Audit-grade financial agent with decision assurance controls
Build an agent that performs a financial test procedure (e.g. bank reconciliation: comparing the client's book cash balance against the bank's balance, explaining differences via reconciling items like deposits in transit and outstanding checks) but is designed so an experienced human auditor new to the work can follow and re-verify every decision the agent made. The bar is not correctness but demonstrable defensibility: an inspection can ask, for any specific procedure and piece of evidence, how the decision was reached.
online B2B Service / Consulting / Agency
From AI Engineer — Your Financial Agent Needs to Show Its Work - Anirudh Veeraragavan, Fieldguide at 00:41
Problem: An agent can reach the right answer, but if it can't show how — with per-step replay, versioned citations, and verified eval data — the answer is indefensible when the work is selected for inspection, and financial fraud cases (a brokerage claiming $200M on paper against $5M at the bank for 20 years) show the consequences of being wrong are severe.
For: Audit firms and financial institutions (credit, AML) where an agent's decision must survive third-party inspection; the enterprise teams buying agentic audit tooling.
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Examples
- Bank reconciliation for a client: ~$2.9M per the bank vs ~$2.7M on the books, difference explained by 41 reconciling items, with the agent matching checks and deposits against evidence for human sign-off
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