Put a review gate around AI output.
A useful draft still needs boundaries. Test a simple policy check that flags unsupported promises, sensitive data, and emergency responses.
Checking and approving create a local demonstration log. No message is sent or stored on a server.
Run the check to see whether this draft can move to human approval.
Review log
What needed to change
A generated reply can sound confident while making a promise the business cannot verify, or repeat information that should not appear in an outgoing message.
Have the business approve the policy, data boundaries, escalation owner, and exception procedure. Run human-led checks on actual cases before using this with customers.
Deliverables
- Defined a review policy: no unsupported appointment claims, no sensitive numbers in drafts, and clear urgent escalation.
- Built an example gate that blocks drafts when its rules are triggered.
- Recorded local review actions to demonstrate accountability.
This practice case uses fictional data and demonstrates a proposed approach. It is not a client testimonial or measured outcome.