AI hallucinations are probably one of the biggest risks when using AI for customer support.

The frustrating part is that a hallucinated answer doesn’t always sound obviously wrong. Sometimes the AI responds confidently, gives detailed information, and sounds completely convincing. The customer has no reason to question it until they discover that the information was incorrect.

I think this becomes especially serious when AI is handling real customer issues.

For example, an AI agent might give the wrong refund policy, promise a delivery date that isn’t guaranteed, provide incorrect product information, or tell a customer that an action has been completed when it actually hasn’t.

A wrong answer in a casual conversation might be easy to correct. But when the AI is representing your business, it can damage trust and potentially cost money.

One thing I’ve noticed is that preventing hallucinations isn’t just about having a better model. The AI also needs access to reliable business information, clear instructions, appropriate permissions, and a way to recognize when it doesn’t have enough information to answer confidently.

Sometimes the best response is simply:

“I’m not certain about that. Let me get someone who can help.”

That might feel like a failure from an automation perspective, but I’d argue it’s actually a sign of a trustworthy AI system.

I’m curious about other people’s experiences.

* What’s the worst hallucination your AI agent has produced?

* Did a customer actually act on the incorrect information?

* How did you discover the problem?

* Did you change the AI’s instructions, knowledge base, or workflows afterward?

* How do you handle situations where the AI isn’t confident?

* Do you have certain actions that your AI is simply not allowed to take?

I’m especially interested in real failure stories rather than theoretical examples

What’s the biggest AI hallucination you’ve dealt with, and what did you change afterward?