AI customer support that does not invent answers
A support assistant is judged by what it refuses to answer as much as by what it answers. Confident wrong answers cost more than a short wait for a human.
Ground every answer
Retrieve from your own documentation, policies and order data, and require the model to answer only from retrieved context. If retrieval returns nothing relevant, the correct response is a handover, not a guess.
Define refusal explicitly
Write the categories the assistant must refuse: pricing commitments, legal advice, policy exceptions and anything requiring account access. Test those refusals as carefully as the happy path.
Escalate with context
When handing over, pass the transcript, the detected intent and the customer’s order reference. A handover that starts with "please repeat your issue" undoes the value of the automation.
Common questions
- Will an AI assistant reduce support headcount?
- It usually reduces volume on repetitive questions first, letting the team spend more time on complex cases. Planning for immediate headcount reduction tends to disappoint.
- How do we keep answers current?
- Keep the knowledge source versioned and rebuild the index when policies change. Stale documentation is the most common cause of wrong answers.
Next step
If this question is live in your business right now, describe the situation and you will get a written view on the options, including whether you should build at all.
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