What an AI Governance Framework Actually Looks Like for an Insurer
How a NIST or ISO-based AI governance framework maps onto an insurer's AIS Program, NAIC Exhibits A to D, and third-party AI.
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 →
How a NIST or ISO-based AI governance framework maps onto an insurer's AIS Program, NAIC Exhibits A to D, and third-party AI.
Texas asks insurers for no written AI program but expects a person to approve consequential AI decisions before they take effect.
How to run and document the NY DFS Circular Letter No. 7 unfair-discrimination tests: which test, who owns it, what to keep.
Insurance AI decision documentation for reconstructing one underwriting or claims outcome, including human review, notice, appeal, and model version.
Producer services AI sits in NAIC Exhibit A. Learn how insurers use AI for lead scoring, producer onboarding, licensing, and product recommendations.
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.
A NAIC-aligned AI vendor risk assessment checklist: a twenty-question due-diligence questionnaire, contract clauses, and the monitoring that stays with the insurer.
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 is New York's AI guidance for insurers: proxy test, three-step assessment and the 15-day notice.
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.
What the NAIC AI Model Bulletin is, how adoption works, what belongs in a written AIS Program, and which implementation guide to use next.