Start with a reviewable workflow
A practical way to choose an AI use case that can be observed, checked, and stopped before it reaches customers.
Source: Rookmint-authored AI safety guide
Choose a bounded decision
The safest first workflow is narrow enough for one person to understand from input to outcome. Look for work with a clear owner, a repeatable input, and an output that can be reviewed before anything consequential happens.
- Prefer drafting, classification, or summarization over an irreversible action.
- Name the customer, operational, or financial impact if the output is wrong.
- Keep the first pilot away from autonomous sends, refunds, or production writes.
Make review part of the design
A reviewer needs a useful view of the source context, the suggested result, and the reason to accept or change it. Record exceptions rather than treating a smooth first week as proof that the workflow is safe.
Know when to pause
Pause the pilot when the source data changes, the output drifts, or a reviewer cannot explain why a result was accepted. A small, reversible experiment is more useful than a broad rollout with unclear accountability.
Keep going
Turn the guidance into a next step
Keep the first move narrow, reviewable, and owned by someone who can pause it.