Focus 04 — AI Governance & Model Risk Management

Can you make compliance a paved road instead of a gate so we can actually deploy AI?


Why this is the fastest-rising board concern

This is the fastest-rising board-level concern, and most carriers are under-resourced on it. Owning AI governance means owning the model inventory, disparate-impact testing, explainability standards, vendor AI risk reviews, and audit-ready documentation aligned to NAIC, Colorado SB21-169, NY DFS Circular Letter 7, and the EU AI Act.

The pitch I bring to a CRO / CCO conversation: “I’ll let you deploy AI faster by making compliance a paved road instead of a gate.”

What I’ve shipped

What’s coming next

Quarter Deliverable
Q2 2026 Insurance AI Governance Digest — monthly newsletter launches
Q3 2026 50-state regulatory tracker (live page) · Governance toolkit v1 (model cards, MRM checklist, bias kit, vendor risk questionnaire)
Q4 2026 Reference disparate-impact testing notebook · Board-ready AI policy template
2027 State of Insurance AI Governance annual report

Market signal I track

NAIC AI(H) Working Group bulletins · NIST AI RMF + crosswalks · FTC AI guidance · Colorado SB21-169 · NY DFS Circular Letter 7 · Connecticut, California, Illinois, Washington state DOI activity · EU AI Act implementation guidance · UK FCA · Canadian OSFI E-23 · NAIC Big Data Working Group · ACORD AI Working Group · Triple-I, CAS · McKinsey, Deloitte, EY, KPMG, MMC, WTW, Aon governance whitepapers.

Success metrics


For more details see LinkedIn GitHub