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AI audit evidenceJun 13, 2026Source: Maetra research

How to prepare for an AI governance audit

Editorial cover for How to prepare for an AI governance audit, showing AI governance research and compliance operations.

The worst time to prepare for an AI governance audit is after the evidence request arrives. By then, teams are searching chats, tickets, spreadsheets, cloud logs, and documents to reconstruct decisions that should have been captured during normal work.

Audit preparation should be a standing operating practice. The goal is to make evidence retrievable by system, control, and time period.

Build the system list

Start with the AI inventory. Confirm system names, owners, business purpose, user groups, environments, model or vendor, data categories, autonomy, tool access, risk tier, and status. Identify systems that are retired, experimental, or production.

A clean inventory sets the audit scope. Without it, every conversation starts with uncertainty.

Collect decision evidence

For each in-scope system, gather classification rationale, applicable obligations, approval records, launch conditions, exceptions, and review dates. The evidence should show who made the decision and why it was reasonable at the time.

If decisions were made informally, document the gap and create a remediation item. Do not pretend missing evidence exists.

Collect control evidence

Map required controls to proof. Approval controls need approval records. Human oversight needs reviewer decisions. Runtime controls need logs or policy events. Monitoring needs alerts, reviews, incidents, and closure records. Change controls need change history and re-review decisions.

Control evidence should be specific to the system, not just a generic policy statement.

Prepare open issues

Audits do not require perfection, but they do require honesty and follow-through. Maintain a list of gaps, owners, due dates, risk acceptance decisions, and remediation progress. Mature programs know where they are weak and can show what they are doing about it.

Run a dry review

Before the audit, sample a few systems and ask whether an independent reviewer can understand the system, risk, approvals, controls, incidents, and changes without interviewing the original team.

If the answer is yes, the audit will be calmer. If the answer is no, the program has evidence work to do before the formal request arrives.

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