AI agent blueprints for Finance.
Evidence-linked finance workflows that prepare reconciliations and proposals without posting or moving money autonomously. Each pattern defines the evidence it reads, the artifacts it produces, the authority it may exercise, and the human who makes the consequential decision.
Accounting, FP&A, accounts payable, receivables, and finance operations teams
finance owner
private · read/propose · human-gated
Nine jobs with a crisp acceptance test.
These are implementation patterns, not generic “AI for Finance” pages. Open one to see its exact trigger, topology, grants, approval boundary, failure modes, and KPI.
Invoice exception review
Compare an invoice exception with purchase, receipt, and policy evidence and prepare a resolution recommendation.
invoice exception cycle time
Expense policy review
Evaluate an expense packet against the applicable policy and prepare a cited decision for a human approver.
expense review touch time
Month-end reconciliation support
Compare ledger and subledger evidence, identify unmatched items, and prepare a reconciliation packet for sign-off.
close reconciliation completion
Cash application review
Match a payment export to open receivables and prepare proposed applications with confidence and exceptions.
unapplied cash age
Collections prioritization
Rank overdue accounts using approved balance and engagement signals and draft a reviewer-controlled outreach queue.
overdue balance age
Vendor payment verification
Assemble beneficiary, approval, invoice, and change evidence into a pre-payment verification packet.
payment batches with complete evidence
Forecast variance analysis
Decompose actual-versus-forecast differences and prepare driver hypotheses with traceable supporting data.
unexplained forecast variance
Revenue close support
Organize approved contract, delivery, and billing evidence into a reviewer packet without making accounting judgments autonomously.
revenue exception aging
Finance audit sample packet
Collect the approved records for an audit sample, index them, and identify missing evidence before reviewer release.
audit sample first-pass acceptance
The workflow is autonomous. The authority is not.
- 01
Attach evidence
Put only this case’s approved inputs in a scoped workspace.
- 02
Run specialists
Each bounded node produces an artifact the next node can challenge.
- 03
Stop at proposal
External writes stay outside the agent’s default authority.
- 04
Record the decision
Keep the human approval as a decision record beside the signed evidence from the agent run.
Pick one expensive, inspectable job.
Start with real evidence, a named decision owner, and a measurable result. Expand the agent only after the receipt and acceptance test prove the workflow holds.