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Trintech

Trintech, a Plano, Texas vendor of the Cadency and Adra close platforms and AI agents; no current SEC registration.

3 offerings in the directory Last verified Full profile

Ownership
Not stated

Not stated in the documents read. Trintech has no current SEC registration; a lender filing lists first-lien debt in Trintech, Inc.

Audit firm
No

Full profile

Trintech’s close platforms include Cadency and Adra. It describes an assistant, Beacon, embedded in Cadency, a set of AI agents delivered through its AI Platform, and a separate set of AI capabilities in Adra. This profile sets out what Trintech says these features do, what independent evidence exists, and what a finance team should establish before relying on them.

Which AI this covers: AI built into Trintech’s finance platform, as Trintech documents it: generative features, agents and established machine learning or matching automation. It does not cover general-purpose assistants a team might use alongside Trintech. See What We Mean by AI.

This profile covers three of the four kinds of AI described in What We Mean by AI: AI built into finance platforms, AI agents and automated actions, and established machine learning and rules-based automation. Product statements come from Trintech’s own pages, releases, brochures, compliance documents and published contract terms. Trintech’s product documentation and release notes are in its Success Center, which could not be read as text, so the profile rests on what Trintech publishes openly.

At a glance

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 the Adra suite as automating reconciliations, transaction matching, close task management and journal entry with AI-assisted workflows, and Adra’s native AI options as supporting reconciliations, transaction matching, task management, variance analysis and support. Trintech, headquartered in Plano, Texas, describes its platform as automating reconciliation, transaction matching, close management, journal entry, intercompany accounting and compliance. Trintech also lists ReconNET, Frontier, Accurate and DATAFlow among its products; this profile does not cover them.

Vendor-stated capabilities

Close capabilities

  • Reconciliation and matching. Trintech says Cadency notifies accountants of items that need attention together with applicable risk factors, and creates exceptions automatically for unmatched items, which are routed through configurable notification and resolution processes.
  • Close management. Cadency orchestrates system and close activities in a workflow designed to show bottlenecks and create actions for issue resolution.
  • Compliance and audit support. Supporting material is captured in an online "eBinder," and auditors have secure access to a centralized record.
  • Intercompany. Cadency provides a workflow for comparing and reconciling transactions between entities as part of the close.
  • Journal entry. Cadency Journal Entry lets customers configure viewing and editing rights, validates entries for accuracy and completeness before they move to the next workflow stage, and connects to SAP, Oracle and NetSuite through certified pre-built connectors.
  • ERP integration. Trintech lists pre-built Cadency connectors for SAP, Oracle ERPs and NetSuite, along with APIs and data-as-a-service.
  • Adra. Trintech describes Adra Matcher for automated multi-way transaction matching, Adra Balancer for balance sheet reconciliations, Adra Task Manager for close checklists, Adra Analytics for reports and dashboards, and Adra Journal Entry for creating, posting and reporting journals. It lists a pre-built NetSuite connector for Adra, an embedding in Microsoft 365, and an integration with Planful that it presents as running "from close to consolidate to report and plan".
  • Consolidation support. Trintech’s consolidation page describes automated matching across source systems and consolidation inputs, variance and flux analysis across entities, currencies and reporting hierarchies, close tracking across entities and regions, and automated intercompany matching and elimination to remove internal activity from consolidated results. The page names no Trintech product or module as the consolidation solution. Its opening line reads "Automate, standardize, and control the entire FP&A consolidation and close process," followed by "From multi-entity eliminations to management reporting".

Security and assurance statements

Trintech states that it has held ISO/IEC 27001 certification since 2021 and names a certification body’s directory where third parties can check its status. It states that re-certification is by audit every three years, with an annual surveillance audit. It states that it maintains an SSAE 18 SOC 1 Type 2 attestation and an annual SOC 2 Type 2 attestation covering security, availability and confidentiality, with monthly bridge letters between audit periods. Its SOC 2 report covers October 1 to September 30, and its SOC 1 reports cover three twelve-month windows ending September 30, March 31 and June 30. Trintech says it updates its SIG and CAIQ security questionnaires quarterly. Its Trust Center lists TX-RAMP Level 2 certification for Cadency and ReconNet.

On AI specifically, the Trust Center says AI features are opt-in, that users can see how the AI reached a recommendation, and that every model update goes through a request-for-change and rollback process. It states that customer data is never used to train general-purpose AI models and that people oversee AI outputs. It says Trintech monitors its models monthly for accuracy, bias and drift and keeps logs, approvals, audits and data protection impact assessments for every model and use case. It describes its AI governance framework as built with ISO/IEC 23894 and the NIST AI Risk Management Framework in mind. These are Trintech’s statements; CoE | Vendor Intelligence has not seen the certificates, the reports or the governance records.

AI features

The kind of AI and the suggests-or-acts reading in this table are CoE classifications based on Trintech’s descriptions; Trintech calls several of these features agents even where the documented function is to produce a draft for review. Trintech’s Agentic AI page describes the agents as "Workflow execution, not task suggestion," completing finance work end to end with review and approval points. The "who controls it" column reports only what Trintech documents; beyond the Trust Center’s general statement that AI features are opt-in, Trintech does not say feature by feature who switches each one on.

FeatureWhat Trintech says it doesKind of AISuggests or actsWho controls itAvailability as documentedSource and read date
Cadency Journal Entry Risk Rating EngineUses machine learning and AI algorithms to rate the risk of each journal entry against predefined criteria, so high-risk entries can be locatedEstablished machine learning and rules-based automationSuggests: it rates entries; people decide what to do with themNot statedNot stated on the pageCadency Journal Entry page
Beacon (Cadency)An LLM-powered assistant embedded in Cadency for journal preparation, navigation, document analysis, daily close briefings, questions about the customer’s data, and flagging items outside set thresholdsAI built into finance platforms (generative)Both: it recommends, and the brochure says that once a person approves, Beacon applies and executes commands on the user’s behalfThe brochure refers to "controlled activation" without saying who activates itAvailability terms not stated; the brochure offers a single-tenant option in a private cloudBeacon brochure
Beacon Journal Entry AgentGenerates a journal entry in the appropriate Cadency template from transaction descriptions, supporting material and user prompts, ready for user review and submissionAI built into finance platforms (generative)Suggests: a person reviews and submitsA person reviews and submits each entry; configuration control not statedNot statedBeacon brochure
Beacon Match Rule AgentProposes matches and new matching rules from historical data and fills in the rule fields for an administrator to review and confirmAI built into finance platformsSuggests: an administrator confirms the ruleAn administrator confirms each proposed ruleNot statedBeacon brochure
Flux AgentAnalyzes account fluctuations during the close, with AI-assisted anomaly detection and AI-generated explanations of movementsAI built into finance platforms (generative), labeled an agentSuggests: Trintech says outputs remain subject to existing review and approval controlsNot stated; outputs pass through the customer’s existing review and approval controlsAnnounced June 25, 2026 and described as available, through an account manager for existing customersTrintech release of June 25, 2026
Variance Analysis AgentReviews budget-to-actual variances after the close and drafts reviewer-ready explanations with supporting evidenceAI built into finance platforms (generative), labeled an agentSuggests: Trintech says it can run alongside an existing process with finance approving every outputNot stated; finance approves each outputAnnounced June 25, 2026 and described as availableTrintech release of June 25, 2026
Accruals Intelligence AgentRecommends accrual amounts from historical activity, flags estimates outside historical trends, identifies true-ups and reversals, and tracks its own accuracy by preparer, account and methodologyAI built into finance platforms, labeled an agentSuggests: each recommendation carries its evidence, approvals and audit trailNot statedUnveiled September 28, 2026; the release states no availability statusTrintech release of September 28, 2026
Exception Management AgentClassifies and prioritizes exceptions, investigates each one, names a likely root cause with a confidence score, gathers supporting evidence, and groups related exceptionsAI agents and automated actionsInvestigates each exception and gathers its own evidence; Trintech says it holds some steps for a person and logs every finding and action, without saying which actions the agent takes or which steps it holdsNot statedUnveiled September 28, 2026; no availability status statedTrintech release of September 28, 2026
Data Access AgentConnects to, retrieves, cleans, reshapes and delivers financial data, including from login-only, MFA-gated and no-API sources, through what Trintech calls self-managed connectionsAI agents and automated actionsActs: it retrieves data from other systems, including login-only and MFA-gated sources, and delivers it to Cadency, Adra or ReconNETTrintech calls the connections self-managed without saying who manages themUnveiled September 28, 2026; no availability status statedTrintech release of September 28, 2026, and Agentic AI page
Adra AI capabilitiesAI-assisted matching rules, variance analysis, task checklists, library onboarding and data import, plus Adra Assistant for user guidanceAI built into finance platformsSuggests: users can review, adjust, accept or reject outputs, and AI-assisted actions are logged in the audit trailUsers review, adjust, accept or reject each output; who enables the capabilities is not statedListed as "available" capabilities; no edition or region terms statedAdra AI tip sheet

Across the agents, Trintech describes a move "from AI that surfaces insights to AI that executes the work itself," within existing controls, approvals and audit trails. Its Agentic AI page says the agents learn from how teams match, reconcile and resolve work, and operate across the Trintech platform or alongside ERP and third-party systems.

Independent market evidence

No current SEC filings by Trintech. EDGAR’s company index lists no current registrant named Trintech: its only entries are for Trintech Group PLC and its ADRs, and that company’s last filing was a Form 15-12G terminating its registration, filed January 13, 2011. There is therefore no 10-K business description, AI strategy statement or risk-factor disclosure to read, as there would be for a public vendor.

Lender filings. Trintech, Inc. appears as a borrower in Morgan Stanley Direct Lending Fund’s quarterly report for the period ended June 30, 2026, which lists first-lien debt in Trintech, Inc. maturing on January 28, 2033, together with an unfunded revolver and a delayed-draw term loan. A lender’s schedule of investments records the lender’s holdings; it says nothing about Trintech’s products, AI features or operating results.

Analyst placements. CoE | Vendor Intelligence did not read an analyst firm’s own public page on Trintech for this profile, so no analyst placement is shown.

Regulators and standards bodies. No regulator or standards-body publication about Trintech’s AI features was found. Trintech’s statements about its certifications appear above as its own statements; for ISO/IEC 27001, Trintech names the certification body’s directory where its status can be checked.

Independently verified outcomes

No independently verified outcomes were found. CoE | Vendor Intelligence read the Trintech documents listed on this page and one lender filing that mentions Trintech, and searched the web for independent studies or audits of Trintech’s AI features; the search returned user-review listings, comparison articles and a return-on-investment paper prepared with Trintech, and no outcome measured or attested by a party independent of Trintech.

The outcome figures Trintech publishes are vendor-stated, and CoE | Vendor Intelligence has not verified them. Its Cadency page shows a 75% reduction in time spent preparing and reviewing journal entries, and its Cadency Journal Entry page gives "up to" 40% for the same measure; neither states the population, baseline or method. Its Adra AI tip sheet says that teams have more than doubled their automatic match rates "in just one month," without a population or baseline.

Pricing and packaging

None of the Trintech documents cited here states a price for Cadency, Adra, Beacon or the AI agents, and Trintech’s agent announcements direct existing customers to their account manager and new customers to an AI specialist. In October 2026, Trintech’s website had no pricing page and its FAQ stated no price. On this evidence, Trintech’s pricing is available by quotation, so there is no list price to compare with negotiated terms. The documents also do not say whether Beacon, the agents or the Adra AI capabilities are included in an existing subscription, sold separately, or limited by edition or region.

Known limitations

  • Model providers and their locations. Trintech’s list of sub-processors, dated August 2026, names Microsoft Azure for Beacon’s model-related functionality and OpenAI as a failover for Beacon, and gives the United States as the location of both. It states that Azure supports Flux’s model-related functionality effective October 6, 2026, replacing Dell. The same list shows Cadency hosted in the United States, the United Kingdom, Germany and Australia. The Beacon brochure states "Your data stays in your system with no risky transfers" and offers a single-tenant option in a private cloud. Where Beacon and Flux process prompts and data is a question to put to Trintech.
  • Sub-processor changes. Trintech’s data protection addendum for Adra, which its Adra terms page lists without a legacy label, and its data protection addendum for Cadency (version June 2025), which its Cadency terms page labels "Legacy (through 2025)," each require written notice of an intended sub-processor addition or replacement and let the customer object within 15 days of the notice if it reasonably determines that the change is contrary to the addendum or applicable privacy laws; neither addendum states a notice period before the new sub-processor is engaged. If the customer does not accept Trintech’s recommended change, or Trintech makes none within 15 days of the objection, the agreement is deemed terminated insofar as the new sub-processor would be used, with a refund of prepaid fees for unused services. The addenda concern the processing of personal data; whether a change of model provider is notified under this clause is a question for Trintech.
  • Adra model processing is not described. The sub-processor list names model-related sub-processors only for Cadency features and none for Adra. How the Adra AI capabilities are delivered is not documented in the materials read.
  • Training, learning and usage data. The Trust Center’s commitment covers training of general-purpose models. Trintech also says its agents learn from how teams match, reconcile and resolve work, and that the Accruals Intelligence Agent tracks its own accuracy by preparer and account. Both data protection addenda, the Adra addendum and the Cadency addendum labeled "Legacy (through 2025)," state that Trintech "may process Services usage data as a controller to provide, maintain, and improve the Services, to the extent permitted by Applicable Privacy Laws," in accordance with Trintech’s privacy policy. The documents read do not say whether usage data includes prompts and outputs, or whether one customer’s data shapes models or rules used for other customers.
  • Breach notice, backups and deletion. The Adra security addendum, which applies to production environments unless the order says otherwise, commits Trintech to notice within 72 hours of becoming aware of a security breach that could expose customer data, keeps backups for up to 30 days, removes customer data and encryption keys within 30 days of a written request or termination notice, and sets a recovery point of 4 hours and a recovery time of 12 hours. The Cadency security addendum (version March 2023), which Trintech’s Cadency terms page labels "Legacy (through 2025)," sets 48 hours for breach notice and, for production environments unless the order says otherwise, backups for up to 28 days, the same 30-day removal, and a recovery point of 1 hour and a recovery time of 4 hours. Both addenda say Trintech provides its SOC 1 and SOC 2 reports on request, limited to the most recent applicable audit and one request in any rolling twelve months except after a security breach with the potential to expose subscriber data. None of the four addenda refers to AI features or model training, so they should not be read as AI-specific terms.
  • Assurance scope. The Trust Center describes the SOC 1 and SOC 2 reports and their periods without saying which products or features they cover. Whether the AI features and agents are in scope is not stated.
  • Packaging and availability. The June 2026 release describes its two agents as available; the September 2026 release gives no availability status for its three, and the documents read state no edition, region or language limits for the AI features. The Beacon brochure mentions voice and multilingual use without listing languages.
  • Nature of the evidence. The capability statements on this page come from marketing pages, press releases and brochures rather than technical documentation, which Trintech keeps in its customer portal.

CoE analysis

Trintech’s AI features fall into three groups, and each needs different evidence before finance relies on it.

Drafts that a person approves. As Trintech describes them, Beacon’s journal entries, Flux and Variance narratives, and Accruals recommendations arrive as proposed work for a reviewer. The control is the review, and an approval counts as evidence when the reviewer could have caught what the draft got wrong, as discussed in Review Is a Control Only When It Can Catch the Error. A recommended accrual or a generated journal entry should be supported like any other entry before it is booked, including evidence that nothing was left out, as set out in Treat AI Output Like an Unsupported Journal Entry.

Features that act. The Data Access Agent retrieves data from other systems, including login-only and MFA-gated sources, and delivers it into the close. Beacon, by Trintech’s description, executes commands once a person approves them. Both belong in the organization’s authority register: whose credentials the agent uses, what it may do without a further approval, and how that limit is enforced in the systems it touches, as discussed in Your AI Agent Is an Unlisted Signer.

Scoring and matching. The Risk Rating Engine and AI-assisted matching rules are closer to established automation, but a rule or score that a model proposes still changes what reviewers see and what auto-matches. Finance should know who confirmed each rule and when it last changed.

Model changes. Trintech states that model updates go through a request-for-change and rollback process, and its data protection addenda (for Adra, and for Cadency in the addendum labeled "Legacy (through 2025)") give 15 days to object, on stated grounds, to a new sub-processor. Its August 2026 sub-processor list, for example, states that Azure supports Flux’s model-related functionality effective October 6, 2026, replacing Dell. Internal Control Over Generative AI, Applied to the Close explains how existing change-management and vendor-oversight controls extend to changes of this kind. Generated variance and fluctuation narratives are also claims about the numbers, and the presentation questions in A Chart Is a Claim apply to them as much as to charts.

CoE | Vendor Intelligence does not score or rank Trintech against other vendors. The useful comparison is between what Trintech documents and what a finance team needs to evidence for its own controls.

Community Observations

Not yet published. Community Observations are added after a licensing review.

Member input under review

None yet.

Relevant diligence questions

  1. Which AI features are switched on in our Cadency or Adra tenant today, which need us to opt in, who in our organization can enable them, and how will we be told when a release changes what they do?
  2. Where are Beacon and Flux prompts, customer data and outputs processed, in which regions, and does the 15-day sub-processor objection right in our data protection addendum apply to every change of model provider?
  3. Is our data, including the usage data the addenda let Trintech use to improve the Services, used to train, tune or improve any model or rule, including the learning the agents do from our matching and reconciliation activity, and is it combined with other customers’ data?
  4. Do the SOC 1 and SOC 2 reports Trintech provides on request include Beacon, the agents and the Adra AI capabilities in scope, and which controls in those reports cover model changes?
  5. For each agent, what can it do without a person’s approval, which steps does it hold for review, whose credentials does it use, and what does the audit trail record about its inputs and the model version used?
  6. How are Beacon, the agents and the Adra AI capabilities packaged and priced: included in the subscription, sold as add-ons or metered by usage, and limited by edition, region or language?

Evidence gaps and unanswered questions

  • Trintech’s product documentation and release notes are in its customer portal and were not read; this profile relies on public pages, releases, brochures, the sub-processor list and published contract terms.
  • Beyond naming model sub-processors, no public document read describes the models behind Beacon, the agents or the Adra AI capabilities, how they are evaluated, or how model versions are recorded.
  • No independently verified outcomes and no analyst page were found.
  • Trintech’s consolidation page describes matching, flux analysis, close tracking and intercompany eliminations that support consolidation; neither that page nor the product documents read describe a consolidation ledger or a group consolidation reporting module, so teams evaluating consolidation should ask Trintech what is in scope.
  • Trintech’s Cadency terms page labels the Cadency data protection and security addenda read for this profile "Legacy (through 2025)"; its Adra terms page lists the Adra addenda without a legacy label. Which addenda apply to Cadency orders signed after 2025 is not stated on the pages read.
  • The documents cited do not state who owns Trintech.
  • Pricing, packaging and edition limits for the AI features are not published.

Right of reply

Organizations referenced on this page may respond under our Editorial Independence & Right of Reply policy.

Review status

This profile was last reviewed on October 12, 2026. Vendor-stated information is rechecked monthly. It is not legal, accounting or procurement advice.

Offering · Software

Trintech Adra

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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. SourceAdra Suite: Financial Close Automation Software

It lists AI-assisted matching rules, variance analysis, task checklists, library onboarding and data import, plus Adra Assistant for user guidance. SourceTrintech Adra AI: Practical AI for a Faster, Smarter Financial Close (tip sheet)

Trintech says users can review, adjust, accept or reject AI-assisted outputs and that AI-assisted actions are logged in the audit trail. SourceTrintech Adra AI: Practical AI for a Faster, Smarter Financial Close (tip sheet)

Where it fits

CoE analysis Close and reconciliation software with a NetSuite connector, a Microsoft 365 embedding and a Planful integration, where the AI features propose rather than post. SourceAdra Suite: Financial Close Automation Software

CoE analysis How the Adra AI capabilities are delivered and which models they use is not documented in the materials read.

What it does

Offering type
Software
SourceAdra Suite: Financial Close Automation Software
Customer size
Not stated

AI

Availability
Generally available

The Adra AI tip sheet lists the AI capabilities as available; no edition or region terms are stated.

SourceTrintech Adra AI: Practical AI for a Faster, Smarter Financial Close (tip sheet)
Models named
Not stated

Control

Who controls it
  • Individual user
  • Customer finance team
SourceTrintech Adra AI: Practical AI for a Faster, Smarter Financial Close (tip sheet)

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 11
  • Independent market evidence None read
  • Independently verified outcomes None read
  • Pricing 1
  • Known limitations 1
Coverage
Full profile
Last verified

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.

  1. Adra AI capabilities

    AI-assisted matching rules, variance analysis, task checklists, library onboarding and data import; identifies patterns in unmatched transactions and recommends match logic.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Individual user
    Availability
    Generally available

    Control: Users review, adjust, accept or reject each output; who enables the capabilities is not stated.

    SourceTrintech Adra AI: Practical AI for a Faster, Smarter Financial Close (tip sheet)
  2. Adra Assistant

    Provides user guidance within Adra.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Not stated
    Availability
    Generally available

    Control: Not stated.

    SourceTrintech Adra AI: Practical AI for a Faster, Smarter Financial Close (tip sheet)

Questions to ask

For this offering

  • Which AI features are switched on in our Cadency or Adra tenant today, which need us to opt in, who in our organization can enable them, and how will we be told when a release changes what they do?
  • Is our data, including the usage data the addenda let Trintech use to improve the Services, used to train, tune or improve any model or rule, and is it combined with other customers' data?
  • Do the SOC 1 and SOC 2 reports Trintech provides on request include Beacon, the agents and the Adra AI capabilities in scope, and which controls cover model changes?
  • How are Beacon, the agents and the Adra AI capabilities packaged and priced, and are they limited by edition, region or language?

From the diligence question set

  1. DQ-04 Which AI features are in the modules and edition we license, or would license, and is each generally available, in preview or beta, a paid add-on, or limited by edition or region?
  2. DQ-05 Which AI features are switched on by default, which does an administrator have to enable, and can each be switched off on its own?
  3. DQ-10 What data does each feature read, from which modules, documents or outside sources, and what data can it not see?
  4. DQ-14 Does your service auditor's report cover the AI features we would use, for what period, and which controls does it expect us to operate?
  5. DQ-16 Is our data, including inputs, outputs, documents and corrections, used to train or improve any model, yours or a third party's? Is that off by default, and is the commitment in the contract?
  6. DQ-19 How are the AI features priced: included in the subscription, sold as an add-on or higher tier, or metered by use? What is the billing unit?
  7. DQ-27 For reconciliation and matching: what rules and tolerances govern automatic matches, can a match be undone, and how are unmatched and partly matched items shown?

Offering · AI agent

Trintech AI agents (Flux, Variance Analysis, Accruals Intelligence, Exception Management, Data Access)

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Trintech announced its Flux Agent and Variance Analysis Agent on June 25, 2026 and described them as available. SourceTrintech Introduces Flux and Variance Analysis Agents, Giving Finance Teams Trusted AI Coworkers for Financial Close and Performance Review

On September 28, 2026 it unveiled a Data Access Agent, an Accruals Intelligence Agent and an Exception Management Agent. SourceTrintech Launches Three New AI Agents to Advance Governed Autonomous Finance

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. SourceTrintech Launches Three New AI Agents to Advance Governed Autonomous Finance

Where it fits

CoE analysis Agents that draft close narratives and accrual recommendations for review, alongside a data access agent that retrieves data from other systems, including MFA-gated sources. SourceTrintech's Agentic AI for Financial Close

CoE analysis The agents that act belong in the organization's authority register before reliance.

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 16
  • Independent market evidence None read
  • Independently verified outcomes None read
  • Pricing 1
  • Known limitations 1
Coverage
Full profile
Last verified

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.

  1. Flux Agent

    Analyzes account fluctuations during the close, with AI-assisted anomaly detection and AI-generated explanations of movements.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Customer finance team
    Availability
    Generally available

    Control: Outputs pass through the customer's existing review and approval controls.

    SourceTrintech Introduces Flux and Variance Analysis Agents, Giving Finance Teams Trusted AI Coworkers for Financial Close and Performance Review
  2. Variance Analysis Agent

    Reviews budget-to-actual variances after the close and drafts reviewer-ready explanations with supporting evidence.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Customer finance team
    Availability
    Generally available

    Control: Finance approves each output.

    SourcesTrintech Introduces Flux and Variance Analysis Agents, Giving Finance Teams Trusted AI Coworkers for Financial Close and Performance ReviewTrintech's Agentic AI for Financial Close
  3. Accruals Intelligence Agent

    Recommends accrual amounts from historical activity, flags estimates outside trends, identifies true-ups and reversals, and tracks its own accuracy.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Not stated
    Availability
    Announced

    Control: Not stated.

    SourceTrintech Launches Three New AI Agents to Advance Governed Autonomous Finance
  4. Exception Management Agent

    Classifies and prioritizes exceptions, investigates each one, names a likely root cause with a confidence score, gathers evidence and groups related exceptions.

    Kind
    Agents and automated actions
    Suggests or acts
    Suggests and acts
    Who controls it
    Not stated
    Availability
    Announced

    Control: Not stated.

    SourceTrintech Launches Three New AI Agents to Advance Governed Autonomous Finance
  5. Data Access Agent

    Connects to, retrieves, cleans, reshapes and delivers financial data, including from login-only, MFA-gated and no-API sources, into Cadency, Adra or ReconNET.

    Kind
    Agents and automated actions
    Suggests or acts
    Acts
    Who controls it
    Not stated
    Availability
    Announced

    Control: Trintech calls the connections self-managed without saying who manages them.

    SourcesTrintech Launches Three New AI Agents to Advance Governed Autonomous FinanceTrintech's Agentic AI for Financial Close

Questions to ask

For this offering

  • Where are Beacon and Flux prompts, customer data and outputs processed, in which regions, and does the 15-day sub-processor objection right in our data protection addendum apply to every change of model provider?
  • Is our data, including the usage data the addenda let Trintech use to improve the Services, used to train, tune or improve any model or rule, and is it combined with other customers' data?
  • Do the SOC 1 and SOC 2 reports Trintech provides on request include Beacon, the agents and the Adra AI capabilities in scope, and which controls cover model changes?
  • For each agent, what can it do without a person's approval, which steps does it hold for review, whose credentials does it use, and what does the audit trail record about its inputs and the model version used?
  • How are Beacon, the agents and the Adra AI capabilities packaged and priced, and are they limited by edition, region or language?

From the diligence question set

  1. DQ-06 Does each feature suggest or act? Can it create, post, approve or change records, and where is that limit enforced?
  2. DQ-07 Who can change each feature's configuration, prompts, thresholds, data connections or model: your company, our administrators or individual users? Can we restrict and log those changes?
  3. DQ-12 Does the feature learn from our data, including corrections and overrides, and how does it detect and handle changes in our business?
  4. DQ-13 What does the system record for each AI output or action, and can we export and keep those records for as long as we need them?
  5. DQ-14 Does your service auditor's report cover the AI features we would use, for what period, and which controls does it expect us to operate?
  6. DQ-18 Can a feature reach data or take actions beyond the permissions of the user it works for, and how is it protected against instructions hidden in the documents or data it reads?
  7. DQ-19 How are the AI features priced: included in the subscription, sold as an add-on or higher tier, or metered by use? What is the billing unit?
  8. DQ-28 For journal entries: can the feature draft, create or post entries, under whose identity are they recorded, and do approval workflow and segregation of duties apply to them as they do to manual entries?

Offering · Software

Trintech Cadency with Beacon

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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. SourceCadency: Transformative Financial Close Software

It describes Beacon as an LLM-powered assistant embedded in Cadency for journal preparation, navigation, document analysis and questions about the customer's data. SourceTrintech Beacon: Your AI Powered Assistant for the Financial Close (brochure)

Cadency Journal Entry uses machine learning to rate the risk of each journal entry against predefined criteria. SourceCadency Journal Entry

Where it fits

CoE analysis Close platform for large enterprises with an embedded assistant that drafts entries and, once a person approves, executes commands.

CoE analysis Teams evaluating consolidation should ask what is in scope, since the pages read describe consolidation support rather than a consolidation ledger.

What it does

Offering type
Software
SourceCadency: Transformative Financial Close Software
Workflow areas
  • Close
  • Reconciliation
  • SOX and controls
SourceCadency: Transformative Financial Close Software
Customer size
Enterprise
SourceCadency: Transformative Financial Close Software

AI

Kind of AI
  • Built into the platform
  • Established machine learning and rules
SourcesTrintech Beacon: Your AI Powered Assistant for the Financial Close (brochure)Cadency Journal Entry
Availability
Not stated

Beacon's availability terms are not stated; the brochure offers a single-tenant private cloud option. The Trust Center says AI features are opt-in.

Models named
  • Microsoft
  • OpenAI
SourceList of Sub-processors (August 2026)

Control

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 23
  • Independent market evidence 2
  • Independently verified outcomes None read
  • Pricing 1
  • Known limitations 2
Coverage
Full profile
Last verified

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.

  1. Beacon

    An LLM-powered assistant embedded in Cadency for journal preparation, navigation, document analysis, daily close briefings, questions about the customer's data and flagging items outside thresholds; once a person approves, it applies and executes commands on the user's behalf.

    Kind
    Built into the platform
    Suggests or acts
    Suggests and acts
    Who controls it
    Customer finance team
    Availability
    Not stated

    Control: The brochure refers to controlled activation without saying who activates it; the Trust Center says AI features are opt-in.

    SourcesTrintech Beacon: Your AI Powered Assistant for the Financial Close (brochure)Trust Center
  2. Beacon Journal Entry Agent

    Generates a journal entry in the appropriate Cadency template from transaction descriptions, supporting material and prompts, ready for user review and submission.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Individual user
    Availability
    Not stated

    Control: A person reviews and submits each entry; configuration control not stated.

    SourceTrintech Beacon: Your AI Powered Assistant for the Financial Close (brochure)
  3. Beacon Match Rule Agent

    Proposes matches and new matching rules from historical data and fills in rule fields for an administrator to confirm.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Customer finance team
    Availability
    Not stated

    Control: An administrator confirms each proposed rule.

    SourceTrintech Beacon: Your AI Powered Assistant for the Financial Close (brochure)
  4. Cadency Journal Entry Risk Rating Engine

    Uses machine learning and AI algorithms to rate the risk of each journal entry against predefined criteria so high-risk entries can be located.

    Kind
    Established machine learning and rules
    Suggests or acts
    Suggests
    Who controls it
    Not stated
    Availability
    Not stated

    Control: Not stated.

    SourceCadency Journal Entry

Unclear or conflicting statements

Where the sources are unclear or disagree, both statements are shown with their links.

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.

Questions to ask

For this offering

  • Which AI features are switched on in our Cadency or Adra tenant today, which need us to opt in, who in our organization can enable them, and how will we be told when a release changes what they do?
  • Where are Beacon and Flux prompts, customer data and outputs processed, in which regions, and does the 15-day sub-processor objection right in our data protection addendum apply to every change of model provider?
  • Is our data, including the usage data the addenda let Trintech use to improve the Services, used to train, tune or improve any model or rule, and is it combined with other customers' data?
  • Do the SOC 1 and SOC 2 reports Trintech provides on request include Beacon, the agents and the Adra AI capabilities in scope, and which controls cover model changes?
  • For each agent, what can it do without a person's approval, which steps does it hold for review, whose credentials does it use, and what does the audit trail record about its inputs and the model version used?
  • How are Beacon, the agents and the Adra AI capabilities packaged and priced, and are they limited by edition, region or language?

From the diligence question set

  1. DQ-05 Which AI features are switched on by default, which does an administrator have to enable, and can each be switched off on its own?
  2. DQ-06 Does each feature suggest or act? Can it create, post, approve or change records, and where is that limit enforced?
  3. DQ-07 Who can change each feature's configuration, prompts, thresholds, data connections or model: your company, our administrators or individual users? Can we restrict and log those changes?
  4. DQ-12 Does the feature learn from our data, including corrections and overrides, and how does it detect and handle changes in our business?
  5. DQ-14 Does your service auditor's report cover the AI features we would use, for what period, and which controls does it expect us to operate?
  6. DQ-16 Is our data, including inputs, outputs, documents and corrections, used to train or improve any model, yours or a third party's? Is that off by default, and is the commitment in the contract?
  7. DQ-17 How long are prompts, outputs and logs kept, where are they stored and processed, and can we have them deleted?
  8. DQ-19 How are the AI features priced: included in the subscription, sold as an add-on or higher tier, or metered by use? What is the billing unit?