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The Audit-Bearing AI Standard

A framework for P&C carriers adopting AI in regulated claims work — how to deploy AI on the work that affects regulated outcomes without giving up the evidence trail.

A perspective from Velerian, PBC · June 2026 · ~15 min read

A P&C carrier in 2026 has two facts to reconcile. Regulators have moved from observation to active examination — the NAIC AI Model Bulletin is adopted in 24 states plus DC, and the NAIC AI Systems Evaluation Tool gives examiners a structured way to inspect carrier AI governance during market conduct reviews. At the same time, the claims work AI can usefully do — coverage interpretation, governed denial drafting, fair-claims-handling review, fraud screening — is exactly the work where decisions must withstand outside scrutiny.

The tools marketed to claims operations today were designed before the examination infrastructure existed. They generate decisions; they do not generate the defensible record of how each decision was made. This paper proposes the audit-bearing AI standard: which claims work AI should do, and how the evidence trail must be structured to satisfy the examination regime forming now.

The five-question adoption framework

The questions a carrier should be able to answer before adopting an audit-bearing AI tool — and the questions an examiner will ask.

  1. What slice of claims work are we evaluating? Separate the audit-bearing slice from supporting tasks; the governance bar is materially higher.
  2. What evidence does this tool produce per decision? Model documentation, decision provenance, bias monitoring, an NAIC-aligned record — as an artifact, not a promise.
  3. Who controls the governance stack? Embedded in a core-system vendor, or a layer the carrier controls.
  4. How does it work with our claims-handling manual and state-specific guidelines? Generic AI does not satisfy state-specific UCSPA requirements.
  5. What is our remediation path when something goes wrong? Inspect, correct, override, and document — per the NAIC bulletin's remediation provisions.
The shift: adoption → accountability The audit-bearing slice The regulatory landscape The current vendor landscape A framework for adoption What governance-first means

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