No AI Governance or AI Risk Management policy yet? We help you write them. Download these detailed, board-ready policy documents, fill in the bracketed placeholders, and adopt them in your organisation — completely free, no sign-up.
A complete, board-ready master policy for governing AI responsibly across its lifecycle — principles, roles & RACI, an ISO 42001-aligned management system, stage gates, acceptable-use rules and a full regulatory mapping (EU AI Act, NIST, ISO, GDPR, Canada).
A practical, continuous AI risk-management policy — three lines of defence, risk appetite, a 10-category AI risk taxonomy, a 5×5 assessment method, the four-T treatment model, KRIs & thresholds, agentic-AI controls and incident escalation clocks.
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.
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.
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.
These templates are a professional starting point — review and adapt them to your systems, sector and legal advice before adoption. Educational aid, not legal advice.