1 Record to Report AI Agent, Live in Production.

1 live agent automates record to report within finance. It runs on demand. It publishes the inputs it needs, the steps it works through and what it hands back.

  • Live

    Financial Statement Review

    Review draft statements before they go out — that the primary statements tie to each other, the notes agree with the face, and the disclosures the numbers require are actually there.

Checking that the statements agree with each other before they go out

Reviewing draft financial statements is a task where human attention is structurally mismatched to the work. The errors that matter are almost never within a page — they are between pages. A movement in the cash flow statement that does not agree with the balance sheet, a note whose total differs from the face of the statement it supports, a disclosure that this year’s numbers require but last year’s did not so it was never added to the checklist. Finding those means holding several documents in mind simultaneously and cross-checking dozens of figures, which is exactly the activity that degrades under time pressure and at the end of a long close.

Financial Statement Review does that cross-checking. It tests whether the primary statements tie to each other, whether the notes agree with the face, and whether the disclosures the numbers require are actually present. The last check is the one worth having: disclosure requirements are triggered by the figures, but the working practice is to carry forward the prior year’s note list, so a newly triggered disclosure is missed precisely because nothing prompts it. This is a single agent covering one process, and its output is a list of inconsistencies for the reviewer to resolve — it does not redraft the statements or exercise judgement about materiality.

What this moves

Cross-statement inconsistencies
The primary statements are tested against each other and the notes against the face, catching the disagreement that a page-by-page review reliably misses.
Disclosures the numbers require
Required disclosures are checked against what the figures actually trigger, rather than against last year's note list carried forward.

Finance

How AI agents handle record to report

Drawn from the 1 agent above — what they require, how they run, and what comes back.

What they need

  • Draft financial statements
  • Review settings

What comes back

  • Internally consistent Validation result
  • Review note Written summary
  • Fix before issue Flagged exceptions
  • Cross-checks Table of results
  • Disclosures the numbers require Verification checklist

How they run

Run on demand
1
Steps per run
3
Credits per run
8

Where record to report fits in finance

Matching, reconciling and chasing is high-volume work with very little judgement in it. Moving that to agents is what turns a compressed close into a normal week.

All 43 finance agents

Next Step

Deploying record to report agents

These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.

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