Best AI for CFOs

Research notes on AI in finance work, by task

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

2of 12 workpapers

Accounts payable invoice capture and coding

What do AI products in accounts payable extract, code and approve, and where must a person still sign?

Published . Vendor pages read 29 October 2026.

Where AI products read invoices, suggest GL coding and route approvals in accounts payable, the controls a person keeps, and questions for a vendor.

Products listed
19
Makers in the SEC ticker file
3
Filing excerpts
5
Notes
35

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
2Accounts payable212212112

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
2Accounts payable7 of 1910 of 1910 of 19

1The work

AI products in accounts payable read invoices, propose the general ledger coding and route each invoice for approval; a person still approves payment and owns the vendor master. The makers in this note apply language and vision models to capture invoice data, learn coding from the company's own history, match invoices to purchase orders and receipts, and flag changes that look like fraud.

The work runs from receipt to payment. Invoices arrive as PDFs, e-invoices, paper and portal uploads. Someone checks that the supplier exists in the vendor master, that the invoice is not a duplicate, that the amounts agree with the purchase order and the goods receipt (the three-way match), and that the coding is right for the expense and the entity. Invoices without a purchase order need coding from scratch and an approver who knows the spend. Then the payment run is assembled, approved and released.

Most of the effort sits in exceptions: a price that does not match, a missing receipt, a new supplier, a changed bank account, an invoice for the wrong entity. That is where AI is sold and where judgment is needed. A person must stay in the loop for approval of spend, for any change to supplier bank details, and for release of payment. Segregation of duties (the person who sets up a vendor does not approve its invoices or release its payments) does not change because a model suggested the coding.

Supplier onboarding is a control point of its own. The IRS describes TIN Matching as a service that "is only for payers and their authorized agents that submit information returns,"1 and many AP teams use it to check a supplier's taxpayer identification before payment.

2Where AI is applied

Makers describe capture of header and line data from PDFs and emails, coding suggestions learned from past invoices, approval routing that follows the company's rules, and checks on vendor payment details. Several say a person sees the reason behind a recommendation before accepting it.

Exhibit 2.1.What the makers say, in their words, alphabetical by maker

  • Its AI agents take over that transactional work end-to-end, operating inside a company’s existing ERP and finance systems under the controls the finance team defines.8
    Auditoria.AI, Auditoria AI agents
  • Eliminate the complexity from non-PO invoice processing with InvoiceAI , a fully embedded AI framework built into Basware’s AP automation platform.9
    Basware, InvoiceAI, SmartCoding, SmartPDF
  • Catch anomalies, suspicious bill variances, and potential fraud before money moves out the door.10
    BILL, AI in BILL
  • Reduce risk with AI-powered fraud detection and out-of-the-box compliance automation, save time with PO matching, and optimize cash flow.11
    Coupa, Coupa AI, Coupa Navi agents
  • Within Esker solutions, GenAI is effectively used to summarize communications, generate responses, and recommend next steps across finance and customer service workflows.13
    Esker, Synergy AI, Synergy Agents
  • Eliminate manual tasks with automated data extraction, GL coding, bill approvals & payments, accruals, prepaid amortizations, and more.14
    Glean.ai, Glean.ai accounts payable
  • Agents work together, validating decisions, handling exceptions, and escalating to each other, or when needed, to a human.15
    Hypatos, Hypatos GBS Agents
  • Anomaly and fraud detection, including AI-generated receipts16
    Medius, Medius AI, Medius Copilot
  • 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.17
    NetSuite, NetSuite Bill Capture, NetSuite Exception Management, NetSuite Narrative Reporting, NetSuite Planning and Budgeting
  • 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/payment18
    Oracle, Payables Agent, Ledger Agent, Account Reconciliation Agent, Planning Agent, Narrative reporting
  • The Ottimate AI works across the entire AP process – from invoice coding, routing, & approval, all the way through payment.19
    Ottimate, Ottimate AI
  • Let the agent handle low-risk and routine approvals. Any risky or ambiguous transactions are flagged to you, fast.20
    Ramp, Ramp Intelligence, Ramp agents
  • Our AI agents read documents, capture, validate, and transform data, send emails, ask for approval, write data to your ERP21
    Rossum, Rossum AI agents
  • Rydoo’s AI agents and assistants strengthen your control, take on real work and increase productivity across your expense management and accounts payable processes.22
    Rydoo, Rydoo Intelligence
  • The Close agent accelerates month-end close by tracking tasks, flagging issues, and guiding your team to close confidently.23
    Sage, Close agent, Financial Assurance agent, AP Automation agent, Finance Intelligence agent
  • Billy learns your coding patterns and applies them across your ERP fields.24
    Stampli, Billy, Stampli AI
  • Tipalti Accounts Payable embeds AI from invoice capture to ERP sync and reconciliation.25
    Tipalti, Tipalti AI, AP Agent, Tipalti Detect
  • VicAgents™ are intelligent, task-specific AI agents trained to execute the structured work your team handles every day27
    Vic.ai, VicAgents, Victoria
  • Automate PO and invoice management with AI to eliminate manual work and drive more spend under management28
    Zip, Superagents, Intake-to-Pay AP automation

Source: the makers' own pages, read 29 October 2026; notes 8 to 28.

3Limits and control questions

Coding suggestions learned from history repeat history, including its mistakes. Ask how the product treats a coding pattern that a controller has decided to change, and how quickly it stops suggesting the old one.

For a listed company, any automated step that feeds the financial statements sits inside internal control over financial reporting, which management must evaluate and report on; the SEC's interpretive guidance for that report is Release 33-8810.2 COSO describes its Internal Control, Integrated Framework as originally issued in 1992 and refreshed in 2013.3

Invoice and payment fraud increasingly uses convincing documents and voices. FinCEN has issued an alert on fraud schemes involving deepfake media that target financial institutions.4 A model that reads an invoice well is not a control over whether the invoice is genuine.

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."5 Its first version is published as NIST AI 100-1.6

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)."7 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

Exhibit 2.2.Filers on their own finance work

Companies describing AI in their own operations, from their SEC filings. A filing is not evidence that the filer uses any product on this page unless it names one.

  • For example we use AI Technologies to optimize our internal processes, including, but not limited to, analyzing and processing receipts, bills, and invoices, responding to customer support requests, and drafting personalized marketing communications.33
    Expensify, Inc. (EXFY), Form 10-K filed 26 February 2026
  • In accounting and finance, we are developing AI agents intended to automate invoice processing, reconciliation, residual calculations, expense categorization and routine financial close activities.34
    OLB GROUP, INC. (OLB), Form 10-Q filed 14 August 2026

Source: SEC EDGAR full-text search; notes 33 to 34.

Exhibit 2.3.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 recently launched BILL AI, including our first suite of AI agents, which are designed to simplify and accelerate SMB workflows, including W-9 filings, customer support and assistance, touchless transactions, automatic reconciliations and complex invoice coding.31
    BILL Holdings, Inc. (BILL), Form 10-K filed 20 August 2026
  • Audit resolution Workflow supported by AI utilizing our contract management platform as the primary data source.32
    CASS INFORMATION SYSTEMS INC (CASS), Form 8-K filed 23 April 2026
  • Our P2P solution also records receipt of goods and invoices and performs AI-based three-way matching.35
    XBP Global Holdings, Inc. (XBP, XBPEW), Form 10-K filed 31 March 2026

Source: SEC EDGAR full-text search; notes 31 to 35.

5Products

Exhibit 2.4.Products addressing accounts payable invoice capture and coding, by the data they name

19 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. Auditoria AI agentsAuditoria.AIData it names: not stated.Where a person reviews: quoted.Model or data handling: quoted.
    Our summary
    AI agents for transactional finance work such as invoice processing and collections outreach, run inside the customer's ERP. The maker says agents follow the approval and segregation-of-duties rules the finance team configures.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    agents operate within the approval hierarchies and segregation-of-duties rules a customer’s finance team configures, with human review required for exceptions
  2. InvoiceAI, SmartCoding, SmartPDFBaswareData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI features inside an AP automation platform for capturing, coding and routing invoices that have no purchase order. The maker says coding suggestions are trained on the customer's own invoice history.
    Data it names (our list)
    Emailed PDF invoices, Historic invoice data
    Where a person reviews (quoted)
    Not stated on the pages read.
  3. AI in BILLBILLData it names: not stated.Where a person reviews: quoted.Model or data handling: quoted.
    Our summary
    AI features across an AP and AR platform for smaller and mid-sized businesses, including anomaly and fraud checks on bills. The maker says the customer keeps final decisions.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    while keeping final decision-making power.
  4. Coupa AI, Coupa Navi agentsCoupaData it names: not stated.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI in Coupa's spend management platform for detecting fraud, policy violations and supplier risks, including AI-powered fraud detection and PO matching in accounts payable. Coupa Navi agents retrieve documents, speed approvals and answer questions.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  5. Synergy AI, Synergy AgentsEskerData it names: not stated.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AI agents and generative AI across finance, procurement and customer service workflows, including summarising communications and recommending next steps. The maker says responses are grounded in business data by retrieval.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  6. Glean.ai accounts payableGlean.aiData it names: not stated.Where a person reviews: not stated.Model or data handling: not stated.
    Our summary
    AP software that extracts invoice data, suggests GL coding and analyses vendor spend. The maker also lists accruals and prepaid amortisation among the tasks it automates.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  7. Hypatos GBS AgentsHypatosData it names: quoted.Where a person reviews: quoted.Model or data handling: quoted.
    Our summary
    AI agents for shared-service transaction work such as invoice processing, order confirmations and delivery notes. The maker says agents escalate to a human when needed and record their reasoning.
    Data it names (our list)
    SAP, Workday, Coupa, xSuite
    Where a person reviews (quoted)
    or when needed, to a human.
  8. Medius AI, Medius CopilotMediusData it names: not stated.Where a person reviews: not stated.Model or data handling: not stated.
    Our summary
    AI across AP for invoice capture, coding, supplier questions and payment batches, with anomaly and fraud checks. The maker says payment batch recommendations carry a reason and source.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  9. 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.
  10. 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.
  11. Ottimate AIOttimateData it names: quoted.Where a person reviews: not stated.Model or data handling: quoted.
    Our summary
    AP automation with AI for invoice coding, routing, approval and payment. The maker names the accounting systems it connects to.
    Data it names (our list)
    QuickBooks, NetSuite, Acumatica, Sage Intacct
    Where a person reviews (quoted)
    Not stated on the pages read.
  12. Ramp Intelligence, Ramp agentsRampData it names: quoted.Where a person reviews: quoted.Model or data handling: quoted.
    Our summary
    AI agents in a spend management platform that code expenses, enforce policy and approve routine transactions. The maker says risky or ambiguous items go to a person.
    Data it names (our list)
    Expense policy, Controls
    Where a person reviews (quoted)
    Any risky or ambiguous transactions are flagged to you, fast.
  13. Rossum AI agentsRossumData it names: not stated.Where a person reviews: quoted.Model or data handling: not stated.
    Our summary
    Document processing agents that read invoices and other paperwork, validate the data and write it to the ERP. The page says Coupa has acquired Rossum.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    ask for approval
  14. Rydoo IntelligenceRydooData it names: not stated.Where a person reviews: quoted.Model or data handling: not stated.
    Our summary
    Expense management and accounts payable software with AI agents and assistants. The maker says its AI handles routine work and flags decisions that need judgement.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    AI that handles routine work and flags judgement calls
  15. Close agent, Financial Assurance agent, AP Automation agent, Finance Intelligence agentSageData it names: not stated.Where a person reviews: quoted.Model or data handling: not stated.
    Our summary
    AI agents in Sage Intacct that track month-end close tasks, flag unusual journal entries and code and match incoming bills. The maker says agents work within the customer's controls with human approval.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Agents work within your controls, with human approval required.
  16. Billy, Stampli AIStampliData it names: quoted.Where a person reviews: quoted.Model or data handling: not stated.
    Our summary
    An AI assistant in procure-to-pay software that codes invoices, checks lines, routes approvals and flags changed vendor payment details. The maker says humans confirm what it suggests.
    Data it names (our list)
    Sage Intacct, Oracle NetSuite, SAP, Microsoft Dynamics, Acumatica, Sage, QuickBooks, Dealertrack
    Where a person reviews (quoted)
    Billy follows your approval rules and calls attention to exceptions that need judgment.
  17. Tipalti AI, AP Agent, Tipalti DetectTipaltiData it names: quoted.Where a person reviews: quoted.Model or data handling: quoted.
    Our summary
    AI in AP software from invoice capture to ERP sync, with field-level reasoning for recommendations, and a payee fraud screening feature. The maker says customer data does not train third-party models.
    Data it names (our list)
    ERP accounting data
    Where a person reviews (quoted)
    Understand recommendations with field-level reasoning before accepting them
  18. VicAgents, VictoriaVic.aiData it names: not stated.Where a person reviews: not stated.Model or data handling: not stated.
    Our summary
    Task-specific AI agents for AP work, including an agent-run AP inbox. The maker says the agents are trained on finance workflows.
    Data it names (our list)
    Not stated on the pages read.
    Where a person reviews (quoted)
    Not stated on the pages read.
  19. Superagents, Intake-to-Pay AP automationZipData it names: quoted.Where a person reviews: quoted.Model or data handling: not stated.
    Our summary
    Procurement and accounts payable software with configurable AI agents, which the maker calls Superagents. The maker says customers set when a person must approve an agent's action.
    Data it names (our list)
    Slack, Microsoft Teams, Email
    Where a person reviews (quoted)
    Dictate what actions agents can take and when human-in-the-loop approvals are required so teams stay in control of high-impact decisions.

Source: the makers' own pages, read 29 October 2026; notes 8 to 30.

6Questions to put to a vendor

  1. Which fields does the product extract at header and line level, and how is a low-confidence field shown to the reviewer?
  2. Does it learn coding from our history only, or from other customers' data as well?
  3. How are duplicates detected across vendors, entities and invoice numbers that differ by a character?
  4. Who can change vendor bank details, and what does the product do when an invoice carries new payment instructions?
  5. Can the product approve or release anything on its own, and can we switch that off per entity and per amount?
  6. Is every suggestion the user accepts or overrides logged with the user and the time?
  7. Which ERPs does it post to, and does it post journals or only pass data for a person to post?
  8. What evidence can it produce for our auditors on how coding and approvals were decided?

Notes

  1. Internal Revenue Service, Taxpayer Identification Number (TIN) Matching. www.irs.gov/tax-professionals/taxpayer-identification-number-tin-matching. Read 29 October 2026.
  2. U.S. Securities and Exchange Commission, Commission Guidance Regarding Management's Report on Internal Control Over Financial Reporting, Release 33-8810. www.sec.gov/rules/interp/2007/33-8810.pdf. Read 29 October 2026.
  3. COSO, Internal Control, Integrated Framework. www.coso.org/guidance-on-ic. Read 29 October 2026.
  4. Financial Crimes Enforcement Network, FinCEN Alert on Fraud Schemes Involving Deepfake Media Targeting Financial Institutions. www.fincen.gov/sites/default/files/shared/FinCEN-Alert-DeepFakes-Alert508FINAL.pdf. Read 29 October 2026.
  5. National Institute of Standards and Technology, AI Risk Management Framework. www.nist.gov/itl/ai-risk-management-framework. Read 29 October 2026.
  6. 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.
  7. 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.
  8. Auditoria.AI, Auditoria.AI AI Information – Official Source for AI Models. www.auditoria.ai/ai-information/. Read 29 October 2026.
  9. Basware, InvoiceAI for Non-PO Invoice Automation. www.basware.com/en/solutions/ap-automation/invoiceai-for-non-po-invoice-automation. Read 29 October 2026.
  10. BILL, Increase Efficiency & Accuracy with AI in BILL. www.bill.com/product/ai. Read 29 October 2026.
  11. Coupa, AI-Native Agentic Spend Management Platform. www.coupa.com/platform/. Read 2 November 2026.
  12. Coupa, Discover the Coupa AI Difference. www.coupa.com/platform/ai/. Read 2 November 2026.
  13. Esker, Agentic AI in Finance | Esker Synergy AI. www.esker.com/technology/artificial-intelligence/. Read 3 November 2026.
  14. Glean.ai, Glean.ai | Accounts Payable Spend Intelligence. www.glean.ai/. Read 3 November 2026.
  15. Hypatos, AI Agents - the Digital Workers of Your GBS Workforce | Hypatos. www.hypatos.ai/agents. Read 30 October 2026.
  16. Medius, Autonomous Accounts Payable | Medius. www.medius.com/ai-innovation/autonomous-accounts-payable/. Read 30 October 2026.
  17. NetSuite, Artificial Intelligence in NetSuite. www.netsuite.com/portal/products/artificial-intelligence-ai.shtml. Read 2 November 2026.
  18. Oracle, Oracle AI for Enterprise Resource Planning. www.oracle.com/erp/ai-financials/. Read 2 November 2026.
  19. Ottimate, Ottimate Copilot | AI for AP Automation. ottimate.com/feature/ai-in-finance/. Read 31 October 2026.
  20. Ramp, 10X your team's impact with AI for finance | Ramp Intelligence. ramp.com/intelligence. Read 31 October 2026.
  21. Rossum, AI agents for paperwork Go to the content | Go to main menu. rossum.ai/ai-agents-for-paperwork/. Read 1 November 2026.
  22. Rydoo, Rydoo | Expense Management & AP Automation. www.rydoo.com/. Read 2 November 2026.
  23. Sage, Sage Intacct. www.sage.com/en-us/sage-business-cloud/intacct/. Read 2 November 2026.
  24. Stampli, AI for Procure-to-Pay Automation | Billy by Stampli. www.stampli.com/ai/. Read 1 November 2026.
  25. Tipalti, Tipalti AI | AI Agents for Finance Teams. tipalti.com/accounts-payable-software/finance-ai/. Read 1 November 2026.
  26. Tipalti, Payment Fraud Detection Software: Strengthen Your Defense. tipalti.com/accounts-payable-software/payment-fraud-detection/. Read 1 November 2026.
  27. Vic.ai, VicAgents™ | Agentic AI for Finance Task Execution | Vic.ai. www.vic.ai/vic-agents. Read 29 October 2026.
  28. Zip, AI for Procurement | Zip AI Procurement Platform. zip.com/. Read 2 November 2026.
  29. Zip, AI that runs procurement for you - Zip. zip.com/capabilities/superagents. Read 2 November 2026.
  30. Stampli, AI Information - Stampli. www.stampli.com/ai-information. Read 1 November 2026.
  31. 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.
  32. SEC EDGAR, CASS INFORMATION SYSTEMS INC, Form 8-K filed 23 April 2026. www.sec.gov/Archives/edgar/data/708781/000070878126000020/investorpresentation2026.htm. Read 29 October 2026.
  33. SEC EDGAR, Expensify, Inc., Form 10-K filed 26 February 2026. www.sec.gov/Archives/edgar/data/1476840/000147684026000009/exfy-20251231.htm. Read 29 October 2026.
  34. SEC EDGAR, OLB GROUP, INC., Form 10-Q filed 14 August 2026. www.sec.gov/Archives/edgar/data/1314196/000118518526003553/olbgroup10q063026.htm. Read 29 October 2026.
  35. SEC EDGAR, XBP Global Holdings, Inc., Form 10-K filed 31 March 2026. www.sec.gov/Archives/edgar/data/1839530/000110465926037421/xbp-20251231x10k.htm. Read 29 October 2026.

Other use cases: Forecasting, 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.