MCCM Wiki
Scoring use cases in an AI audit
Score use cases on value, effort, data readiness, and risk. The highest score with an owner becomes the pilot. The audit is a ranking tool, not a brainstorm wall.
Why this matters now
Teams stall on scoring use cases in an ai audit when nobody owns the next step. Name the owner before you pick a tool.
Practical steps
1) Write the job in one sentence. 2) Baseline the current time or error rate. 3) Design a reviewed workflow. 4) Run a 6–10 week pilot. 5) Keep or kill based on the KPI.
Risks to avoid
Do not expand scope mid-pilot, skip human review, or paste personal data into unapproved tools.
Related MCCM work
Pair this page with an AI audit, a clear pilot KPI, and GDPR-safe prompt rules.
Done looks like
The owner can show the KPI trend and the review gate without opening a slide deck.