MCCM Wiki
Internal vs customer-facing AI outputs
Internal drafts can tolerate more error with review. Customer-facing text needs stricter gates, tone rules, and often a smaller scope.
Why this matters now
Teams stall on internal vs customer-facing ai outputs 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.