Support operations
What an AI support agent should handle
A practical boundary map for using AI support agents without handing judgement calls to automation.
Capture requests when the answer is not enough
Many support conversations are not just questions. A customer may need a refund, a booking change, an invoice, or a status update. The agent can collect the customer, issue, transcript, priority, and next step, then package it for a person.
This is where automation saves time without pretending the final work is done. A clear request is better than an overconfident answer.
Only connect actions after the handoff is reliable
System actions can come later, but they should be added one at a time. Each action needs a trigger, confirmation rule, failure path, and audit trail.
A good rule of thumb: if your team would review it manually today, the agent should start by capturing the request and routing it, not making the change alone.
FAQ
Frequently asked questions
What should an AI support agent automate first?
Start with repeat questions that have a clear answer in approved business content. Add request capture and routing next, then connect consequential actions only after confirmation and failure rules are tested.
What should always go to a human support agent?
Refund approvals, account changes, policy exceptions, sensitive complaints, safety issues, and any request where the available information is uncertain should route to a person.