What to Keep in an Insurance AI Decision Evidence Pack
Insurance AI decision documentation for reconstructing one underwriting or claims outcome, including human review, notice, appeal, and model version.
Vendor oversight
Third-party AI and vendor risk: diligence, audit rights, and ongoing monitoring for the models you license but still answer for.
How AI Governance Works in Insurance →Guides & analysis
AI in Insurance Distribution and the Producer Services Layer
Producer services AI sits in NAIC Exhibit A. Learn how insurers use AI for lead scoring, producer onboarding, licensing, and product recommendations.
How Shadow AI Undermines NAIC Exhibit A
Shadow AI corrupts the counts reported in NAIC Exhibit A. What ungoverned AI use means for insurers, and a practical plan to close the gap.
How Insurers Assess AI Vendor Risk
A practical NAIC-aligned checklist for AI vendor risk assessment: due-diligence questions, contract clauses, and the ongoing monitoring that stays with the insurer.
Colorado Replaces Its AI Act with SB 26-189
Most of Colorado's SB 26-189 waits for January 1, 2027, but one section gave the insurance Commissioner AI disclosure rulemaking power on signing. Where the duties land.
NYDFS Circular Letter No. 7 and the AI Underwriting Proxy Test
What NYDFS Circular Letter No. 7 expects for AI and external data in underwriting and pricing: scope, the proxy test, consumer notice, and vendor audits.
How AI Governance Works in Insurance
A plain-language map of AI governance in insurance: the regulatory stack, the program it expects, and where to go for rules, implementation, and evidence.
Inside the NAIC AI Model Bulletin
What the NAIC AI Model Bulletin is, how adoption works, what belongs in a written AIS Program, and which implementation guide to use next.