How Federal Deposit Insurance Corporation uses AI

The FDIC's Division of Finance reports a use case in pre deployment that uses classical machine learning to monitor financials and invoices for proper submittal, duplicate payments and other abnormalities, described as an automated assist for its auditing and monitoring work. For each gap it would show why it was flagged and possible causes, in visual tables with drill downs to contract numbers and agency sections. Not yet live; no results published.

No outcome disclosed.

The FDIC, the US bank deposit insurer and supervisor, is developing AI that extracts data from invoice and contract PDFs and reconciles them, emailing oversight managers a spreadsheet of discrepancies and errors. A separate initiative in its Division of Finance plans AI monitoring of invoices for proper submission and duplicate payments. Both are listed as in development or initiated in the 2024 federal inventory; no results are published.

No outcome disclosed.

The FDIC reported in its 2024 AI inventory a planned assistant for its policy writers: it would check a draft policy against the Plain Language Writing Act for clarity, active voice, concision, jargon and acronyms, and redraft selected sections in plain language. In the 2025 inventory the entry is listed as retired. It is a useful signal that style and consistency checking of internal policy is an early candidate, and that not every initiative reaches production.

No outcome disclosed.