Best AI for CFOs

Research notes on AI in finance work, by task

Index
W/P 1
Built
4 November 2026
Volume
1
This page
3 exhibits
  1. Best AI for CFOs
  2. Use cases
  3. Forecasting

1of 12 workpapers

Cash-flow and revenue forecasting

Which AI products produce or adjust revenue and cash forecasts, from what data, and who checks the result?

Published . Vendor pages read 29 October 2026.

How AI products build cash, revenue and receivables forecasts, what inputs they need, where a person must review, and questions for a vendor.

Products listed
21
Makers in the SEC ticker file
3
Filing excerpts
3
Notes
39

Lead schedule.Data the makers in this workpaper name

One stroke per record, in fives. Systems named by 4 or more records; every system is in Appendix C.

The schedule scrolls sideways; the workpaper column stays in place.

W/PBanksNetSuiteERPSAPCardsIntacctWorkdayClaudeCRMQuickBooksDynamicsOraclePaymentsPayrollSalesforceNo data named
1Forecasting42511113311119

Answer sheet.What the makers' pages in this workpaper answer

One stroke per record: solid where the maker's own page answers the question, dotted where the pages read are silent. A count of what the pages say, not a score.

W/PData it namesWhere a person reviewsModel or data handling
1Forecasting12 of 214 of 2115 of 21

1The work

AI forecasting products take a company's own history (bookings, invoices, payments, bank balances, headcount) and produce a baseline forecast that a planner then adjusts; they do not remove the planner. The products in this note either fit statistical or machine learning models to that history, predict when customers will pay, or let a person ask questions of the plan in plain language.

A finance team forecasts at several horizons. The thirteen-week cash forecast is built from receivables, payables, payroll and debt service, and lives or dies on the timing of customer payments. The revenue forecast for the quarter and the year rests on pipeline, renewals and pricing. The annual plan adds drivers: hires, capital spending, price changes, foreign exchange. Each has a different owner and a different tolerance for error.

Most of the work is not arithmetic. It is gathering the data from the ERP, the CRM, the bank portals and the payroll system; deciding which history still describes the business after an acquisition, a price change or a lost customer; agreeing the assumptions with the business owners; and explaining the difference between the last forecast and this one. A person must stay in the loop at three points: choosing the history the model learns from, accepting or overriding the baseline, and signing off the version that goes to the board or the lenders.

Machine learning helps most where there is a long, regular history with many small items, such as payment timing across thousands of invoices. It helps least where the future is shaped by one decision the data has never seen, such as a new product, a covenant reset or a change in payment terms. Several makers in this note say their baseline is explainable or that each answer traces back to the data; the questions below are about testing that claim.

2Where AI is applied

Makers describe three kinds of feature. Some build a baseline forecast automatically from historical actuals and choose a model per line. Some predict customer and vendor payment behaviour to drive the cash forecast. Some put an assistant or agent over the planning model so a planner can ask for scenarios in plain language. The quotations below are the makers' own words.

Exhibit 1.1.What the makers say, in their words, alphabetical by maker

  • Abacum runs AI inside your model, so every answer is consistent, reusable, and grounded in how your business actually works.6
    Abacum, Abacum Intelligence, AI Modeler
  • Agicap AI isn't a single feature: it's the layer of artificial intelligence and machine learning built across the Agicap platform to help finance teams forecast faster, automate manual work, and query their cash data in plain language.7
    Agicap, Agicap AI
  • Leverage our AI Scan tool and data drill-downs to automatically spot and explain variances in a matter of seconds.8
    Aleph, Aleph AI, Scan
  • Automate budget tasks, enhance forecasting accuracy, and enable data-driven decisions with Anaplan's AI agent for financial planning and consolidation10
    Anaplan, Anaplan Finance Analyst
  • It analyzes buyer behavior and forecasts cash flow while explaining every shift.11
    Billtrust, Billtrust AI
  • Verity AI is built on years of deep finance and accounting process knowledge with human-designed guardrails embedded at every step.13
    BlackLine, AR Intelligence, Verity AI
  • Board Agents are persona-based and trained on high-impact use cases to help your teams continuously plan and forecast more confidently.14
    Board, Board AI, FP&A Agent, Controller Agent
  • Four FP&Agents handle the always-on work across your data, reports, plans and business partners. Agents scale finance's capacity, while the people remain in control.15
    Cube, Cube AI, FP&Agents, Cube MCP Server
  • The Planning Agent supports fast, ad-hoc, forecasting and scenario analysis.16
    Datarails, Datarails AI Agents, Planning Agent, Storytelling
  • Its AI agents handle the daily accounting, payments and reporting, from night audit to month-end close, for accurate books and faster closes without adding headcount.17
    Docyt, Docyt AI agents, BooksGPT
  • Use AI to build scenarios, update models, and explain variances without hallucinated numbers.18
    Drivetrain, Scenario agent, Modeling agent, Formula agent, Reporting agent, BvA agent, Data transformation agent, Data classification agent
  • Parse remittance documents using LLM models to capture required invoice information from varied remittance formats like email attachments, email body.19
    HighRadius, Cash Application, Cash Flow Forecasting, Collections
  • JedoxAI’s multi-agent intelligence engine unites internal data from systems like ERP and CRM with external insights accessed securely via LLMs.22
    Jedox, JedoxAI
  • NetSuite Bill Capture helps reduce the time your accounting team spends entering invoice data by using AI-based document object detection and optical character recognition (OCR) technology to scan invoices into NetSuite.23
    NetSuite, NetSuite Bill Capture, NetSuite Exception Management, NetSuite Narrative Reporting, NetSuite Planning and Budgeting
  • Purpose-built ML forecasting with embedded generative AI commentary.24
    OneStream, SensibleAI Forecast, AI-Powered Account Reconciliations
  • The agent can ingest invoices from email, portals, EDI/e-invoicing, and PDFs; extract/normalize data; match to POs/receipts; create distributions/accounting; apply tax/policy/fraud checks; and route for approval/payment26
    Oracle, Payables Agent, Ledger Agent, Account Reconciliation Agent, Planning Agent, Narrative reporting
  • Simulate scenarios in real time and receive clear, actionable recommendations based on your data, models, and business context.27
    Pigment, Pigment AI, Analyst Agent, Modeler Agent
  • Machine learning builds your baseline automatically.28
    Planful, Planful AI, Projections, Signals
  • Compares forecast to actuals and flags meaningful drift as it happens.29
    Ripple Treasury, GSmart AI, Treasury AI agents
  • AI-powered payment-to-invoice matching that processes lockbox PDFs, remittance emails, and bank feeds to automatically reconcile payments with high accuracy.30
    Tesorio, Collections Agent, Cash Application Agent
  • Generate structured budgets and forecasts directly in Excel using natural language.31
    Vena, Vena AI, Planning Agent

Source: the makers' own pages, read 29 October 2026; notes 6 to 31.

3Limits and control questions

A forecast is an estimate, and the model behind it is only as good as the history it was given and the person who decides when that history stops being relevant. Ask how the product handles a structural break: an acquisition, a new pricing model, a change in collection terms.

Thresholds are a judgment, not a setting. The SEC staff's view on materiality is that "exclusive reliance on this or any percentage or numerical threshold has no basis in the accounting literature or the law."1 The same applies to forecast variance: a tolerance band set as a percentage will miss a small change that matters.

NIST's AI Risk Management Framework is a common reference for those questions. NIST says the framework is "intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems."2 Its first version is published as NIST AI 100-1.3

Where a product uses a generative model to draft text, NIST has published a separate profile on the risks particular to generative AI, NIST AI 600-1.4 That matters when the product writes commentary on the forecast as well as the numbers.

Vendor claims about AI are claims, not findings. The SEC has brought settled charges against two investment advisers "for making false and misleading statements about their purported use of artificial intelligence (AI)."5 A finance team that relies on a vendor's description should ask for evidence of what the feature does with its own data.

4What filers say

A full-text search of SEC filings made between June 2025 and October 2026 found no filer describing AI in its own work on this task in words specific enough to quote. See how filings were searched.

Exhibit 1.2.Finance-software filers on their AI products

Listed software companies describing their own AI products to investors. These are the makers' statements, made in filings.

  • We use artificial intelligence (AI) to deliver strategic finance capabilities in one integrated platform that includes accounts payable (AP), accounts receivable (AR), expenses, forecasting, procurement, and more.37
    BILL Holdings, Inc. (BILL), Form 10-K filed 20 August 2026
  • In addition, we provide a suite of data and AI-led finance and accounting services that include financial planning and analysis, decision support, GAAP and STAT accounting, regulatory and statutory reporting, and compliance services in addition to core finance operations.38
    ExlService Holdings, Inc. (EXLS), Form 10-K filed 24 February 2026
  • With native AI and machine learning capabilities built specifically for Finance, our platform automates and streamlines workflows, accelerates analysis and improves forecast accuracy, equipping the Office of the CFO to report, predict and guide business performance.39
    OneStream, Inc. (OS), Form 10-K filed 26 February 2026

Source: SEC EDGAR full-text search; notes 37 to 39.

5Products

Exhibit 1.3.Products addressing cash-flow and revenue forecasting, by the data they name

21 product records whose makers say they address this task, alphabetical by maker. Open a row for our summary, the data it names and the maker's words on review; the marks show which questions the maker's pages answer.

  1. Abacum Intelligence, AI ModelerAbacumData it names: not stated.Where a person reviews: not stated.Model or data handling: not stated.
    Our summary
    An FP&A planning platform with AI that answers questions and builds models inside the customer's own planning model. The maker says it builds financial models from plain-language instructions.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  2. Agicap AIAgicapData it names: quoted.Where a person reviews: quoted.Model or data handling: quoted.
    Our summary
    A cash management platform with AI built across forecasting, collections and questions about cash data. The maker says its AI drafts collection emails from invoice and payment history.
    Data it names (our list)
    Bank feeds, ERP, Invoices
    Where a person reviews (quoted)
    Agicap surfaces anomalies and prompts you for review and action with full context, not just a notification.
  3. Aleph AI, ScanAlephData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    An FP&A platform whose AI tool, Scan, flags and explains changes between periods. The maker also describes AI that classifies and maps incoming source data.
    Data it names (our list)
    ERP, HRIS, CRM
    Where a person reviews (quoted)
    Not stated on the pages read.
  4. Anaplan Finance AnalystAnaplanData it names: not stated.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    An AI agent inside Anaplan's planning applications for budgeting, forecasting and consolidation. The maker says answers combine a language model with its own calculation engines.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  5. Billtrust AIBilltrustData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI across an accounts receivable platform covering credit, collections, cash application and receivables forecasting. The maker says its models draw on payment behaviour across its buyer network.
    Data it names (our list)
    Anthropic Claude, Microsoft Copilot
    Where a person reviews (quoted)
    Not stated on the pages read.
  6. AR Intelligence, Verity AIBlackLineData it names: not stated.Where a person reviews: not stated.Model or data handling: not stated.
    Our summary
    An accounts receivable analytics product that aggregates AR data for cash flow forecasting and DSO analysis. The maker describes Verity AI as built with human-designed guardrails.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  7. Board AI, FP&A Agent, Controller AgentBoardData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    Planning software with role-based AI agents for FP&A, the controller's close work and other planning teams. The maker says customers can bring their own models through APIs and connectors.
    Data it names (our list)
    Azure ML Studio, Databricks, R, Snowflake
    Where a person reviews (quoted)
    Not stated on the pages read.
  8. Cube AI, FP&Agents, Cube MCP ServerCubeData it names: quoted.Where a person reviews: quoted.Model or data handling: not stated.
    Our summary
    An FP&A platform with AI agents for data, reporting, planning and business-partner requests, and a connector that lets general AI assistants read its governed numbers. The maker says people remain in control.
    Data it names (our list)
    Claude, ChatGPT, Microsoft Copilot, Gemini
    Where a person reviews (quoted)
    Agents scale finance's capacity, while the people remain in control.
  9. Datarails AI Agents, Planning Agent, StorytellingDatarailsData it names: not stated.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    Generative AI agents in an FP&A platform for forecasting, scenario analysis and narrative summaries of financial data. The maker's AI terms say outputs may be inaccurate or incomplete.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  10. Docyt AI agents, BooksGPTDocytData it names: quoted.Where a person reviews: quoted.Model or data handling: not stated.
    Our summary
    An accounting system with AI agents for hotels, restaurants, retailers and franchises. The maker says its agents handle daily bookkeeping, payments and reporting through month-end close.
    Data it names (our list)
    PMS, POS, Payroll, Banks, Cards
    Where a person reviews (quoted)
    High-precision AI with humans in the loop
  11. Scenario agent, Modeling agent, Formula agent, Reporting agent, BvA agent, Data transformation agent, Data classification agentDrivetrainData it names: not stated.Where a person reviews: quoted.Model or data handling: quoted.
    Our summary
    AI agents in Drivetrain's FP&A software that build scenarios, update models and explain variances. The maker says every change is versioned and traceable to its source.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Every change is reviewable, versioned, and traceable to its source.
  12. Cash Application, Cash Flow Forecasting, CollectionsHighRadiusData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    Order-to-cash and treasury software with AI agents for cash application, collections and cash flow forecasting. The maker says remittances are parsed with language models and forecasts use AI trained on ERP data.
    Data it names (our list)
    SAP, Oracle, NetSuite, Dynamics 365, Bank statements
    Where a person reviews (quoted)
    Not stated on the pages read.
  13. JedoxAIJedoxData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI in a planning platform that combines ERP and CRM data with external information for forecasting, budgeting and demand planning. The maker says customers can bring their own models.
    Data it names (our list)
    ERP, CRM
    Where a person reviews (quoted)
    Not stated on the pages read.
  14. NetSuite Bill Capture, NetSuite Exception Management, NetSuite Narrative Reporting, NetSuite Planning and BudgetingNetSuiteData it names: not stated.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI features in Oracle's NetSuite ERP that scan invoices into the system, flag anomalies in financial data, write report narratives and explain forecasts. The page names the third-party models it uses.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  15. SensibleAI Forecast, AI-Powered Account ReconciliationsOneStreamData it names: not stated.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    Machine learning forecasting with generative commentary, and pre-built AI detectors for exceptions in account reconciliations. The maker says the models are built into its finance platform.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  16. Payables Agent, Ledger Agent, Account Reconciliation Agent, Planning Agent, Narrative reportingOracleData it names: not stated.Where a person reviews: not stated.Model or data handling: not stated.
    Our summary
    AI agents and generative AI features in Oracle Fusion Cloud ERP for invoice processing, account reconciliation, planning and variance narratives. The page marks which features are generative AI and which are agents.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  17. Pigment AI, Analyst Agent, Modeler AgentPigmentData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI agents in a business planning platform that simulate scenarios and make recommendations from the customer's models. The maker says its models do not train on customer data.
    Data it names (our list)
    ERP, CRM, HRIS, Data warehouse
    Where a person reviews (quoted)
    Not stated on the pages read.
  18. Planful AI, Projections, SignalsPlanfulData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI in a financial planning platform that builds baseline forecasts with machine learning and answers questions about plan data. The maker says AI-tool access through its connector is read-only.
    Data it names (our list)
    Historical performance data, Claude
    Where a person reviews (quoted)
    Not stated on the pages read.
  19. GSmart AI, Treasury AI agentsRipple TreasuryData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI agents in a treasury management system that compare forecasts with actuals, answer questions about treasury data and assist with connectivity. The maker says agents use only the customer's isolated data.
    Data it names (our list)
    ERP, Bank connectivity
    Where a person reviews (quoted)
    Not stated on the pages read.
  20. Collections Agent, Cash Application AgentTesorioData it names: quoted.Where a person reviews: not stated.Model or data handling: not stated.
    Our summary
    AI agents for collections outreach and for matching payments to invoices, with an AR forecast. The maker names the ERPs, CRM and processors it connects to.
    Data it names (our list)
    NetSuite, Sage Intacct, Workday, Zuora, Salesforce, Stripe
    Where a person reviews (quoted)
    Not stated on the pages read.
  21. Vena AI, Planning AgentVenaData it names: not stated.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    Generative AI for FP&A in Vena's Excel-based planning software, with a planning agent that builds budgets and forecasts from natural-language requests.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.

Source: the makers' own pages, read 29 October 2026; notes 6 to 36.

6Questions to put to a vendor

  1. Which models does the product fit, and can we see which one it chose for each line and why?
  2. What history does it need, at what grain, and what does it do with gaps, one-off items and acquisitions?
  3. How is forecast error measured and reported back to us, period by period, against our own actuals?
  4. Can a planner override the baseline, and is every override logged with the person and the reason?
  5. Does any of our data train a model used for other customers? Where is it processed and stored?
  6. If the product drafts commentary, how is each statement tied to a number in the model?
  7. What happens to the forecast when an integration fails or a feed is late?
  8. Which accuracy figures on your site come from customers, over what period, and how were they measured?

Notes

  1. U.S. Securities and Exchange Commission, Staff Accounting Bulletin No. 99: Materiality. www.sec.gov/interps/account/sab99.htm. Read 29 October 2026.
  2. National Institute of Standards and Technology, AI Risk Management Framework. www.nist.gov/itl/ai-risk-management-framework. Read 29 October 2026.
  3. National Institute of Standards and Technology, Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1. nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf. Read 29 October 2026.
  4. National Institute of Standards and Technology, Generative Artificial Intelligence Profile, NIST AI 600-1. nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf. Read 29 October 2026.
  5. U.S. Securities and Exchange Commission, SEC Charges Two Investment Advisers with Making False and Misleading Statements About Their Use of Artificial Intelligence. www.sec.gov/newsroom/press-releases/2024-36. Read 29 October 2026.
  6. Abacum, Abacum Intelligence: Auditable AI for FP&A | Abacum. www.abacum.ai/product/intelligence. Read 29 October 2026.
  7. Agicap, AI Powered Cash Flow Management Software | Agicap. agicap.com/en/features/ai-cash-flow-management/. Read 2 November 2026.
  8. Aleph, Aleph | AI-native FP&A software & data management for finance. www.getaleph.com/. Read 2 November 2026.
  9. Aleph, AI-native FP&A software with end-to-end intelligence | Aleph. www.getaleph.com/platform/ai. Read 2 November 2026.
  10. Anaplan, Intelligent role-based agents | Anaplan. www.anaplan.com/platform/intelligent-role-based-agents/. Read 1 November 2026.
  11. Billtrust, Trusted AI that turns earned revenue into cash | Billtrust. www.billtrust.com/ai. Read 29 October 2026.
  12. Billtrust, Billtrust AI & LLM Information | Official Entity Data. www.billtrust.com/ai-info. Read 29 October 2026.
  13. BlackLine, AR Intelligence | BlackLine. www.blackline.com/products/invoice-to-cash/ar-intelligence/. Read 29 October 2026.
  14. Board, Board AI: Where continuous planning becomes agentic. www.board.com/ai. Read 29 October 2026.
  15. Cube, FP&Agents: Purpose-Built AI Agents for FP&A | Cube. www.cubesoftware.com/ai-agents. Read 2 November 2026.
  16. Datarails, AI-Powered FP&A Platform for Finance Teams. www.datarails.com/platform/ai/. Read 2 November 2026.
  17. Docyt, Docyt | AI-native ERP for Hotels, Restaurants, Retail and Franchises. www.docyt.com/. Read 2 November 2026.
  18. Drivetrain, Drivetrain. www.drivetrain.ai/. Read 2 November 2026.
  19. HighRadius, AI-Driven Automated Cash Application Software. www.highradius.com/product/cash-application-automation/. Read 30 October 2026.
  20. HighRadius, Cash Flow Forecasting Software - Achieve 95% Accuracy with Automation. www.highradius.com/product/cash-flow-forecasting-software/. Read 30 October 2026.
  21. HighRadius, Automated Debt Collection Software. www.highradius.com/product/automated-debt-collection/. Read 30 October 2026.
  22. Jedox, AI for FP&A: Plan the future with JedoxAI Skip to content. www.jedox.com/en/platform/ai/. Read 30 October 2026.
  23. NetSuite, Artificial Intelligence in NetSuite. www.netsuite.com/portal/products/artificial-intelligence-ai.shtml. Read 2 November 2026.
  24. OneStream, AI Financial Planning & Forecasting Software | OneStream. www.onestream.com/ai-planning-forecasting. Read 31 October 2026.
  25. OneStream, AI Account Reconciliation | OneStream. www.onestream.com/sensibleai-account-reconciliations. Read 31 October 2026.
  26. Oracle, Oracle AI for Enterprise Resource Planning. www.oracle.com/erp/ai-financials/. Read 2 November 2026.
  27. Pigment, Super-Specialist Native AI Agents for Business Planning | Pigment. www.pigment.com/ai. Read 31 October 2026.
  28. Planful, Purpose-Built AI for Financial Planning and Intelligence | Planful. planful.com/ai/. Read 31 October 2026.
  29. Ripple Treasury, Treasury AI Agents | Governed, Auditable, Approved. treasury.ripple.com/solutions/ai/treasury-ai-agents. Read 1 November 2026.
  30. Tesorio, Tesorio | AI Information. www.tesorio.com/ai-info. Read 1 November 2026.
  31. Vena, Vena AI for Finance. www.venasolutions.com/vena-ai. Read 1 November 2026.
  32. Cube, AI at Cube: Agentic AI for FP&A Teams. www.cubesoftware.com/ai-at-cube. Read 2 November 2026.
  33. Docyt, Integrations: PMS, POS, Payroll, Banks and Ledgers | Docyt. www.docyt.com/integrations/. Read 2 November 2026.
  34. Pigment, Pigment AI Info Page | Official Company & Product Overview. www.pigment.com/ai-info-about-pigment. Read 31 October 2026.
  35. Planful, Build Accurate Forecasts with Planful AI Projections. planful.com/ai/projections/. Read 31 October 2026.
  36. Tesorio, Tesorio | Agentic Financial Operations. www.tesorio.com/. Read 1 November 2026.
  37. SEC EDGAR, BILL Holdings, Inc., Form 10-K filed 20 August 2026. www.sec.gov/Archives/edgar/data/1786352/000162828026058238/bill-20260630.htm. Read 29 October 2026.
  38. SEC EDGAR, ExlService Holdings, Inc., Form 10-K filed 24 February 2026. www.sec.gov/Archives/edgar/data/1297989/000129798926000008/exls-20251231.htm. Read 29 October 2026.
  39. SEC EDGAR, OneStream, Inc., Form 10-K filed 26 February 2026. www.sec.gov/Archives/edgar/data/1889956/000119312526076771/ck0001889956-20251231.htm. Read 29 October 2026.

Other use cases: Accounts payable, Expense audit, Collections and cash application, Reconciliation, Close automation, Variance analysis, Contract and lease data, Tax research, Treasury and FX, Payment anomalies and fraud, Audit preparation.