01

Capture only what helps

Ask for the request, contact preference, service area and the minimum context a reviewer needs.

Avoid restricted, unnecessary or safety-sensitive detail.

02

Separate urgency from routine

Define the language that triggers an immediate stop or human escalation.

Do not let an AI helper diagnose a hazard or improvise emergency advice.

03

Make the holding message honest

Say that the request has been recorded for review.

Do not claim a booking, attendance time, CRM update or callback schedule unless the relevant provider action genuinely occurred.

04

Review the evidence

Track intake completeness, escalation accuracy, reviewer corrections and follow-up ownership before expanding.

Technical evaluator notes

Evaluation should confirm architecture, data handling, knowledge ownership, permissions, human authority, QA/UAT criteria, integration boundaries, monitoring, audit evidence, release gates and rollback for the specific workflow. The guide does not claim that external systems are connected.

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