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AI Governance Documents to Prepare for a Market Conduct Exam

The insurance AI exam documentation to have ready for a market conduct exam: an insurer-built readiness file of eight evidence categories, and how to record a gap.

For For compliance officers, CROs, and legal teams at insurers who have received an exam notice or expect one.

Read if You have a market conduct exam coming and need to know what AI documentation to pull, who owns it, and what to do when you cannot produce it.

By Simon Li · Updated AUG 4, 2026 · 10 min read

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Engraved cover illustration: AI Governance Documents to Prepare for a Market Conduct Exam
Ask AI

A market conduct exam notice does not arrive with a syllabus. It arrives with a date, a scope, and a list of document requests that may or may not use the word AI. The NAIC AI Model Bulletin still places an insurer’s AI use inside the market conduct machinery the regulator already runs. It says the department may ask for the AIS Program, model documentation, and vendor files 1. The Evaluation Tool then shows the shape those questions take on paper 2.

Market conduct examinations are the state’s standing mechanism for inspecting how an insurer actually treats consumers, run by the departments under the NAIC’s Market Regulation Handbook 3. If the process itself is new to you, what a market conduct exam is and how it runs covers the triggers, the sampling, and the timeline; this piece assumes it and goes straight to the AI files. AI did not get its own proceeding. It got folded into that one. So the useful question is narrow: name the eight files, name who in the building can produce each, and name what happens on the ones nobody can. For the wider governance program these documents sit inside, see our AI governance in insurance guide.

The exam sequence

A market conduct exam follows a recognizable sequence, but no national timetable governs the phases below. This is an InsureAI Wire planning model. The department’s notice, scope, and instructions control the actual dates and deliverables.

Planning sequence, owners, and deliverables for an AI-focused market conduct examination
PhasePlanning cueKey actionOwnerDeliverable
Exam notice receivedImmediatelyLog receipt, acknowledge to regulator, open exam fileCompliance officerAcknowledgment letter + internal exam file
Kickoff callAfter initial reviewConfirm scope, document requests, timeline, contactsCompliance + legalKickoff minutes + confirmed document list
Document collectionAfter scope is confirmedPull AIS Program, inventories, validation records, vendor contractsCompliance + IT + actuarialDocument index with Bates numbers
Internal reviewBefore submissionGap check against the request and applicable authoritiesCompliance + legalGap list with owners and remediation dates
SubmissionBy the department’s deadlineDeliver documents, log transmittal, confirm receiptCompliance officerTransmittal letter + delivery confirmation
On-site or interviewIf requestedPrepare witnesses, run mock interviews, document Q&ACompliance + business leadsInterview prep memo + Q&A log
Findings responseAfter findings issueDraft response and corrective action plan if neededLegal + compliance + CROResponse letter + CAP

The worksheet below mirrors this table with editable columns for your own deadlines and owners.

The exam sequence in seven phases: notice, kickoff, document collection, internal review, submission, interviews if requested, and findings response. The department sets the dates. START EXAM NOTICE RECEIVED OWNER: COMPLIANCE OFFICER NEXT KICKOFF CALL OWNER: COMPLIANCE + LEGAL COLLECT DOCUMENT COLLECTION OWNER: COMPLIANCE + IT + ACTUARIAL REVIEW INTERNAL REVIEW OWNER: COMPLIANCE + LEGAL SUBMIT SUBMISSION OWNER: COMPLIANCE OFFICER IF ASKED ON-SITE / INTERVIEW OWNER: COMPLIANCE + BUSINESS LEADS RESPOND FINDINGS RESPONSE OWNER: LEGAL + COMPLIANCE + CRO
FIG. 1: A PLANNING SEQUENCE, NOT A REGULATORY TIMETABLE

An eight-part readiness file

We organize AI exam readiness into eight evidence categories: the written AIS Program and its adoption record, the AI system inventory, high-risk system documentation, data records, vendor contracts and due diligence, consumer notices and complaint records, governance minutes, and incident or override records. This is a preparation framework assembled from the Model Bulletin and Evaluation Tool. It is not a uniform request list, and an examiner may ask for fewer, more, or different materials.

Items 3 and 4 line up with the Evaluation Tool’s Exhibits C and D, the closest published list of what a regulator may ask about a model. Item 2 is the register needed to answer Exhibit A’s counts 2. The remaining categories come from the Model Bulletin’s program requirements, including its call for inventories and descriptions of the models themselves 1. Every one of them is something a person can hold in hand and read a date off.

Eight documentation items and the signs that each is examination-ready
#Documentation itemWhat the examiner seesWhat counts as solidGap sign
1AIS Program documentA written AI Systems Program with adoption date, review frequency, and board approvalDated minutes showing board or committee adoption; annual review entriesUndated document, or one with no review history
2AI inventory (feeds Exhibit A)A list of every AI system, with operational area, owner, vendor flag, and last validation date. Exhibit A itself asks only for counts by operational area: but you cannot produce the counts without the listEach entry has a named owner and a validation date inside your stated revalidation intervalSystems listed without owners, or validation dates with no interval to measure them against
3High-risk system documentation (Exhibit C)Per model: name and version, type, implementation date, built or bought and by which vendor, risk classification, known risks and limitations, whether it automates or only supports, how it was validated and is monitored, last test date, and any regulatory action taken over itDated validation reports, bias and unfair-discrimination test results, a last-testing date that is not years oldValidation reports with no dates, or bias testing that says “N/A”
4Data records (Exhibit D)Not a free-text lineage narrative: a fixed list of data-element categories: age, gender, ethnicity/race, geocoding, geo-demographics, education, income, criminal convictions, facial analysis and the rest: where you mark which ones feed your models and whether each came from inside the company or from a named third partyA defensible answer for every category you checked, and a data dictionary behind itData sources listed as “various internal systems” with no further detail
5Vendor contracts and due diligenceContracts with audit rights, model documentation clauses, monitoring provisionsSigned contracts with specific AI audit clauses; due-diligence files with datesContracts signed before AI was added, with no amendment covering AI
6Consumer notice and complaint logRecords of AI-related consumer disclosures and any complaints or appealsNotice templates, mailing or portal logs, complaint register with AI flagNo AI-specific complaint category, or complaints handled in general queue only
7Governance meeting minutesMinutes from AI governance committee or risk committee meetingsDated minutes with AI agenda items, attendance, and action itemsMinutes with no AI items, or attendance that does not include the model owner
8Incident and override logRecords of AI incidents, near-misses, and human overridesDated entries with root-cause analysis and remediationEmpty log, or entries that say “no issues found” without detail

Rows 2 and 3 are the two that get pulled first, and each is a whole exercise on its own: row 2 rests on the inventory built in our Exhibit A inventory playbook, and the validation and drift records behind row 3 in the AI model monitoring playbook.

They also need a number you have to supply yourself. Row 2 turns on a revalidation interval and row 3 on how often bias testing repeats, and neither the Model Bulletin nor the Evaluation Tool sets one. Annual is a common working assumption for models that shape pricing or claims, but it is an example, not an authority. The interval is yours to set and defend, and the defensible version is written down in the AIS Program with a reason attached rather than inferred from whenever the last report happens to be dated.

The gap sign column is where most first passes stop being comfortable. That is the column doing the work. An examiner tests whether the program operates; the useful thing to be able to show is that you already know which parts do not, and since when.

The gap record: what to do when you cannot produce it

Every carrier has gaps. The expensive version is discovering them in the same week the examiner does. The gap record is a worksheet for naming one first, in a form that reads as management rather than apology.

The two rows below are illustrative, not a real company’s data.

Illustrative examination-gap log with interim controls, owners, and due dates
Gap #Exam request or findingWhat we could not produceWhyInterim controlOwnerDue date
G-01Produce validation records for the claims triage modelNo validation performed since 2025 rebuildModel rebuilt by vendor without a re-validation clause in the contractManual review of all triage decisions until validation completedChief Actuary2026-Q3
G-02Show proxy-discrimination screening for geo scoreNo proxy screen documentedGeo score added in 2024, before proxy screening was part of the standard intakeRun the disparate-impact test now; document methodology and resultsModel Risk2026-Q4

The pattern is the same for every gap: name it, explain why it exists, assign an interim control, name the owner, and set a due date. The interim control is the load-bearing column. “We are aware of the issue and are working on it” describes a feeling about the gap; “all triage decisions are manually reviewed until validation is completed” describes what happens to a policyholder in the meantime, which is the thing an examiner can test.

Both illustrative gaps above are vendor-shaped, which is the common case. The contract that governs whether you can get validation records out of a vendor at all is usually signed years before anyone asks, and our AI vendor risk assessment checklist covers the clauses that decide it. For the data-lineage side of row G-02, the NAIC Exhibit D data documentation playbook works through what naming a data source actually requires.

What the NAIC Evaluation Tool means for exam prep

The Evaluation Tool, at Version 4.0 and running as a pilot in twelve states through September 2026, is a structured request for information about an insurer’s AI systems 24. Nothing in it is exam procedure. Its own pages still carry a DRAFT header, its exhibits are labelled optional and supplemental, and it tells regulators to cut them down to the inquiry at hand. It is still the most detailed published account of the questions a regulator has decided are worth asking. That makes it the closest available proxy for exam scope, and its four exhibits fit the eight items above:

  • Exhibit A sits on top of item 2. It does not ask for the inventory itself; it asks you to count it: how many AI systems run in each operational area, how many touch consumers directly, how many carry material financial impact, how many went live in the past twelve months.
  • Exhibit B lands on items 1 and 7, and asks whether the program is written, adopted, and reviewed rather than what it says.
  • Exhibit C lands on item 3, model by model: what it is, when it went in, who built it, how it is classified for risk, how it was validated, when it was last tested, and whether anyone has ever taken action against you over it.
  • Exhibit D lands on item 4, but not as a lineage essay. It hands you a checklist of data-element categories and asks which ones your models use and where each came from. Look at which categories it names: race, geocoding, geo-demographics, education, income, criminal convictions. Nobody puts those on a form for no reason.

We take the exhibits apart one at a time in How to Read the NAIC AI Evaluation Tool’s Exhibits A-D; the point here is narrower. Filling the tool in is an internal exercise, and you can leave a cell blank and come back to it. An exam has a transmittal date, a record, and a findings letter at the end. That difference is why the gap record above exists, and why it is worth writing before anyone is waiting on it.

Run a 30-minute production test

If you have not received an exam notice, run the documentation checklist against your own files. Pick one item and try to produce it in 30 minutes. If you cannot, that is a gap. Write it down with an owner and a due date. Do this for all eight items. The result is your gap record, ready before the letter arrives.

If the notice has already arrived, read the dates in it first, then handle the two administrative deliverables: the acknowledgment letter and the internal exam file, then the kickoff minutes. Run the same 30-minute test anyway, on the items your confirmed scope actually reaches. Finding the hole during collection week costs you a gap record. Finding it during the interview costs you the answer.

A caution about the list itself: your exam’s scope is set by the department, not by this article. An exam can arrive pointed entirely at claims handling and never open the inventory, or it can start with the AIS Program and stay there for six weeks. Eight items is what the Bulletin and the Evaluation Tool make reachable. What actually gets reached is the examiner’s call.

Footnotes

  1. NAIC Model Bulletin, “Use of Artificial Intelligence Systems by Insurers,” adopted December 4, 2023: https://content.naic.org/sites/default/files/inline-files/2023-12-4%20Model%20Bulletin_Adopted_0.pdf 2

  2. NAIC, “AI Systems Evaluation Tool 4.0,” 2026: https://content.naic.org/sites/default/files/inline-files/AI%20Systems%20Evaluation%20Tool%204.0%20%28Clean%29.pdf 2 3

  3. NAIC, “Market Conduct Regulation,” last updated May 15, 2025: https://content.naic.org/insurance-topics/market-conduct-regulation

  4. NAIC, “AI Systems Evaluation Tool Pilot: Pilot Project Background”: https://content.naic.org/sites/default/files/call_materials/Pilot%20Project%20Summary.pdf

The Bottom Line

  • The eight-part readiness file and sequence in this playbook are InsureAI Wire's preparation framework. A department sets the actual scope, requests, and dates.
  • The Model Bulletin expects insurers to have a written AIS Program, and tells them an examiner can ask about it. An undated program with no review history answers that question badly before anyone opens the inventory.
  • An inventory entry without a named owner and a dated validation record cannot be defended in an exam, whatever validation interval you set.
  • A document you cannot produce still has a defensible form: the gap written down with an owner, a due date, and an interim control that says what protects the policyholder in the meantime.

Path complete

You have reached the evidence stage.

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Written by

Simon Li · Founding Editor

Much of his time goes into reading NAIC meeting papers, state bulletins, bills, court filings, and public comments. He also keeps the site's 51-jurisdiction tracker up to date.

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