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AI Governance & Risk for Financial Services

Banks, lenders, insurers and broker-dealers must govern AI models under decades-old model-risk and fair-lending regimes — plus the new AI-specific layer. autogovern.io maps the finance rules to your systems, tests fairness and drift, and generates the policies and evidence examiners expect.

Who it's for

Banks (over and under $30B), credit unions & lenders, life/health & property/casualty insurers, broker-dealers & investment advisers, and fintech / model vendors selling into regulated firms.

The regimes we cover

US banking — model risk

SR 26-2 (Apr 2026, supersedes SR 11-7). Model inventory, tiering, independent validation. Supervised ML in scope; GenAI/agentic out of scope; banks over $30B.

US control framework

Treasury/CRI FS AI RMF (Feb 2026, ~230 control objectives) operationalising the NIST AI RMF for finance, crosswalked to SR 26-2.

US fair lending

ECOA / Reg B §1002.9 specific-reason adverse-action notices + FCRA. Keep disparate-impact testing (contested under ECOA; still live under the Fair Housing Act, DOJ and state law).

US insurance

NAIC AI Systems (AIS) Program; NY DFS Circular 7 and Colorado SB 21-169 require proxy / bias testing in underwriting & pricing.

US markets

SEC Rule 15c3-5 pre-trade controls for algorithmic/AI order flow; Advisers Act "AI-washing" enforcement; FINRA Notice 24-09.

European Union

AI Act high-risk credit scoring (Annex III 5(b)) & life/health insurance pricing (5(c)) — application ~2 Dec 2027 + mandatory FRIA; DORA (since Jan 2025); GDPR Art. 22.

United Kingdom

PRA SS1/23 model risk management; FCA Consumer Duty — assess and avoid foreseeable harm from AI before deployment.

Canada / APAC

Canada OSFI Guideline E-23 (eff. 2027); Singapore MAS FEAT + AI model-risk paper; Hong Kong HKMA GenAI circular.

Free finance policy templates

Detailed, ready-to-use documents — fill in the bracketed placeholders and adopt them.

AI/ML Model Risk Management Policy (Financial Services)

A finance model-risk policy for banks, lenders and insurers — model inventory & materiality tiering, the full validation lifecycle (conceptual soundness, outcomes analysis, ongoing monitoring), effective challenge, vendor models and AI/ML-specific controls. Aligned to SR 26-2, OSFI E-23, PRA SS1/23, MAS and the Treasury/CRI FS AI RMF.

Aligned to: SR 26-2 · OSFI E-23 · PRA SS1/23 · FS AI RMF

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Fair Lending & Adverse-Action Procedure (AI Credit)

A procedure for AI/ML credit decisions — specific-reason adverse-action notices (ECOA/Reg B §1002.9, FCRA), reason-code & counterfactual explanations, and fair-lending / disparate-impact testing with the current jurisdiction caveats. Includes a ready-to-use adverse-action notice template.

Aligned to: ECOA/Reg B · FCRA · Fair Housing Act · EU AI Act 5(b)

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Insurance AI Systems (AIS) Program

A NAIC-aligned AI Systems Program for insurers — governance & accountability, lifecycle risk controls, third-party/vendor management, and testing for unfair discrimination (proxy/bias testing per NY DFS and Colorado). Documentation ready for market-conduct examination.

Aligned to: NAIC Model Bulletin · NY DFS CL7 · CO SB 21-169 · EIOPA

Download .docx Read online →

Educational aid, not legal advice. Finance AI regulation moves quickly — verify current status for your jurisdiction and entity type.