About this resource
A free 36-point quality review checklist for AI audit engagements, with evidence prompts and pass/fail criteria for every item.
How this resource helps
Catch Gaps Before Sign-off
Find missing tests, open review notes and unsupported conclusions while there is still time to fix them.
Know What Evidence to Open
Every check names the workpaper or record to inspect, so reviews are faster and consistent across reviewers.
Cover AI-specific Controls
Confirm the audit tested data governance, validation, bias, drift, human oversight and model change control.
Show Traceable Review Quality
Each item cites ITAF, Global Internal Audit Standards, ISO/IEC 42001 or NIST AI RMF, giving you a defensible record of the review.
What's included
36 checks in 8 groups, from engagement setup and independence through AI control testing, evidence, reporting, supervision and follow-up, each with a standards reference, an evidence prompt and a pass criterion, marked Pass, Fail or N/A. Available as DOCX and PDF.
Who it's for
Auditors and reviewers who need a consistent quality check on AI audit and assurance engagements before reports are released.
AI auditors, IT and internal auditors, audit managers and quality reviewers, AI governance and assurance leads, AAIA and AIGP candidates