AI Audit Readiness Toolkit — Self-Assessment, Gap Finder & 72-Hour Test

Description
Three diagnostic tools to assess your AI audit exposure before a supervisory authority does it for you. Built on the audit findings and governance frameworks from The Audit Trail -  part of the Governing AI Series by KMB.

The Audit Readiness Self-Assessment covers twenty questions across five governance areas - data governance, logging and traceability, human oversight, quality management, and accountability. These are the exact questions an auditor will ask about your high-risk AI system. Answer them now with dated evidence references, or find out precisely where your gaps are before anyone else does.
The Evidence Gap Finder shows you the difference between governance activity and governance-ready evidence for each area. Activity is running bias checks. Evidence is a documented assessment with method, results, and corrective actions  - dated and signed off. Use it to identify exactly where your evidence stops and your gap starts.

The 72-Hour Readiness Test asks the simplest question in AI governance: if a notification arrived on your desk today, what could you hand an auditor by tomorrow morning? Eight items. Yes or No. No grey areas. An automatic score counter shows how many gaps you have right now.

All three tools are grounded in EU AI Act obligations under Articles 9 to 17 and GDPR Article 22. Yellow cells are fillable. Every completed version is dated governance evidence.

Designed for compliance officers, governance leads, and AI programme managers preparing for regulatory review. Works alongside the AI Governance Evidence Toolkit for complete audit preparation coverage.

From The Audit Trail  - part of the Governing AI Series.