Insurance AI governance, tracked every week: the free dispatch for compliance officers, CROs, and GCs.

U.S. HOUSE · SEP 6, 2026 · Doctors Not AI Act Would Bar AI From Clinical Denials in Employer and Individual Health Plans NAIC · SEP 3, 2026 · NAIC Vendor Registry Draws Eleven Comment Letters, Then a Regulator-Only Revision Round NAIC · SEP 3, 2026 · NAIC Puts a Security Review Between Its Breach Portal and the Executive Committee NAIC · AUG 31, 2026 · NAIC Exposes the AI Risk Evaluation Supplement With Comments Due September 29 NAIC · AUG 31, 2026 · Only One Document on File for the NAIC's Prior Authorization Meeting Mentions AI

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AI Governance · 5 min read

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.

The State Tracker

Which states adopted the NAIC AI model bulletin, which wrote their own rules, and the primary source behind every row.

NAIC AI model bulletin adoption by state: 25 adopted, 4 independent, 22 with nothing issued. Open the tracker for the full table.
Adopted
24 + DC
Own rules
4
None
22

51 jurisdictions · Aug 2026

The Vendor Directory

Which AI vendors sell to insurers, who owns each of them now, and the source behind every line.

Insurance AI vendors
36
AI governance vendors
11

Roster last reviewed Sep 4, 2026

Latest Guides

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AI Governance · AUG 14, 2026 · 7 min read

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.

AI Governance · JUL 31, 2026 · 12 min read

AI Model Monitoring After the Model Goes Live

A playbook for insurers on AI model monitoring, validation, drift detection, and retesting records that satisfy NAIC Model Bulletin and Exhibit C expectations.

From the Glossary

All 87 terms →

Plain-language definitions of the NAIC and insurance AI governance terms we use across the site.

Accelerated Underwriting
A life insurance underwriting process that uses external data and predictive models to classify applicants without medical exams or fluid tests.
Alternative Data
Data not traditionally used in underwriting, such as credit history, driving behavior, or digital signals. Often regulated as ECDIS when applied to consumers.
Consumer Recourse
The rights consumers have to appeal, correct, or contest an AI-influenced insurance decision, a central feature of Colorado SB 26-189 and similar state laws.
Exhibit B
The NAIC AI Evaluation Tool's governance exhibit, answered as a narrative or a checklist, asking where an insurer's framework already covers each listed item.
Governance Committee
A cross-functional group that oversees AI risk, approves deployments, and reviews testing. Must meet regularly and have authority to pause AI systems.
Medical Necessity
Whether a service is clinically warranted enough to be covered. In California and in Medicare Advantage, a licensed clinician has to make that call, not a tool.
NAIC Big Data and AI (H) Working Group
The NAIC group that handles insurance AI. Its page is where the evaluation tool drafts, the bulletin adoption map, and the meeting materials are posted.
Proxy Test
The assessment NYDFS expects on external consumer data: does it correlate with protected-class status, and if so, does a business necessity require it?

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