MCCM Wiki
What an AI audit should deliver
A useful AI audit ends with three outputs: a short opportunity roadmap, clear risks and data gaps, and one recommended pilot with owner, timeline, and success metric.
Many "AI audits" stop at tool demos. That leaves the team inspired and still unsure what to change next week. MCCM treats the audit as a decision package for leadership.
What to expect in 30 minutes plus follow-up
- Current workflows where AI can remove waiting, rework, or manual reporting.
- Data readiness: what you already have, what is missing, what is unsafe to automate.
- A ranked shortlist of use cases by effort, risk, and business value.
- One pilot recommendation with KPI, owner, and a 6–10 week outline.
What "done" looks like
Done means the next step is funded or explicitly declined. If the only artifact is a list of ChatGPT ideas, the audit failed. If leadership can say yes to one pilot with a metric, the audit worked.
Related MCCM terms
See AI audit, AI pilot, and From audit to pilot.