Professional services firm
KPMG LLP (US)
KPMG LLP offers AI for the close: the Ignite Financial Close Companion, an agentic close command center and Intelligent Close delivered as a service.
Function
- Ownership
- Not stated
Not stated in the sources read. KPMG LLP is a Delaware limited liability partnership and the US member firm of the KPMG global organization, and KPMG International Limited is a private English company limited by guarantee; the legal form does not say who owns the firm. An EDGAR search for KPMG LLP returned no matching company.
- Headquarters
- United StatesSourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- SEC reporting
- NoSourceEDGAR company searches and submission records for the audit and advisory firms (Deloitte, PricewaterhouseCoopers, Ernst & Young, KPMG, Grant Thornton, BDO USA, RSM US, Protiviti)
- Audit firm
- YesSourcesInspection Data for U.S. Global Network FirmsKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- Subprocessor list
- Not stated
- Contract terms
- Not stated
Offering · Advisory with tooling
KPMG agentic close command center
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. SourceTake command of the financial close (article with close command center walkthrough offer)
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. SourceTake command of the financial close (article with close command center walkthrough offer)
Where it fits
Continuous close monitoring layered over existing ERPs, which KPMG shows in a private walkthrough on simulated ERP systems. SourceTake command of the financial close (article with close command center walkthrough offer)
CoE analysis The page describes both mandatory human validation and fully automated routine items, so buyers should establish which entries post without review. SourceTake command of the financial close (article with close command center walkthrough offer)
What it does
- Offering type
- Advisory with toolingSourceTake command of the financial close (article with close command center walkthrough offer)
- Workflow areas
- SourceTake command of the financial close (article with close command center walkthrough offer)
- Close
- Reconciliation
- Customer size
- Not stated
AI
- Kind of AI
- Agents and automated actionsSourceTake command of the financial close (article with close command center walkthrough offer)
- Suggests or acts
- Suggests and actsSourceTake command of the financial close (article with close command center walkthrough offer)
- Availability
- Not stated
Offered as a private walkthrough running across simulated ERP systems; production availability is not stated.
- Models named
- Not stated
Control
- Who controls it
- Not stated
Not stated in the sources read.
Commercial
- Pricing model
- Not stated
- Public price
- Not stated
Evidence
- Independent outcomes
- None found in the sources read.
- Sources read
- Vendor-stated 5
- Independent market evidence 5
- Independently verified outcomes None read
- Pricing None read
- Known limitations None read
- Coverage
- Directory record
- Last verified
Delivery and lock-in
- Delivery model
- Not stated
Not stated in the sources read. KPMG says the command center layers over existing ERPs through more than 200 pre-built connectors; whether it is delivered as software the client keeps, a hosted service or within an engagement is not stated.
- Run service offered
- Not stated
- Team qualifications published
- Lists Dmitry Levin (Partner, Advisory, Finance Transformation, KPMG US) and John Whalen (Managing Director, Advisory, Finance Transformation, KPMG US) under "Contact Us" and attributes pull quotes to both; a member of KPMG's finance transformation team schedules walkthroughs. No team size or credential criteria are stated.SourceTake command of the financial close (article with close command center walkthrough offer)
- IP and post-engagement license
- Not stated
Not stated in the sources read.
- Savings claims (firm-stated)
- Not stated
Not stated in the sources read.
- Alliance partners
- Not stated
Not stated in the sources read.
Security and control
- Single sign-on
- Not covered in this record
- User provisioning
- Not covered in this record
- Role-based access
- Not covered in this record
- Administrator controls for AI
- Not covered in this record
- Audit logs
- Not covered in this record
- Certifications
- Not covered in this record
- Data retention
- Not covered in this record
- Data residency
- Not covered in this record
- Training on customer data
- Not covered in this record
AI features
As the vendor or firm describes them. Notes in small print record what the sources leave open.
Close agents (accruals, reconciliations, anomalies)
Continuously monitor transactions, flag accounting exceptions and prepare draft entries; route work across ERP systems.
- Kind
- Agents and automated actions
- Suggests or acts
- Suggests and acts
- Who controls it
- Not stated
- Availability
- Not stated
Control: Not stated.
SourceTake command of the financial close (article with close command center walkthrough offer)Close command center
Centralized dashboard with persona-driven visibility into close status, risk metrics and variance insights.
- Kind
- Agents and automated actions
- Suggests or acts
- Suggests
- Who controls it
- Not stated
- Availability
- Not stated
Control: Not stated.
SourceTake command of the financial close (article with close command center walkthrough offer)
Unclear or conflicting statements
Where the sources are unclear or disagree, both statements are shown with their links.
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).
Questions to ask
For this offering
- If KPMG audits our financial statements, has our audit committee pre-approved this service, and how does KPMG assess it against the SEC non-audit service categories (bookkeeping, financial information systems design and implementation, internal audit outsourcing, management functions) and, for ICFR-related work, PCAOB Rule 3525? Ask our audit committee and counsel to confirm.
- Which reconciliations and accruals would post without human validation, and how is that reconciled with the stated mandatory human-in-the-loop design?
- Is the command center software we license, a KPMG-hosted service, or tooling used within an engagement?
- What do the 200+ connectors read and write in our ERPs, and under whose credentials?
- What evidence of agent decisions is retained for our close file and our auditor?
From the diligence question set
- DQ-31 Who, by name and role, will design, build, test and run the AI in our finance process, and what AI has each of those people personally put into production?
- DQ-32 How does your firm decide that someone is qualified to build or govern AI for financial reporting, and who outside the delivery team reviews model risk before anything goes live?
- DQ-33 When the engagement ends, what will we own and be able to run ourselves, and what will work only with your firm? On what terms are your accelerators licensed afterward, and what does it cost to leave a run service?
- DQ-35 Do you receive fees, rebates, resale margins or other incentives from the software you are recommending, and do you, or will you, audit our financial statements?
Offering · AI agent
KPMG Ignite Financial Close Companion
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. SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
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. SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
Where it fits
Month-end close work for Workday customers at the entity-controller level. SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
KPMG's notice says some or all of the services described may not be permissible for KPMG audit clients. SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
What it does
- Offering type
- AI agentSourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- Workflow areas
- CloseSourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- Customer size
- Not stated
AI
- Kind of AI
- Agents and automated actionsSourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- Suggests or acts
- Suggests and actsSourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- Availability
- Not stated
KPMG says it 'today introduced' the Companion on April 22, 2026; general availability, editions and regions are not stated.
- Models named
- SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- Google (Gemini Enterprise)
Control
- Who controls it
- Not stated
Not stated. Users give natural-language instructions; who can change the agent's configuration, checklist, prompts or data connections is not stated.
Commercial
- Pricing model
- Not stated
- Public price
- Not stated
Evidence
- Independent outcomes
- None found in the sources read.
- Sources read
- Vendor-stated 3
- Independent market evidence 5
- Independently verified outcomes None read
- Pricing None read
- Known limitations None read
- Coverage
- Directory record
- Last verified
Delivery and lock-in
- Delivery model
- Not stated
Not stated in the sources read. The release describes an AI-powered assistant integrated with Workday and powered by Gemini Enterprise; how clients obtain it is not stated.
- Run service offered
- Not stated
- Team qualifications published
- The release quotes Brian Anderson, Workday Platform Leader, KPMG LLP, and Webb Armentrout, Principal & Firmwide Ecosystem Lead, KPMG LLP. No delivery team, team size or credential criteria are stated.SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- IP and post-engagement license
- Not stated
Not stated in the sources read.
- Savings claims (firm-stated)
- Not stated
Not stated in the sources read. The release says the assistant reduces manual touchpoints and time to close, without a figure.
- Alliance partners
- SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
- Workday
- Google Cloud
The release says that, through the digital teammate model, KPMG and its alliance partners are enabling a more connected, intelligent financial reporting system, and quotes Webb Armentrout, a KPMG principal, calling the product "a testament to the strength of our alliances with Workday and Google Cloud".
Security and control
- Single sign-on
- Not covered in this record
- User provisioning
- Not covered in this record
- Role-based access
- Not covered in this record
- Administrator controls for AI
- Not covered in this record
- Audit logs
- Not covered in this record
- Certifications
- Not covered in this record
- Data retention
- Not covered in this record
- Data residency
- Not covered in this record
- Training on customer data
- Not covered in this record
AI features
As the vendor or firm describes them. Notes in small print record what the sources leave open.
Close task execution
Users issue natural-language instructions to initiate and execute month-end close activities in Workday; the agent follows a month-end checklist.
- Kind
- Agents and automated actions
- Suggests or acts
- Acts
- Who controls it
- Not stated
- Availability
- Not stated
Control: Not stated; user-instructed.
SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)First-pass analysis and anomaly flags
Interprets results such as trial balances, spots trends and flags anomalies for investigation, with human review and signoff.
- Kind
- Agents and automated actions
- Suggests or acts
- Suggests
- Who controls it
- Not stated
- Availability
- Not stated
Control: Not stated; human review and signoff kept in the loop.
SourceKPMG Debuts AI Digital Assistant to Enhance Month-End Financial Close, Built with Workday and Google Cloud's Gemini Enterprise (press release, April 22, 2026)
Questions to ask
For this offering
- If KPMG audits our financial statements, has our audit committee pre-approved this service, and how does KPMG assess it against the SEC non-audit service categories (bookkeeping, financial information systems design and implementation, internal audit outsourcing, management functions) and, for ICFR-related work, PCAOB Rule 3525? Ask our audit committee and counsel to confirm.
- What can the agent do in Workday under a user's instruction (post, adjust, reconcile), and which actions require a second approver?
- Is the Companion licensed as software, delivered by KPMG in an engagement, or both, and is it generally available?
- Where does Gemini Enterprise process our Workday data, and what retention and training terms apply across KPMG, Google and Workday?
- What log of agent actions and checklist steps is kept for our close evidence and our auditor?
From the diligence question set
- DQ-31 Who, by name and role, will design, build, test and run the AI in our finance process, and what AI has each of those people personally put into production?
- DQ-32 How does your firm decide that someone is qualified to build or govern AI for financial reporting, and who outside the delivery team reviews model risk before anything goes live?
- DQ-33 When the engagement ends, what will we own and be able to run ourselves, and what will work only with your firm? On what terms are your accelerators licensed afterward, and what does it cost to leave a run service?
- DQ-35 Do you receive fees, rebates, resale margins or other incentives from the software you are recommending, and do you, or will you, audit our financial statements?
Offering · Managed service
KPMG Intelligent Close (Finance as a Service)
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. SourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
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. SourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
Where it fits
A managed close for organizations that want KPMG to run and improve the process, with autonomous agents in the delivery. SourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
CoE analysis The scope sits close to record-keeping and reporting, so the auditor relationship should be settled first.
What it does
- Offering type
- Managed serviceSourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
- Workflow areas
- SourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
- Close
- Reporting and disclosure
- Finance data and analytics
- Customer size
- Not stated
AI
- Kind of AI
- Agents and automated actionsSourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
- Suggests or acts
- ActsSourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
- Availability
- Not stated
No availability statement.
- Models named
- Not stated
Control
- Who controls it
- Professional services firmSourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
Delivered by KPMG under build-and-operate or build-operate-transfer models, on client-owned or KPMG-provided technology.
Commercial
- Pricing model
- Not stated
- Public price
- Not stated
Evidence
- Independent outcomes
- None found in the sources read.
- Sources read
- Vendor-stated 3
- Independent market evidence 5
- Independently verified outcomes None read
- Pricing None read
- Known limitations None read
- Coverage
- Directory record
- Last verified
Delivery and lock-in
- Delivery model
- HybridSourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
KPMG says organizations can choose between two FaaS delivery models, build and operate, or build, operate and transfer, on existing client-owned or KPMG-provided technologies. Under the transfer option it says, for companies that plan to scale up, it helps operate the capabilities while training the client's workforce until it has the skills and resources to operate the upgraded platform on its own.
- Run service offered
- YesSourcesFinance as a Service (article page)Turn Your Finance Team into a Growth Engine with Managed Services (article)
- Team qualifications published
- Says services are delivered by skilled professionals with industry and functional know-how, and lists Karen Schreiber (Principal), David J. Fourie (Partner, Digital Finance Founder), Anuj Mathur (Principal) and Colleen Mohnkern (Director) under "Meet our team". No team size or credential criteria are stated.SourceFinance as a Service (article page)
- IP and post-engagement license
- KPMG says the technologies can be existing client-owned technologies or KPMG-provided technologies. Under its build, operate and transfer option it trains the client's workforce until it can operate the upgraded platform on its own; the sources do not say whether the platform, its IP or any licenses transfer, and no license terms are stated. A KPMG article also says that for many companies the best approach is to use FaaS to get up to speed while building in-house capabilities, with the goal of taking back operations with their own staff and technology.SourcesAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a ServiceTurn Your Finance Team into a Growth Engine with Managed Services (article)
- Savings claims (firm-stated)
- SourcesTurn Your Finance Team into a Growth Engine with Managed Services (article)Finance as a Service (article page)
Stated by the firm, not verified
KPMG's outcome-based approach to managed services has the potential to reduce total cost of operations by as much as 15 to 45 percent.
Stated for KPMG managed services generally, not for Intelligent Close alone; baseline, period and whether service fees are netted are not stated.
50% improvement in productivity; 70% improvement in accounting productivity.
Stated for KPMG Finance as a Service as a whole (the Finance as a Service page), not for Intelligent Close alone. Stated as seen in KPMG's research and work with clients; clients, baselines and periods are not stated.
25%+ improvement in working capital.
Stated for KPMG Finance as a Service as a whole (the Finance as a Service page), not for Intelligent Close alone. Same basis as above; not stated further.
5X faster planning cycles; 3X-5X improved returns on capital.
Stated for KPMG Finance as a Service as a whole (the Finance as a Service page), not for Intelligent Close alone. Same basis as above; not stated further. The same list also states 100% controls compliance and 50% more accurate forecasts.
- Alliance partners
- Not stated
Not stated in the sources read.
Security and control
- Single sign-on
- Not covered in this record
- User provisioning
- Not covered in this record
- Role-based access
- Not covered in this record
- Administrator controls for AI
- Not covered in this record
- Audit logs
- Not covered in this record
- Certifications
- Not covered in this record
- Data retention
- Not covered in this record
- Data residency
- Not covered in this record
- Training on customer data
- Not covered in this record
AI features
As the vendor or firm describes them. Notes in small print record what the sources leave open.
Autonomous AI agents in the close
AI agents that can perform tasks autonomously under strict governance and controls, as part of autonomous accounting.
- Kind
- Agents and automated actions
- Suggests or acts
- Acts
- Who controls it
- Professional services firm
- Availability
- Not stated
Control: Operated by KPMG in the service.
SourceAI-enabled financial close: KPMG Intelligent Close delivered through Finance as a Service
Questions to ask
For this offering
- If KPMG audits our financial statements, has our audit committee pre-approved this service, and how does KPMG assess it against the SEC non-audit service categories (bookkeeping, financial information systems design and implementation, internal audit outsourcing, management functions) and, for ICFR-related work, PCAOB Rule 3525? Ask our audit committee and counsel to confirm.
- Which close tasks would KPMG agents perform autonomously, and where do our own approvals sit?
- Under build-operate-transfer, what agents, configurations and documentation transfer to us, and when?
- Which technology is KPMG-provided, who licenses it, and what happens to it at exit?
- What SOC reporting covers the service and its agents?
From the diligence question set
- DQ-31 Who, by name and role, will design, build, test and run the AI in our finance process, and what AI has each of those people personally put into production?
- DQ-32 How does your firm decide that someone is qualified to build or govern AI for financial reporting, and who outside the delivery team reviews model risk before anything goes live?
- DQ-33 When the engagement ends, what will we own and be able to run ourselves, and what will work only with your firm? On what terms are your accelerators licensed afterward, and what does it cost to leave a run service?
- DQ-34 What will this cost in years two to five, including run fees, platform licenses, AI usage fees and change requests, and how does that compare with the savings case once the internal oversight roles we keep are counted?
- DQ-35 Do you receive fees, rebates, resale margins or other incentives from the software you are recommending, and do you, or will you, audit our financial statements?
- DQ-36 What results from clients like us can you show that someone other than your firm has verified, and by what method?
