7 Compliance AI Agents, Live in Production.

Financial compliance is usually well documented and unevenly operated. The risk register scores risks by how bad they would be, not by whether the control that mitigates them runs reliably, so attention flows to the large and visible rather than to the quiet failure that nobody would detect. Obligations accumulate the same way: a filing calendar exists, but ownership drifts as people move, and the items with no owner are exactly the ones that slip. Spend policy is checked transaction by transaction, which catches the single large breach and misses the pattern — approvals split into three payments to stay under a threshold look compliant one row at a time. And tax positions rest on judgements that were sound when taken but were never written down, so nobody can reconstruct the reasoning under enquiry.

These agents test operation rather than documentation. Financial Control Risk Assessment ranks control risks by what could go wrong undetected, driven by whether the control actually operates rather than by the register’s score. Regulatory Obligations Tracker holds every filing against its deadline and surfaces the ones with no owner at all. Spend Policy Compliance examines transactions for breaches and for the patterns a single-transaction check cannot see, including approvals split to stay under a threshold. Contract Financial Compliance compares actual charges and receipts against contractual entitlement. Tax Position Review identifies which positions are settled, which rest on an unwritten judgement, and which would not survive an enquiry. Before an audit, Audit Preparation works the request list and separates what will become a finding from what will only be a question, and Regulatory Report Assembly builds the return from the ledger and checks that every figure ties back — because a return that does not reconcile to the accounts is the one that gets asked about.