Can you make compliance a paved road instead of a gate so we can actually deploy AI?
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.”
| 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 |
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.
| For more details see LinkedIn | GitHub |