Your move
Run ten replies through human review
A short supervised run exposes missing sources and unsafe assumptions before automation.
Run a starter set of ten real drafts through human review and record accepted, corrected, and escalated cases. Promotion depends on what your reviewers observe, not the model's confidence.
Do this now
Three moves, in order.
- Keep the original question, source, draft, reviewer decision, and correction together.
- Turn repeated corrections into a source, template, or escalation-rule change.
- Keep human approval in place for any class that has not earned a clear, reviewed routine.
Build the artifact
Tested customer reply routine
Copy these fields into a note, document, or sheet you already use.
Case
Question and approved source
Decision
Accept, correct, or escalate
Reason
What the reviewer saw
System change
Source, template, or rule to update
Give AI the bounded job
Prompt from your artifact—not from vibes.
Summarize this supervised reply set. Count only the decisions in the log. Group corrections by source, template, or escalation failure. Do not recommend autonomy for any case type with unresolved errors.
Before you use it
The work leaves your hands only when:
- Every draft has a recorded human decision.
- Corrections change the system, not only the one message.
- Sensitive classes remain human-owned.