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.
NAIC Model Bulletin
The NAIC Model Bulletin on insurers' use of AI: what it asks for, who has adopted it, and how examiners apply it.
How AI Governance Works in Insurance →Guides & analysis
Who Owns the Evidence in Insurance AI Governance
Insurance AI governance roles as an ownership matrix: which function prepares each piece of NAIC evidence, which one signs it, and who answers for it in an exam.
How Disparate Impact Shapes AI Pricing in Insurance
How proxy variables and outcome differences appear in insurance AI pricing, what testing can establish, and where state-specific procedures belong.
AI in Health Insurance and Who Governs It
A map of AI in health insurance: plan and jurisdiction differences, high-stakes workflows, and the right guide for prior authorization, claims, and risk adjustment.
How Insurers Assess AI Vendor Risk
A NAIC-aligned AI vendor risk assessment checklist: a twenty-question due-diligence questionnaire, contract clauses, and the monitoring that stays with the insurer.
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.