Published in September 2025 under the AI in Government Act of 2020 and OMB Memorandum M-25-21, the NCUA AI Compliance Plan describes how the agency governs its own AI use, not how credit unions should. It sets up oversight through the agency's IT, data governance, cybersecurity, and enterprise risk councils, commits to a public AI use case inventory, and lists minimum risk-management practices (documentation, validation, termination of non-compliant systems).
| Document | NCUA AI Compliance Plan (2025) — NCUA Artificial Intelligence Compliance Plan |
| Issued by | National Credit Union Administration |
| Type | Report |
| Status | Final |
| Published | Sep 1, 2025 |
| Applies to | The NCUA's own internal AI use; no obligations for credit unions |
| Official source | ncua.gov ↗ |
| Use cases | AI governance (general) |
What are the key points of NCUA AI Compliance Plan (2025)?
- Required of federal agencies by OMB M-25-21; frequently misread as credit union guidance
- Governance via existing councils: Information Technology, Data Governance, Cybersecurity, Enterprise Risk Management
- Public AI Use Case Inventory maintained by the Office of Business Innovation (Excel and CSV downloads on ncua.gov/ai)
- Barriers acknowledged: limited staff with AI skills, data privacy, vendor transparency
- NCUA's own AI uses (per 2026 testimony): content generation, Call Report anomaly flagging, loan-performance forecasting, risk identification, cybersecurity operations
- Commits to interagency working groups and engagement with the credit union industry on AI policy
What did NCUA AI Compliance Plan (2025) change for banks?
Nothing for credit unions directly. Its relevance is as a signal of how the NCUA itself approaches AI risk (inventory, validation, documented governance), which mirrors what examiners look for at credit unions, and as the source of the agency's AI-officer hiring in 2025-2026.
Does the NCUA AI Compliance Plan apply to credit unions?
No. It covers the NCUA's internal use of AI as required by OMB Memorandum M-25-21. Credit union expectations are on the separate Credit Union AI Resource Center page.
How is the NCUA using AI in supervision?
Per its March 2026 congressional testimony: content generation, flagging anomalies in Call Report submissions, forecasting loan performance, identifying higher-risk credit unions, and cybersecurity operations.
| Date | Document | Status |
|---|---|---|
| Feb 12, 2026 | Hauptman Senate testimony (Feb 2026) — Written Testimony of NCUA Chairman Kyle S. Hauptman before the U.S. Senate Committee on Banking, Housing, and Urban Affairs | Final |
| Jan 14, 2026 | NCUA Letter 26-CU-01 — NCUA's 2026 Supervisory Priorities | In force |
| Aug 1, 2025 | NCUA Credit Union AI Resource Center — Artificial Intelligence (AI) — Credit Union AI Resource Center and AI Resources page | In force |
| Jul 24, 2025 | NCUA Board AI briefing (Jul 2025) — Board Briefing: Artificial Intelligence and Its Use Within the Credit Union Industry and the NCUA | Final |
| Sep 21, 2023 | NCUA Financial Innovation Rule (2023) — Financial Innovation: Loan Participations, Eligible Obligations, and Notes of Liquidating Credit Unions (final rule) | In force |
| May 13, 2022 | NCUA testimony to House AI Task Force (2022) — Written Testimony of Kelly Lay, Director of the Office of Examination and Insurance, before the House Financial Services Task Force on Artificial Intelligence | Final |
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