oracle Cloud, with currency translation, automated cash flow, task management and supplemental schedule data.
Account Reconciliation manages balance sheet and consolidation system reconciliations, and its Transaction Matching is an optional licensed feature.
Oracle describes predictive features embedded in EPM processes, generative features in the EPM interface, and EPM Assistants that customers build as agents in AI Agent Studio from Oracle templates.
EPM Enterprise is listed at US$500.00 per hosted named user per month on Oracle's price list dated October 8, 2026.
AI features
- Transaction Matching Assistance (Account Reconciliation) Suggests
- Reconciliation Assignment Assistance (Account Reconciliation) Suggests
- Consolidation Assistant (Financial Consolidation and Close) Suggests
- Consolidation Job Analytics (Financial Consolidation and Close) Suggests
- IPM Insights summaries (Financial Consolidation and Close) Suggests
- Reporting Agent (Financial Consolidation and Close, Narrative Reporting) Suggests
- Generative AI for Management Reporting Narratives (Narrative Reporting) Suggests
- EPM Assistants for Financial Consolidation and Close Acts
- EPM Assistants for Account Reconciliation Acts
- Narrative Reporting Assistant Suggests and acts
Full record, with every source
Compare Oracle Fusion Cloud ERP: General Ledger close and finance agents
Oracle Platform provider
Oracle Fusion Cloud ERP: General Ledger close and finance agents
Full profile
Close, ERP core, Reconciliation +2
Built into the platform, Agents and automated actionsSuggests and acts
Vendor, Customer IT, Customer finance team
Published list priceUSD 625
None found in the sources read
October 12, 2026
Summary, 3 AI features, conflicts
Oracle's General Ledger Close Monitor shows period close status across General Ledger, Payables, Receivables, Assets, Projects and Costing for related ledgers.
Oracle describes the Ledger Agentic Application as a unified accounting workspace combining conversational inquiry, proactive financial monitoring and accounting reasoning.
Under an uploaded Accounting Exceptions Policy, it categorizes exceptions as eligible for automatic resolution or team review.
Fusion ERP Cloud Service is listed at US$625.00 per hosted named user per month on Oracle's price list dated October 8, 2026.
AI features
- Ledger Agentic Application Suggests and acts
- Payables Period Close Workspace Acts
- Cash Processing Agent for bank statement reconciliation Suggests and acts
Unclear or conflicting
Cash Processing Agent: enabled by default or setup required
Statement A
Financials What's New 26D feature page: the Cash Processing Agent for bank statement reconciliation is enabled by default, subject to security configuration.
docs.oracle.com/en/cloud/saas/readiness/erp/26d/fins26d/index.html
26D-fin-wn-f51246.htm (feature page)
Statement B
Financials What's New 26D feature summary: lists the Cash Processing Agent with action to enable Setup Required, in the group the legend defines as not delivered enabled.
docs.oracle.com/en/cloud/saas/readiness/erp/26d/fins26d/index.html
26D-fin-wn-t78734.htm (feature summary)
Both statements are in the same Oracle release document (base URL given), on different pages; the locator names each page.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Oracle Fusion Cloud Recruiting and Recruiting Booster (AI ratings, application insights and agents)
Oracle Platform provider
Oracle Fusion Cloud Recruiting and Recruiting Booster (AI ratings, application insights and agents)
Recruiting and sourcing, Screening and ranking, Interviewing +1
Built into the platform, Agents and automated actionsSuggests and acts
Customer HR team
Published list priceUSD 8
None found in the sources read
October 21, 2026
Summary, 5 AI features
Oracle's documentation describes Job Application AI Rating, which uses generative AI to rate how well a candidate's education, experience, skills and profile match a requisition on a scale of 0 to 5.
Since update 26C the AI Overview writes a summary of each new application that opens with an overall fit assessment and flags concerns such as employment gaps, and a candidate selection process can launch AI agents automatically at a chosen stage.
Oracle announced Career Coach in October 2025 as a planned agentic capability that builds candidate talent profiles, recommends jobs and runs qualification screenings and mock interviews.
Oracle's price list dated October 8, 2026 sets Fusion Recruiting at $8.00 and Recruiting Booster at $3.00 per hosted employee per month.
AI features
- Job Application AI Rating Suggests
- Job Application AI Overview Suggests
- Workflow agents launched from the candidate selection process Acts
- Oracle Career Coach Suggests and acts
- Generative job descriptions and AI candidate recommendations Suggests
Full record, with every source
Compare Oracle NetSuite (financials, Intelligent Close Manager and AI features)
Oracle Platform provider
Oracle NetSuite (financials, Intelligent Close Manager and AI features)
ERP core, Close, Reconciliation +1
Built into the platform, Established machine learning and rules, General-purpose assistantSuggests
Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features
NetSuite is Oracle's unified cloud suite for financials and other business functions, which Oracle's 10-K says is generally marketed to small and medium-sized organizations.
Its Intelligent Close Manager gathers close tasks, transaction amounts and exceptions in one portlet, ranks tasks with AI and generates AI summaries of close progress and A/R and A/P activity.
NetSuite's help center lists further generative AI features, including narrative insights, AI-enriched bank data for transaction matching and a Transaction Matching Assistant for eligible customers, and machine learning for exception management.
AI features consume AI Units, a pooled allowance included with user licenses that expires at the end of the term.
AI features
- Intelligent Close Manager (AI task prioritization and close insights) Suggests
- Transaction Matching Assistant and Enriched Bank Data Not stated
- Exception Management Suggests
- Audit Summarization Suggests
Full record, with every source
Compare Phenom recruiting AI (Fit Score, X+ Screening, assessments and Interview Intelligence)
Phenom Software vendor
Phenom recruiting AI (Fit Score, X+ Screening, assessments and Interview Intelligence)
Recruiting and sourcing, Screening and ranking, Assessment and testing +1
Built into the platform, Agents and automated actionsSuggests and acts
Customer HR team
Quote only
None found in the sources read
October 21, 2026
Summary, 4 AI features, conflicts
Phenom describes Fit Score as AI that ranks candidates as they enter the pipeline against the skills, experience, title and location requirements a customer sets, and shows the factors behind each rating.
Its X+ Screening evaluates applicants through knock-out and scored text questions, voice or video answers and timed case studies, and its Interview Intelligence transcribes interviews with consent and drafts summaries for the interviewer to review.
Phenom says humans make every hiring decision and that it never trains its AI on demographic or biometric data.
Its own pages date the Fit Score adverse-impact audit to both 2025 and 2026, and none names the auditor.
AI features
- Fit Score Suggests
- X+ Screening Suggests and acts
- AI assessments Suggests
- Interview Intelligence Suggests
Unclear or conflicting
Year of the Fit Score audit
Statement A
AI ethics page: "Phenom Fit Score 2025 Audit Results" and "The 2025 Phenom Fit Score audit confirmed three things".
phenom.com/ai-ethics
Phenom Fit Score 2025 Audit Results; FAQ
Statement B
Fit Score page: "The 2026 Phenom Fit Score audit independently confirmed it is valid, reliable, and fair with no adverse impact detected"; the same page features a "Phenom Fit Score: 2025 Report", and the linked report page is titled "Phenom Fit Score: 2026 Report".
phenom.com/fit-score
FAQ on bias; Featured Resources
Recorded under D-143; which audit is current, and its data dates, are questions for Phenom.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Pigment business planning platform and Pigment AI
Pigment Software vendor
Pigment business planning platform and Pigment AI
Planning and FP&A, Consolidation
Built into the platform, Agents and automated actions, Established machine learning and rules, General-purpose assistantSuggests and acts
Vendor, Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 6 AI features, conflicts
Pigment describes a business planning platform for FP&A, financial consolidation and workforce planning, aimed at mid-market and large enterprises.
Its AI is a network of specialized agents that it calls autonomous yet collaborative, with an Analyst Agent that scans metrics and builds reports and a Modeler Agent that creates and evolves models from a natural-language description.
Pigment also offers custom agents, machine learning Predictions for forecasts, and an MCP Server through which external AI tools can query data and build in customer models.
AI features
- Analyst Agent Suggests
- Modeler Agent Acts
- Planner Agent Suggests and acts
- Custom Agents Not stated
- Predictions Suggests
- Pigment MCP Server and Agent Connectors Acts
Unclear or conflicting
Planner Agent availability
Statement A
The Planner Agent block on the AI page is labeled "Coming soon…".
pigment.com/ai
The Planner Agent block
Statement B
The FAQ on the same page lists the Planner Agent among Pigment's agents without a status label and describes it as autonomously maintaining and updating models in real time.
pigment.com/ai
FAQ What are AI agents?
Pigment's company information page also lists the Planner Agent as "(Coming Soon)". Whether the Planner Agent is available is not resolved here.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Training on customer data
Statement A
FAQ: Pigment's models are trained on contextual information and business planning best practices, and its LLMs do not train on or store any customer information.
pigment.com/ai
FAQ Do you use customer data to train Pigment's agents?
Statement B
FAQ on accuracy: Pigment's agents are natively embedded in the platform, trained on your business data, and adapt over time as decisions are made.
pigment.com/ai
FAQ How will Pigment guarantee the accuracy…?
The two statements read differently; what "trained on your business data" means is not stated. The security page says customer data is never used to train foundation models (C-3624).
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Planful financial performance management platform with Planful AI
Planful Software vendor
Planful financial performance management platform with Planful AI
Planning and FP&A, Close, Consolidation +1
Built into the platform, Established machine learning and rules, General-purpose assistantSuggests
Vendor, Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features, conflicts
Planful describes one financial performance management platform for planning, close, consolidation and reporting.
Planful AI is a suite of assistants: Planner, Analyst, Help, Projections for machine learning forecast baselines, and Signals for anomaly detection, plus an MCP Server.
Planful says OpenAI supports language understanding while calculations, forecasting and anomaly detection run on its own models.
Its MCP Server is read-only by design, and Planner's write-back to the planning structure is described as a future capability.
AI features
- Analyst Suggests
- Planner Suggests
- Projections Suggests
- Signals Suggests
- Planful MCP Server Suggests
Unclear or conflicting
Training on customer data
Statement A
The AI page opens: "Trained on your data and tuned to your role, it improves with every interaction."
planful.com/ai/
Hero
Statement B
The page's FAQ answers "No. Your data is never used to train AI models."
planful.com/ai/
FAQ Is my organization's data used to train Planful's AI models?
Both statements are on the same page; what "trained on your data" refers to is not stated.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Prophix One (FP&A, close and consolidation) with Prophix One Intelligence
Prophix Software vendor
Prophix One (FP&A, close and consolidation) with Prophix One Intelligence
Planning and FP&A, Close, Consolidation +2
Built into the platform, General-purpose assistant, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 8 AI features
Prophix One is a performance management platform for planning, close and consolidation, sold to mid-market finance teams.
Prophix lists seven Intelligent Teammates, including agents for budgeting, reporting, planning, consolidation and reconciliation, and says two of them, the Budgeting Agent and the Reporting Agent, are currently available.
A post dated September 15, 2026 introduced an Autonomous Planning Agent that runs scheduled planning tasks with human checkpoints, Copilot for Microsoft Office, Cash Management bank integrations and an MCP Server.
Through the MCP Server, outside AI tools such as Claude and ChatGPT can connect to live Prophix data, and Prophix says those queries then pass to the external LLM under that provider's security policies.
AI features
- Budgeting Agent Suggests and acts
- Reporting Agent Suggests
- Consolidation Agent and Reconciliation Agent Suggests
- Architect Agent Not stated
- Autonomous Planning Agent Acts
- Prophix Copilot Suggests
- Prophix One MCP Server Suggests
- Cash Management bank transaction classification Acts
Full record, with every source
Compare Protiviti Atlas
Protiviti Professional services firm
Protiviti Atlas
SOX and controls, Audit and internal audit
General-purpose assistantNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features
Protiviti calls Atlas its proprietary, patent-pending enterprise AI platform for embedding generative AI across client engagements and internal operations.
It lists uses that include supporting control descriptions, aggregating control testing evidence from invoices, contracts and leases, categorizing risks and generating process flows from walkthroughs.
Robert Half's 2025 Form 10-K confirms the patent application for Atlas and describes Protiviti as a wholly owned consulting and internal audit subsidiary.
AI features
- Control documentation and evidence tools Not stated
- Protiviti GPT Not stated
Full record, with every source
Compare PwC finance and accounting managed services
PwC (PricewaterhouseCoopers LLP, US) Professional services firm
PwC finance and accounting managed services
Audit firm
Close, Reconciliation, Reporting and disclosure +4
Not statedNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 0 AI features
PwC describes finance managed services that range from AI-powered planning and analysis hubs to end-to-end controllership and treasury support, with AI embedded in operations and US-led teams backed by global centers.
Its controllership services cover general accounting, period-end close, reconciliations, financial reporting and compliance, with embedded controls, workflow automation and AI-enabled monitoring.
PwC calls the services outcome-based, aligned to business impact rather than hours worked.
AI features
Not stated
Full record, with every source
Compare PwC's agent OS
PwC (PricewaterhouseCoopers LLP, US) Professional services firm
PwC's agent OS
Audit firm
Not stated
Agents and automated actionsActs
Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features
PwC describes agent OS as a unified platform to orchestrate multiple AI agents, including agents from different vendors, into workflows with oversight built in, and lists transforming the finance function among its uses.
It lists Anthropic, AWS, Google Cloud, Microsoft Azure, OpenAI, Oracle, SAP, Workday and others as platforms and enterprise systems agent OS works across.
Its update log says agent OS supports OpenAI's GPT-5 and that Anthropic's Claude Haiku 4.5 is available within agent OS via Amazon Bedrock.
PwC says its orchestration enables agents to act within workflows, and describes drag-and-drop building, a three-tier role model, Model Context Protocol access to enterprise tools, and session tracking with human-in-the-loop feedback.
AI features
- Agent orchestration Acts
- Governance dashboard Not stated
Full record, with every source
Compare Ramp spend management (cards, expense, accounts payable, procurement) with Ramp Intelligence
Ramp Software vendor
Ramp spend management (cards, expense, accounts payable, procurement) with Ramp Intelligence
Expense, Accounts payable, Spend and procurement
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Vendor, Customer finance team
Published list priceUSD 15
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Ramp sells corporate cards with expense, accounts payable and procurement software, and describes Ramp Intelligence as an AI layer across all its products, with agents trained on each customer's policies and data.
Ramp says its agent handles low-risk and routine approvals, flags risky transactions, can submit card payments on vendor portals and rebooks hotels when prices drop by $50 or more, while its FAQ says no money moves without a human confirmation.
In Ramp's published pricing, October 2026, AI-driven approval recommendations, auto-coded line items and automated approval of routine spend are listed in the $15-per-user Plus plan, which also carries a platform fee.
AI features
- Ramp agent: expense approvals Acts
- Ramp agent: AP coding and card payments Acts
- Fraud checks and three-way match Suggests
- Ramp agent: hotel price monitoring and rebooking Acts
Unclear or conflicting
Whether Ramp agents can approve and pay without a person
Statement A
Intelligence page: let the agent handle low-risk and routine approvals; risky or ambiguous transactions are flagged.
ramp.com/intelligence
Approves when it's safe. Escalates when it's not.
Statement B
Same page, FAQ: no money ever moves without a human confirmation.
ramp.com/intelligence
FAQ: Can I trust AI with my finances?
The same page also says the agent can submit card payments for the customer and rebook hotels at lower rates (C-3431). Which actions require a person, and at what point, is not stated.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare RSM Catamaran finance and accounting managed services
RSM US LLP Professional services firm
RSM Catamaran finance and accounting managed services
Audit firm
Close, Planning and FP&A, Tax
Not statedNot stated
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 0 AI features
RSM describes RSM Catamaran as designed for finance, accounting and tax challenges such as month-end close, budgeting and forecasting, unintegrated systems and staff turnover, offering staff augmentation, outsourcing and managed planning and analysis that can interface with any ERP.
RSM says finance as a service gives clients AI-enabled technology for strategic insights for a predictable fee.
AI features
Not stated
Full record, with every source
Compare Sage Intacct (core financials, close automation and AI agents)
Sage Platform provider
Sage Intacct (core financials, close automation and AI agents)
ERP core, Close, Reconciliation +2
Built into the platform, Established machine learning and rules, General-purpose assistantSuggests
Individual user
Quote only
None found in the sources read
October 12, 2026
Summary, 5 AI features, conflicts
Sage Intacct is Sage's cloud financial management system for scaling and mid-sized organizations, priced by the modules included.
Its help center describes Close Automation, a set of AI tools for close status tracking, subledger reconciliation and variance analysis with generative AI explanations, and AP Automation, which creates draft bills from bill documents users email or upload.
GL Outlier Detection is a machine learning service, included in the subscription, that flags journal entries in the approval cycle that depart from the company's historical patterns, leaving the decision to the approver.
Sage's marketing page names a Close agent and a Financial Assurance agent; its help center names Close Automation and GL Outlier Detection, and neither source says whether they are the same.
AI features
- GL Outlier Detection Suggests
- Close Automation Suggests
- AP Automation Suggests
- Close agent and Financial Assurance agent (marketing page) Suggests
- Finance Intelligence Agent Suggests
Unclear or conflicting
Names of the close and assurance AI features
Statement A
Marketing page: 'Close agent' and 'Financial Assurance agent' (which flags unusual journal entries in real time).
sage.com/en-us/sage-business-cloud/intacct/
Statement B
Help Center (last modified Oct 08, 2026): 'Close Automation' (Close Assistant, Subledger Reconciliation Assistant, Variance Analysis, Close Workspace) and 'GL Outlier Detection', which flags entries 'in the approval cycle'; no feature named Financial Assurance agent.
intacct.com/ia/docs/en_US/help_action/Copilot/get-to-know-sage-ai.htm
Neither source says whether the marketing agents and the help center features are the same capabilities. The marketing page says the Financial Assurance agent scans every entry 'as you post'; the help center places GL Outlier Detection in the approval cycle. The marketing page also uses both 'Financial Intelligence agent' and 'Finance Intelligence agent'. Recorded under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Whether Sage AI automates the close or assists with it
Statement A
Sage Ai page: 'Let Sage Copilot automate your month-end close … Available in Sage Intacct core financials.'
sage.com/en-us/sage-ai/
Statement B
Help Center: Close Automation 'Streamlines and accelerates the month-end close by tracking tasks, flagging issues, and guiding teams through each step'.
intacct.com/ia/docs/en_US/help_action/Copilot/get-to-know-sage-ai.htm
The help center does not describe Close Automation completing close steps on its own; whether the marketing statement refers to Close Automation is not stated. Recorded under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Agentforce
Salesforce Software vendor
Agentforce
Agent platform, Process automation
Agents and automated actions, Built into the platformActs
Customer IT
Usage-based
None found in the sources read
October 21, 2026
Summary, 3 AI features, conflicts
Agentforce is Salesforce's platform for building and running AI agents, which Salesforce describes as autonomous applications that reason through next steps, act within set guardrails and hand complex issues to people.
Salesforce's 10-K says the Agentforce 360 Platform lets companies build workflows, applications and agents with no-code and low-code tools, with its Trust Layer built in.
Agents are built in Agent Builder on Salesforce tools such as Flows, MuleSoft connectors and Apex, and come prebuilt for sales, service and HR tasks.
Salesforce's published pricing, October 2026, is by consumption, through Flex Credits per action or per conversation, or per user, under pre-purchase, pre-commit or pay-as-you-go terms.
AI features
- Agentforce agents and subagents Acts
- Agent Builder and testing Not stated
- Einstein Trust Layer Not stated
Unclear or conflicting
Whether data masking applies to agents
Statement A
Trusted AI page: data masking replaces sensitive PII or proprietary business data with non-identifiable tokens before the prompt is sent to the LLM.
salesforce.com/artificial-intelligence/trusted-ai/
Statement B
Trailhead unit Meet the Einstein Trust Layer: data masking for LLMs is currently disabled for agents; it is available for embedded generative AI features.
trailhead.salesforce.com/content/learn/modules/the-einstein-trust-layer/meet-the-einstein-trust-layer
Recorded under D-143; not resolved. The Trusted AI page describes masking in general and does not mention agents; the Trailhead unit excludes agents.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Group reporting in SAP S/4HANA Cloud Public Edition
SAP Platform provider
Group reporting in SAP S/4HANA Cloud Public Edition
Full profile
Consolidation, Reporting and disclosure, Close
Built into the platform, Established machine learning and rulesSuggests
Customer IT
Not stated
None found in the sources read
October 12, 2026
Summary, 1 AI features
SAP describes group reporting in SAP S/4HANA Cloud Public Edition as supporting the computation, creation and disclosure of consolidated reports.
Data from consolidation units is read from the universal journal or uploaded, standardized in the Data Monitor and consolidated in the Consolidation Monitor, which runs interunit eliminations and validation.
Intercompany matching and reconciliation run on rules the customer defines.
AI-assisted analytical business insights generate an analysis and natural-language summary of review booklet data.
AI features
- AI-assisted analytical business insights Suggests
Full record, with every source
Compare SAP Advanced Financial Closing
SAP Platform provider
SAP Advanced Financial Closing
Full profile
Close, SOX and controls
Not statedNot stated
Not stated
Published list priceUSD 4957
None found in the sources read
October 12, 2026
Summary, 0 AI features
SAP's user guide describes Advanced Financial Closing as supporting the planning, processing, monitoring and analysis of closing tasks for the entities of a group.
Its Process Closing Tasks app processes, schedules or automates tasks and logs all actions to provide an audit trail, and tasks can be subject to dual control.
SAP lists the product at USD 4,957.00 per month for each block of 25 Objects in its published pricing, October 2026.
AI features
Not stated
Full record, with every source
Compare SAP Concur travel, expense and invoice with Joule agents
SAP Platform provider
SAP Concur travel, expense and invoice with Joule agents
Expense, Accounts payable
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor, Individual user
Usage-basedUSD 7
None found in the sources read
October 12, 2026
Summary, 5 AI features, conflicts
SAP Concur sells travel, expense and invoice software and says it uses generative and agentic AI to automate routine tasks and support policy compliance.
Its agents include a Receipt Analysis Agent that infers missing receipt details, an Expense Report Validation Agent that guides employees to fix errors before submission, an Expense Automation Agent and natural-language audit rule configuration.
Joule comes in a Base tier that must be activated and a Premium tier that adds the validation and automation agents, while Concur Expense is listed from $7 per report in SAP Concur's published pricing, October 2026.
AI features
- Receipt Analysis Agent Acts
- Expense Report Validation Agent Suggests
- Expense Automation Agent Acts
- Audit Rule Configuration Suggests
- Booking Agent, Trip Changes and Policy Navigator Suggests and acts
Unclear or conflicting
Age of SAP Concur's travel and expense data
Statement A
AI page: access to nearly 30 years of T&E data.
concur.com/solutions/artificial-intelligence
SAP Concur's AI advantage
Statement B
Joule page: built on 30+ years of trusted travel and expense data.
concur.com/products/joule
See how we're pioneering T&E management; See how our agentic AI is redefining T&E
The two pages state the data history differently; neither gives a start date.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare SAP Joule and finance agents for the close and consolidation
SAP Platform provider
SAP Joule and finance agents for the close and consolidation
Full profile
Close, Consolidation, Reconciliation +3
Built into the platform, Agents and automated actions, General-purpose assistantSuggests and acts
Vendor, Customer IT, Individual user
Quote only
None found in the sources read
October 12, 2026
Summary, 9 AI features
SAP describes Joule as its AI user experience layer and Joule Agents as AI systems that autonomously plan and execute workflows.
Its Finance Agents release notes list close and consolidation agents, each with the lifecycle status Restricted Availability.
The Accounting Accruals Agent reads accounting policy from an uploaded handbook and generates accrual proposals that users post, modify or delete.
The Financial Consolidation Data Submission Agent runs data collection tasks and resolves errors after the user confirms.
AI features
- Financial Closing Orchestration Agent Suggests and acts
- Accounting Accruals Agent Suggests
- Journal Entry Agent Suggests
- Receivables and Payables Clearing Agent Suggests
- Financial Consistency Analysis Agent Suggests and acts
- Asset Accounting Anomaly Detection Agent Suggests
- Financial Consolidation Orchestration Agent Acts
- Financial Consolidation Data Submission Agent Acts
- Joule Suggests and acts
Full record, with every source
Compare SAP SuccessFactors Recruiting and SmartRecruiters for SAP SuccessFactors (Winston AI and Joule agents)
SAP Platform provider
SAP SuccessFactors Recruiting and SmartRecruiters for SAP SuccessFactors (Winston AI and Joule agents)
Recruiting and sourcing, Screening and ranking, Interviewing
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer HR team
Quote only
None found in the sources read
October 21, 2026
Summary, 5 AI features
SAP completed its acquisition of SmartRecruiters in September 2025 and is integrating its recruiting platform with the SAP SuccessFactors HCM suite.
SAP's 2H 2026 release describes SmartRecruiters for SAP SuccessFactors features that screen and score applicants (Winston Screen and Winston Match), book interviews, run conversational screening interviews and post interview summaries to candidate profiles.
Winston Match scores every candidate against the job from work history, skills, seniority and education, with an explanation and a label running from Strongly recommended to Poor match.
SAP also describes SuccessFactors AI that extracts skills from applicant data and matches applicants to roles, and a Joule Recruiting Agent that matches candidates and schedules interviews.
AI features
- Winston Match (AI talent matching) Suggests
- Winston Screen (AI candidate screening) Suggests and acts
- Winston Companion, Winston Interview and Interview Summary Agent Acts
- SuccessFactors AI applicant matching Suggests
- Joule Recruiting Agent Suggests and acts
Full record, with every source
Compare ServiceNow AI Agents
ServiceNow Software vendor
ServiceNow AI Agents
Agent platform, Process automation
Agents and automated actions, Built into the platformActs
Customer IT
Not stated
None found in the sources read
October 21, 2026
Summary, 3 AI features
ServiceNow describes its AI agents as acting autonomously across IT, customer service, HR and other functions, either out of the box or built in natural language in AI Agent Studio.
Its AI Agent Orchestrator coordinates teams of agents, and Action Fabric connects third-party agents through the Agent2Agent protocol and a Model Context Protocol client, governed from what the page calls ServiceNow Super Intelligence Control Tower.
Each agent runs under a set identity, either the invoking user or a dedicated AI user, with access control lists and role filtering limiting who can invoke it and what it can reach.
ServiceNow uses customer data sharing to improve its Now LLMs, and customers can opt out in the Now Assist Admin console.
AI features
- AI agents and AI Agent Studio Acts
- AI Agent Orchestrator and Action Fabric Acts
- Now Assist Suggests and acts
Full record, with every source
Compare Sovos Agentic Tax Compliance Platform with Sovi AI
Sovos Software vendor
Sovos Agentic Tax Compliance Platform with Sovi AI
Tax
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Vendor
Not stated
None found in the sources read
October 12, 2026
Summary, 6 AI features, conflicts
Sovos sells e-invoicing, indirect tax and information reporting software on what it calls its Agentic Tax Compliance Platform, with Sovi AI embedded across it.
Sovos's Sovi AI page describes Ask Sovi as diagnosing issues and fixing them with the user's approval, while its March 24, 2026 release describes Ask Sovi as answering regulatory questions and says Sovos plans to extend it into guided, human-approved actions.
Its AI Terms bar Sovos and third parties from training AI models on customer data and leave the customer responsible for evaluating outputs.
AI features
- Ask Sovi Not stated
- Problem-to-Resolution Guidance Acts
- Product Tax Code Mapping Acts
- Fraud detection Suggests
- Sovi Agent Studio Not stated
- Sovos MCP Gateway Not stated
Unclear or conflicting
Whether Ask Sovi can already execute fixes
Statement A
Sovi AI page: Ask Sovi diagnoses issues, explains what went wrong and fixes them with the user's approval (present tense).
sovos.com/compliance-cloud/sovi-ai/
The Power of Sovi AI in Sovos Solutions
Statement B
March 24, 2026 release: Ask Sovi answers regulatory questions, and over time Sovos plans to extend it into guided, human-approved actions.
sovos.com/press-releases/sovos-expands-sovi-ai/
body (Ask Sovi)
The same release lists "executes corrections once approved" among "current and planned" capabilities without saying which are current (C-3953).
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Annual transaction volume (home page versus March 2026 release)
Statement A
Home page: 90B+ transactions processed last fiscal year.
sovos.com/
The backbone for global tax compliance (figures)
Statement B
March 24, 2026 release: Sovos processes nearly 20 billion transactions per year.
sovos.com/press-releases/sovos-expands-sovi-ai/
About Sovos
A third figure appears in the October 1, 2026 release (more than 70 billion per year, C-3961).
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Annual transaction volume (March 2026 release versus October 2026 release)
Statement A
March 24, 2026 release: nearly 20 billion transactions per year.
sovos.com/press-releases/sovos-expands-sovi-ai/
About Sovos
Statement B
October 1, 2026 release: more than 70 billion transactions per year.
sovos.com/press-releases/sovos-acquires-flowie-launching-the-industrys-first-agentic-compliant-finance-orchestration-platform/
About Sovos
None of the three sources defines a transaction or the period measured.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Sovos Finance Orchestration Agents
Sovos Software vendor
Sovos Finance Orchestration Agents
Accounts payable, Receivables and collections, Treasury and cash +3
Agents and automated actionsActs
Not stated
Quote only
None found in the sources read
October 12, 2026
Summary, 4 AI features
Sovos describes Finance Orchestration Agents as a portfolio of 50+ autonomous AI agents that run finance and procurement work on top of existing systems, from procurement and AP to AR, treasury and the close.
Sovos says the agents act rather than advise, generating purchase orders, routing approvals and executing payments, with exceptions left to the team.
Sovos announced its acquisition of Flowie on October 1, 2026, and the release says Flowie's agents are immediately available to all Sovos customers.
AI features
- Finance Orchestration Agents (Buy, Sell, Finance, Networking) Acts
- Three-way invoice matching Acts
- AI cash application and collections Acts
- Flowie core agents Acts
Full record, with every source
Compare CoCounsel Tax for corporate tax departments
Thomson Reuters Software vendor
CoCounsel Tax for corporate tax departments
Tax
General-purpose assistantSuggests
Individual user
Quote only
None found in the sources read
October 12, 2026
Summary, 3 AI features
Thomson Reuters describes CoCounsel Tax as cited, audit-ready analysis for in-house tax teams, grounded in its Checkpoint content, in one workspace that brings Checkpoint, SharePoint and internal systems together.
It lists cited research answers, analysis of uploaded documents, guided templates for multistep tasks and memo drafting.
Its 2025 annual report describes CoCounsel for Tax & Audit, a product name the CoCounsel Tax page does not use, as a generative AI platform using large language models.
Thomson Reuters states that uploaded documents are never used to train its AI models.
AI features
- Cited tax research Suggests
- Document analysis Suggests
- Guided templates and drafting Suggests
Full record, with every source
Compare Thomson Reuters ONESOURCE
Thomson Reuters Software vendor
Thomson Reuters ONESOURCE
Tax, Reporting and disclosure
Built into the platformSuggests
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 2 AI features
Thomson Reuters describes ONESOURCE as end-to-end cloud software for tax, trade and financial reporting, covering indirect tax and e-invoicing, provision, income tax compliance, statutory reporting and information reporting.
It says ONESOURCE is used by companies from small businesses to multinationals, with over 100,000 users across 21,000 businesses.
Its 2025 annual report says the corporate strategy is built around ONESOURCE+, combining proprietary content with AI-driven workflow software including CoCounsel AI and agentic technology.
AI features
- AI-assisted regulatory research Suggests
- ONESOURCE+ with CoCounsel AI and agentic technology Not stated
Full record, with every source
Compare Tipalti Accounts Payable with Tipalti AI (agents and AI Assistant)
Tipalti Software vendor
Tipalti Accounts Payable with Tipalti AI (agents and AI Assistant)
Accounts payable, Expense, Spend and procurement
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Vendor
Quote onlyUSD 99
None found in the sources read
October 12, 2026
Summary, 6 AI features
Tipalti sells accounts payable automation with Tipalti AI, which powers a conversational AI Assistant and AI agents across payables, payouts, procurement, expenses, supplier management and tax compliance.
Its named agents capture and code invoices, recommend approvers, match bills to purchase orders, scan W-9 forms and receipts, resolve ERP sync issues and flag duplicate bills.
Tipalti says its AI may use third-party model families, including OpenAI, Anthropic, Amazon, Meta and Google, and that it does not use customer data to train third-party models.
AI features
- Invoice Capture Agent Acts
- Bill Approvers Agent Suggests
- PO Matching Agent Acts
- Duplicate Bill Detection Agent Suggests
- Tax Form Scan, Expense Receipt Scan, ERP Sync Resolution, Reporting and Purchase Request agents Suggests and acts
- Tipalti AI Assistant Suggests
Full record, with every source
Compare Trintech Adra
Trintech Software vendor
Trintech Adra
Full profile
Close, Reconciliation
Built into the platformSuggests
Individual user, Customer finance team
Quote only
None found in the sources read
October 12, 2026
Summary, 2 AI features
Trintech describes Adra as automating reconciliations, transaction matching, close task management and journal entry with AI-assisted workflows, through Adra Matcher, Balancer, Task Manager, Analytics and Journal Entry.
It lists AI-assisted matching rules, variance analysis, task checklists, library onboarding and data import, plus Adra Assistant for user guidance.
Trintech says users can review, adjust, accept or reject AI-assisted outputs and that AI-assisted actions are logged in the audit trail.
AI features
- Adra AI capabilities Suggests
- Adra Assistant Suggests
Full record, with every source
Compare Trintech AI agents (Flux, Variance Analysis, Accruals Intelligence, Exception Management, Data Access)
Trintech Software vendor
Trintech AI agents (Flux, Variance Analysis, Accruals Intelligence, Exception Management, Data Access)
Full profile
Close, Reconciliation, Planning and FP&A +1
Built into the platform, Agents and automated actionsSuggests and acts
Customer finance team
Quote only
None found in the sources read
October 12, 2026
Summary, 5 AI features
Trintech announced its Flux Agent and Variance Analysis Agent on June 25, 2026 and described them as available.
On September 28, 2026 it unveiled a Data Access Agent, an Accruals Intelligence Agent and an Exception Management Agent.
Trintech describes the agents as a shift from AI that surfaces insights to AI that executes the work itself, within existing controls, approvals and audit trails.
AI features
- Flux Agent Suggests
- Variance Analysis Agent Suggests
- Accruals Intelligence Agent Suggests
- Exception Management Agent Suggests and acts
- Data Access Agent Acts
Full record, with every source
Compare Trintech Cadency with Beacon
Trintech Software vendor
Trintech Cadency with Beacon
Full profile
Close, Reconciliation, SOX and controls
Built into the platform, Established machine learning and rulesSuggests and acts
Customer finance team, Vendor
Quote only
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Trintech presents Cadency as a financial close platform for large enterprises covering balance sheet reconciliations, transaction matching, close management, journal entry, governance, risk and compliance, and intercompany accounting.
It describes Beacon as an LLM-powered assistant embedded in Cadency for journal preparation, navigation, document analysis and questions about the customer's data.
Cadency Journal Entry uses machine learning to rate the risk of each journal entry against predefined criteria.
AI features
- Beacon Suggests and acts
- Beacon Journal Entry Agent Suggests
- Beacon Match Rule Agent Suggests
- Cadency Journal Entry Risk Rating Engine Suggests
Unclear or conflicting
Vendor outcome figure for journal entry time savings
Statement A
Cadency page shows a 75% reduction in time preparing and reviewing journal entries.
trintech.com/cadency/
Innovative Financial Close Platform with Proven ROI section
Statement B
Cadency Journal Entry page says organizations see up to a 40% reduction in time preparing and reviewing journal entries.
trintech.com/cadency/journal-entry/
Strong, Accurate and Readily Accessible Documentation of Your Enterprise's Financial Performance
Both are vendor-stated; neither states a population, baseline or method.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Where Beacon processes data
Statement A
Beacon brochure: Your data stays in your system with no risky transfers.
go.trintech.com/rs/187-JVG-370/images/WC-TT-PS-Trintech-Beacon-25.pdf
page 2, Key Benefits (Safe and secure AI)
Statement B
Sub-processor list (August 2026) names Microsoft Azure for Beacon's model-related functionality and OpenAI as failover, each located in the United States, while Cadency is hosted in the US, UK, Germany and Australia (C-2254).
go.trintech.com/rs/187-JVG-370/images/List%20of%20subprocessors_August%202026.pdf?version=0
section 2, Service-specific Sub-processors table
Unclear rather than contradictory; where Beacon processes prompts and data is a question for Trintech.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Vena planning platform with Vena AI
Vena Solutions Software vendor
Vena planning platform with Vena AI
Planning and FP&A, Finance data and analytics
Built into the platform, General-purpose assistantNot stated
Vendor, Customer finance team, Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 6 AI features, conflicts
Vena describes Vena AI as agentic, generative AI for FP&A that answers natural-language requests and delegates each one to an agent.
Its agents include a Planning Agent that generates budgets and forecasts in Excel, a Reporting Agent, an Analytics Agent in open beta and a Scenario Agent labeled coming soon.
Vena AI runs on Microsoft Azure with OpenAI models, inherits existing Vena permissions, and gives administrators a view of all questions and responses.
Vena MCP gives supported external AI tools read access to general ledger, transaction and operational data held in Vena.
AI features
- Vena AI orchestration Suggests
- Planning Agent Not stated
- Reporting Agent Suggests
- Vena Analytics Agent Suggests
- Scenario Agent Not stated
- Vena MCP Suggests
Unclear or conflicting
Whether Vena AI is included or an add-on
Statement A
Vena's pricing page lists Vena AI in the Professional plan.
venasolutions.com/resources/pricing
Professional plan card
Statement B
The site navigation on the Vena AI page lists Vena AI for FP&A under Add-on Products.
venasolutions.com/vena-ai
Footer, Add-on Products
Whether Vena AI is included in a plan, sold as an add-on, or both depending on plan is not stated.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Vertex Cloud indirect tax platform with Vertex AI agents
Vertex Software vendor
Vertex Cloud indirect tax platform with Vertex AI agents
Tax
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Not stated
Not stated
None found in the sources read
October 12, 2026
Summary, 6 AI features
Vertex sells indirect tax software, and its Form 10-K for 2025 says it derives a substantial portion of its revenue from subscriptions to its indirect tax software and that its customers include the majority of the Fortune 500.
Vertex says AI-powered automation inside the Vertex Cloud platform supports tax determination, e-invoicing, compliance reporting and file-and-pay workflows.
Its AI page names configuration, product mapping, ERP and workflow, and text-to-tax agents.
The 10-K also records the purchase of tax AI capabilities from Ryan, LLC in 2024 and a minority investment in Kintsugi in 2025.
AI features
- Configuration agent Suggests
- Product mapping agent Not stated
- ERP and Workflow agents Not stated
- Text-to-tax agent Not stated
- Intelligent assistance Suggests
- Smart Categorization Not stated
Full record, with every source
Compare Wipro AI & Gen AI Finance Studio
Wipro Professional services firm
Wipro AI & Gen AI Finance Studio
Reporting and disclosure, Planning and FP&A, Finance data and analytics
General-purpose assistant, Agents and automated actionsSuggests and acts
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Wipro describes its AI & Gen AI Finance Studio as positioning AI as a co-worker in the CFO's office.
Generative AI uses it lists include answering internal and external queries, extracting and classifying information from contracts and policies, ad hoc database search, and writing commentary on earnings calls, board reports, variance analysis and cash flow statements.
Wipro says its generative AI offerings are governed by the WeGA framework, with responsible AI controls and guardrails such as fine-tuning, hallucination reduction and query rephrasing.
The page also presents AI agents as teammates that take action.
AI features
- Generative AI commentary drafting Suggests
- Document extraction and classification Suggests
- Query response generation Not stated
- AI agents Acts
Unclear or conflicting
WeGA / WEGA description
Statement A
Finance Studio page: "Our GenAI offerings are governed by the WeGA framework, offering responsible AI controls and guardrails"
wipro.com/business-process/finance-and-accounting/ai-gen-ai-finance-studio/
Statement B
Form 20-F for fiscal 2026: "Build AI, powered by WEGA, our agentic platform for all build & transform"
sec.gov/Archives/edgar/data/1123799/000119312526253514/wit-20260331.htm
Unclear whether these name the same thing; recorded, not resolved (D-143).
Recorded, not resolved (D-143) · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Wipro Cognitive Finance
Wipro Professional services firm
Wipro Cognitive Finance
Planning and FP&A, Accounts payable, Finance data and analytics
Established machine learning and rules, Agents and automated actionsSuggests and acts
Professional services firm
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features
Wipro describes Cognitive Finance as infusing AI into the finance value stream to optimize operations and strengthen control and compliance across the finance and accounting value chain.
Listed capabilities include forecasting financials with a deep neural net on historical data, flagging contract discrepancies after extraction, detecting duplicate and fraudulent invoices and high-risk transactions, and answering vendor queries through a virtual conversational agent.
Wipro pairs it with an Enterprise Intelligent Quotient framework that scores a finance organization from 0 to 10 and sets a roadmap.
AI features
- Neural-net financial forecasting Suggests
- Anomaly detection Suggests
- Contract extraction and discrepancy flags Suggests
- Virtual conversational agent for vendor queries Acts
Full record, with every source
Compare CCH Tagetik (close, consolidation, planning and disclosure) with Expert AI
Wolters Kluwer Software vendor
CCH Tagetik (close, consolidation, planning and disclosure) with Expert AI
Close, Consolidation, Reconciliation +2
Built into the platform, Agents and automated actions, Established machine learning and rulesSuggests and acts
Customer finance team
Not stated
None found in the sources read
October 12, 2026
Summary, 3 AI features, conflicts
CCH Tagetik is Wolters Kluwer's platform for financial close, consolidation, planning and reporting, with Expert AI built into those processes.
Wolters Kluwer lists automated data mapping, anomaly detection, transaction matching and driver-based analysis among its AI capabilities, and generative AI for disclosure narratives.
Four named agents are orchestrated by a super agent that selects them on the user's behalf.
Wolters Kluwer's own pages describe Expert AI as an assistant that leaves final decisions with finance, and its agents as autonomous, acting with minimal human intervention.
AI features
- Expert AI (data mapping, anomaly detection, transaction matching) Suggests
- Generative disclosure narratives and Intelligent Disclosure Suggests
- Agentic AI (Data Architect, Process Guardian, Insight Designer, Data Analyst; super agent) Suggests and acts
Unclear or conflicting
Whether Expert AI assists or acts
Statement A
Expert AI acts as an intelligent assistant, but final decisions always remain with your finance team.
wolterskluwer.com/en/solutions/cch-tagetik/ai-powers-cch-tagetik
Statement B
CCH Tagetik AI agents are autonomous software agents … [that] take action across complex, multi-step workflows with minimal human intervention; Finance asks. The platform acts—within boundaries you define.
wolterskluwer.com/en/solutions/cch-tagetik/ai-powers-cch-tagetik/agentic-ai
The first page also carries a heading for agents that do not just assist but act (C-3044). Recorded under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Adaptive from Workday (formerly Workday Adaptive Planning)
Workday Platform provider
Adaptive from Workday (formerly Workday Adaptive Planning)
Planning and FP&A
Built into the platform, Agents and automated actions, Established machine learning and rules, General-purpose assistantSuggests and acts
Vendor, Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features
Workday has renamed Workday Adaptive Planning as Adaptive from Workday, a cloud planning platform for budgeting, forecasting, reporting, analysis and scenario modeling, and says its capabilities and AI features are unchanged.
Its AI includes Decision Intelligence for Adaptive, an Architect Agent, an MCP server, a Predictive Forecaster and Anomaly Detection.
Workday says Decision Intelligence can run Monte Carlo simulations and commit updated scenarios into Adaptive as new plan versions, and that these capabilities are included with Adaptive.
Workday's 10-K describes AI-assisted forecasts that draw on historical and third-party data such as economic data and labor statistics.
AI features
- Decision Intelligence for Adaptive Suggests and acts
- Architect Agent Not stated
- Predictive Forecaster and Anomaly Detection Suggests
- Adaptive MCP Server Not stated
Full record, with every source
Compare Workday Financial Management (close, consolidation and accounting agents)
Workday Platform provider
Workday Financial Management (close, consolidation and accounting agents)
Close, Consolidation, Reconciliation +3
Built into the platform, Agents and automated actionsSuggests and acts
Customer finance team
Not stated
None found in the sources read
October 12, 2026
Summary, 4 AI features, conflicts
Workday Financial Management automates consolidations, allocations, currency translation, intercompany eliminations and account reconciliations, with AI-powered reconciliation that surfaces exceptions with lineage back to the transaction.
Workday's Accounting Agent is described as preparing, reconciling and certifying accounts, preparing accruals and running controls in the background, while accountants set the rules and handle the exceptions routed to them.
A Financial Audit Agent collects audit evidence and a Financial Test Suite automates tests on financial data and controls.
Workday sells its AI agents through Flex Credits, a usage-based model metered per agent skill.
AI features
- Accounting Agent Suggests and acts
- Financial Audit Agent Suggests and acts
- Financial Test Suite Not stated
- AI-powered reconciliation Suggests and acts
Unclear or conflicting
Flex Credits pricing model
Statement A
Workday Flex Credits is a pay-as-you-go pricing model that gives you immediate access to AI agents and platform innovations.
workday.com/en-us/ai-agents/finance/accounting.html
Statement B
Flex Credits are credits purchased in bulk and applied across any eligible agent or platform innovation, providing greater predictability than a pay-as-you-go approach.
workday.com/en-us/ai-agents/ai-flex-credits.html
Recorded under D-143; not resolved.
Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Workday Paradox Candidate Experience Agent (Olivia)
Workday Platform provider
Workday Paradox Candidate Experience Agent (Olivia)
Recruiting and sourcing, Screening and ranking, Interviewing +1
Built into the platform, Agents and automated actionsActs
Customer HR team
Not stated
None found in the sources read
October 21, 2026
Summary, 4 AI features
Paradox, whose acquisition Workday completed on October 1, 2025, sells the Workday Paradox Candidate Experience Agent, a conversational AI assistant called Olivia.
Candidates reach it by text or chat to apply and be screened, schedule interviews against recruiters' calendars, get answers to questions, and receive offer letters and onboarding forms.
Paradox says Olivia screens each candidate against job requirements, schedules qualified candidates automatically and can disposition those who are not a fit, without gender, race or ethnicity factoring in.
AI features
- Conversational screening Acts
- Automated self-scheduling and rescheduling Acts
- Text-to-Apply and candidate Q&A Acts
- Offer management and automatic onboarding Acts
Full record, with every source
Compare Workday Recruiting Agent (HiredScore AI for Recruiting)
Workday Platform provider
Workday Recruiting Agent (HiredScore AI for Recruiting)
Recruiting and sourcing, Screening and ranking
Built into the platform, Established machine learning and rulesSuggests and acts
Vendor, Customer HR team
Usage-based
None found in the sources read
October 21, 2026
Summary, 4 AI features, conflicts
Workday sells AI recruiting as its Recruiting Agent, built on HiredScore: it resurfaces past applicants and CRM leads, grades applicants against job requirements with a rationale for each grade, and keeps recruiters and hiring managers updated in their existing workflows.
HiredScore grades candidates from A to D on how well a resume matches a job's qualifications, and an opt-in release of August 2026 moves that grading to a large language model that explains each qualification it judges met or not met.
Workday's Flex Credits rate card meters grading at 6 credits per resume and talent rediscovery at 750 credits per requisition.
AI features
- Candidate Grading & Insights (Spotlight) Suggests
- Talent Rediscovery (Fetch) Suggests
- Candidate Fast Lane Acts
- Recruiter and hiring manager guidance Suggests
Unclear or conflicting
Whether HiredScore automates employment decisions
Statement A
Responsible AI at HiredScore datasheet: HiredScore does not automate employment decisions.
workday.com/content/dam/web/en-us/documents/datasheets/responsible-ai-at-hiredscore.pdf
What HiredScore's solutions do versus do not do (p. 2)
Statement B
Feature descriptions: Candidate Fast Lane provides the ability to automatically advance top-rated applicants through the hiring process to the hiring manager review phase.
doc.workday.com/admin-guide/en-us/workday-feature-descriptions/workday-hiredscore/hiredscore-ai-for-recruiting.html
Automation Recipes: Candidate Fast Lane
Whether an automatic advance by grade counts as an employment decision, and whether Fast Lane is available today, is not stated. Recorded under D-143; not resolved.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source
Compare Workiva platform and Workiva AI (financial reporting and disclosure)
Workiva Software vendor
Workiva platform and Workiva AI (financial reporting and disclosure)
Reporting and disclosure, SOX and controls, Audit and internal audit
Built into the platform, Agents and automated actionsSuggests and acts
Individual user
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features
Workiva sells a cloud platform for reporting and disclosure that connects data from ERP and other systems to data-linked documents and filings, organized around financial reporting, sustainability and GRC.
Its AI layer includes prebuilt agents for tie-outs, controls testing and disclosure drafting, and Agent Studio for building agents in plain language with rules for human review.
At Amplify 2026 Workiva introduced finance agents for roll forward, peer benchmarking, tie-out and XBRL validation.
Workiva names Google, AWS/Anthropic and Microsoft/OpenAI as the model providers behind Workiva AI.
AI features
- Tie-Out Agent Suggests
- Benchmarking Insights Agent Suggests
- Roll Forward + Prep Agent and Validation Agent for XBRL tagging Suggests and acts
- Agent Studio Suggests and acts
- Workiva MCP Not stated
Full record, with every source
Compare Zuora AI for billing, revenue and collections
Zuora Software vendor
Zuora AI for billing, revenue and collections
Revenue and billing, Receivables and collections
Built into the platform, Agents and automated actionsSuggests and acts
Vendor
Not stated
None found in the sources read
October 12, 2026
Summary, 5 AI features, conflicts
Zuora's documentation describes Zuora AI as intelligence built into its quote-to-cash system, made up of agents for billing, revenue and collections that analyze data and take action through natural language.
An Organization Admin sets each tenant to Off, Read-Only or Supervised, and Zuora says the AI does not bypass permissions, segregation of duties or approval workflows.
In Supervised mode, within the Zuora AI product experience, it proposes changes that run only after a user approves them, with each approved action recorded in the audit trail under that user.
AI features
- Chat with Zuora AI Suggests and acts
- Integrated AI summaries Suggests
- Supervised write actions Suggests and acts
- Controls Not stated
- Zuora MCP server Suggests and acts
Unclear or conflicting
How to opt out of the move to Supervised mode
Statement A
Tenant access page: see the Supervised mode page for the rollout schedule and how to opt out.
docs.zuora.com/en/zuora-ai/organization-administration-for-zuora-ai/tenant-access-to-ai
Tenant-level AI access (closing sentence)
Statement B
Supervised mode page: gives the phased upgrade schedule for Read-Only tenants and contains no opt-out steps.
docs.zuora.com/en/zuora-ai/organization-administration-for-zuora-ai/tenant-access-to-ai/supervised-mode-for-zuora-ai
whole page (Note: phased upgrade schedule)
A documentary gap rather than two contrary statements: one page points to opt-out instructions the other does not contain.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Production upgrade date: weekday and date disagree
Statement A
Supervised mode page: production tenants upgraded "Thursday, July 7, 2026" (weekday as written).
docs.zuora.com/en/zuora-ai/organization-administration-for-zuora-ai/tenant-access-to-ai/supervised-mode-for-zuora-ai
Note (phased upgrade schedule)
Statement B
Same line: the date July 7, 2026, which falls on a Tuesday; the sandbox date on the line above, "Tuesday, June 16, 2026", is consistent.
docs.zuora.com/en/zuora-ai/organization-administration-for-zuora-ai/tenant-access-to-ai/supervised-mode-for-zuora-ai
Note (phased upgrade schedule)
Quoted as written; which day production tenants were upgraded, and whether the upgrade happened, is not stated in the sources read.
Unresolved · Both statements are published as found; CoE draws no inference about which governs.
Full record, with every source

Not stated means the sources read do not say. Hover or focus “sources” to see them. Each record shows the date it was last verified.

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