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    Resource Guide for Insurance Compliance Leaders

    Questions to Ask AI Governance Vendors About the NAIC AI Model Bulletin

    Organize vendor questions around the bulletin's expectations: governance, risk management and internal controls, third-party oversight, and documentation and examination readiness. For each, ask the vendor to show a sample evidence record, say where its control sits relative to the AI execution path, and state what remains manual. Credible answers are specific and inspectable. Vague answers cite alignment without artifacts.

    A question set for the RFP and the demo

    • Which AIS Program elements does the product evidence? Show one sample record for each and list what remains manual.
    • Where does each control sit relative to the AI execution path, and what actions can it take before an action completes?
    • What records are created per interaction or tool call, who can access them, and can they be exported for an examiner?
    • Which models, agents, tools, third-party AI systems and coding assistants are covered, and how are unmanaged assets surfaced?
    • What are retention, data residency and deployment options, and what happens to evidence at contract end?
    • How do contract terms address data security and privacy, data sourcing, confidentiality and cooperation with regulators?

    Risk management and internal controls: where does the control sit?

    Documentation-only

    Produces policies, inventories and attestations. Shows intent and structure. Does not show that a control operated on a given interaction.

    Pre-deployment testing

    Evidences behavior at a point in time before release. Does not show what a deployed system was allowed to do on later interactions.

    Observability and after-the-fact review

    Records and analyzes activity once it has happened. Supports detection and investigation, but a violating action may already have completed.

    Runtime enforcement

    Applies policy in the execution path, with actions such as allow, redact, block or escalate for human approval. Evidence is a byproduct of each decision.

    Questions to put to any vendor

    What can the control do to an action before it completes? What happens on failure? Which actions are prevented, and which are only flagged?

    Start with what the bulletin asks insurers to show

    The NAIC adopted the Model Bulletin on the Use of Artificial Intelligence Systems by Insurers on December 4, 2023. It sets out expectations for a written AIS Program that addresses governance, risk management controls and internal audit functions. It also extends that program to third-party AI systems and data, including the insurer's process for acquiring, using or relying on them.

    Adoption happens state by state through individual bulletins, so the dates and text that apply to your carrier or brokerage can differ. Confirm which states govern your business before you write evaluation criteria.

    The bulletin does not prescribe an architecture, and responsibility stays with the insurer. A vendor's statement that its product is aligned with the bulletin therefore proves little by itself. The useful test is whether the vendor's output matches what a regulator may request: the written AIS Program, data governance and controls including lineage and quality practices, techniques, measurements and thresholds, and contracts with third-party AI, model or data vendors.

    The NAIC's AI Systems Evaluation Tool is a second reference point. It was in a 12-state pilot as of March 2026 and is not shown to be a mandate. Its governance exhibit asks for the governance framework, Board reporting frequency, the policy for and oversight of material AI vendors, and model design and testing. Draft your own answers to those items and check whether a vendor's output would support them.

    Governance questions: what does the product evidence, and what is left to you?

    Ask the vendor to name the AIS Program elements it produces evidence for: governance, risk controls, internal audit and third-party oversight. For each one, request a sample record, redacted if necessary. Then ask which elements remain manual. A strong answer is specific. It names the artifact, says what generates it, and states plainly where your team still compiles material by hand.

    A weak answer describes policy templates, a framework library or a dashboard score. Policy documents describe intent. An examiner testing whether the program operates in practice will want records showing what happened.

    Also ask how the product helps you inventory AI assets and identify potentially high-risk models, since the Evaluation Tool asks for that information. Finally, ask whether its reporting can support Board and governance reporting at the frequency your program defines. Confidentiality matters here too. The bulletin protects proprietary and trade secret information, so ask how reports can be shared with governance bodies without exposing vendor internals.

    Third-party oversight: coverage and contract terms

    The bulletin's third-party provisions reach both AI systems developed by others and third-party data used to develop AI systems. Ask which assets the vendor can cover: models, agents, tools, third-party AI systems and coding assistants. Then ask how it surfaces assets it does not manage. A credible answer describes how gaps are detected. A weak answer assumes the customer supplies a complete inventory.

    Check contract terms against the vendor-contract list the bulletin says a regulator may request: representations and warranties, data security and privacy, data sourcing, intellectual property rights, confidentiality and disclosures, and cooperation with regulators. The last item deserves attention. Confidentiality clauses that restrict what you can disclose in an examination can conflict with it. Ask for the vendor's standard position in writing before negotiation.

    Also ask how the vendor supports data lineage and quality practices for any data it handles. A vendor's answer does not replace your own oversight. The bulletin addresses your process for relying on third parties, so the question is whether the vendor makes that process easier to run and to prove.

    Documentation and examination readiness: evidence, retention, residency and deployment

    Evidence is the criterion that separates vendors most clearly. The bulletin does not define record types, retention periods, residency or deployment requirements, so these are buyer criteria. They are reasonable ones for demonstrating that controls operated as designed. Ask what records are created per interaction or tool call. Useful categories include policy decision records, access and tool-call records, human approval records, and the retention and residency settings in force when each record was written.

    Then ask who can access the records, how long they are kept, where they are stored and whether the retention period is configurable. Ask whether the records can be exported in a form an examiner can inspect without vendor assistance. A strong answer includes a sample record set and a documented export path. A weak answer points to a dashboard or promises that evidence is available on request.

    Deployment model matters because it determines where sensitive prompts, outputs and records reside. Ask whether the product runs as a vendor-hosted service or can be self-managed in your own cloud, and how data residency is set. Ask what happens to evidence if the contract ends. Evidence you cannot retrieve later is not durable.

    Vendor evaluation map

    Label: Governance

    Description: Which AIS Program elements the product produces evidence for, and which stay manual.

    Label: Risk management and internal controls

    Description: Where controls sit relative to the AI execution path and what actions they can take.

    Label: Third-party oversight

    Description: Coverage of models, agents, tools and third-party AI systems, plus contract terms.

    Label: Examination readiness

    Description: Records produced, retention, residency, deployment model and export.

    Test the evidence, not the claim

    Bring your AIS Program documentation and vendor shortlist. We can walk through what enforcement in the execution path produces and how that evidence maps to NAIC expectations.

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