The Executive AI Inventory Audit Checklist

Most organizations can name their AI strategy before they can name their AI inventory. This is the executive entry point to the Enterprise AI Inventory Audit & Triage methodology — a defensible way to establish where AI is operating across the enterprise, what it affects, whether it’s adequately controlled, and what leadership should do about it.

Pair this with Your AI Policy Is Not Your AI Inventory for the fuller argument on why policy-first approaches skip this step.

What’s inside

A nine-stage executive audit, from first sighting to standing review:

• 01 Discover: find the AI uses actually operating, including shadow and embedded AI.
• 02 Verify: confirm the operational reality behind each material use.
• 03 Diagnose Exposure: determine the potential blast radius if it fails or acts outside its boundaries.
• 04 Test Control Fit: check whether safeguards are proportionate to that exposure.
• 05 Test Value: determine whether it deserves continued investment.
• 06 Decide: give every material AI use one explicit primary disposition.
• 07 Prioritize: separate governance urgency from investment attractiveness.
• 08 Mobilize: convert findings into owners, deadlines, and accountable action.
• 09 Measure & Review: keep the inventory alive as AI, data, and regulation change.

Get the checklist

Enter your name and work email and the PDF will download automatically.

This is the diagnostic first step of the Governed Growth Model — read The Three Stages of AI Maturity Most Companies Skip for the full maturity model this checklist starts you on.