Business AI field guide
Where should an AI customer service workflow stop?
A customer service AI workflow should answer from approved information and act only within agreed permissions. Requests involving exceptions, unavailable facts, or decisions outside scope need a clear human handoff.
Approve the information it may use.
Identify the pages, documents, or systems that contain current service details. Decide who updates them. The workflow should recognize when an answer is absent instead of inventing a policy, price, or availability.
Separate answers from actions.
Answering a question and changing a booking require different permissions. Define eligible actions, required identifiers, and confirmation steps. Keep pricing exceptions, refunds, or unusual requests with a person unless explicitly included and tested in scope.
Make escalation usable.
Explain what information is passed to the human reviewer, where the request goes, and what the customer sees when automation cannot finish. Do not promise a response time the business has not committed to. Avoid collecting information that is unnecessary for the task.
Check difficult conversations.
Test incomplete requests, contradictory source content, unsupported questions, failed booking calls, and repeated submissions. Verify that the workflow stops at its boundary and that a reviewer receives enough context to continue. Recheck it when source information or permissions change.
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