An AI chatbot that can't answer a question is annoying. An AI chatbot that confidently gives a wrong answer — like an incorrect return policy or a discount code that doesn't exist — is a bigger risk. This is called an AI hallucination. This article explains what it is, why it happens, and how to limit the risk in customer service.
What is an AI hallucination?
An AI hallucination is when a language model generates information that sounds factual but isn't correct — without the model itself "knowing" it's wrong. The model predicts text based on patterns, not based on a database of verified facts. If it doesn't have a good answer, it can still produce a plausible-sounding but incorrect one instead of saying "I don't know."
Why this is extra risky in customer service
For a general AI chatbot on a website, a hallucination is annoying. For customer service at an online store, it can directly cost money or trust: an AI that promises the wrong delivery time, invents a return policy that doesn't exist, or "confirms" a discount code that isn't real puts your team in a bind.
How to limit the risk
1. Let the AI answer from your own knowledge base, not general knowledge
The biggest difference between a hallucinating and a reliable AI chatbot is the source. An AI chatbot that answers based on your own, current knowledge base and product feed has far less room to "make things up" — it's citing what you've actually documented, instead of guessing.
2. Connect live data, not static text
Questions about order status, stock, or return windows should be answered with live data from your systems (like Picqer, Lightspeed or bol.com), not a standalone, outdated knowledge article. The more direct the source, the smaller the chance of a made-up answer.
3. Let the AI know when it doesn't know
A well-configured AI chatbot is explicitly trained to say "I don't know this, let me connect you with a team member" instead of always forcing an answer. It's less impressive, but considerably more reliable.
4. Build in a smooth handoff to a human
For sensitive or complex questions — think a payment dispute — a fast handoff to a team member, with full conversation history, matters more than an AI that tries to answer no matter what. Read more about the difference between AI and automation and when to use which.
How Bugalou handles this
Bugalou's AI agent answers questions based on your own knowledge base and product feed, not on what the model "thinks it knows." For a question outside that knowledge, the AI hands the conversation to a team member instead of guessing. Also read our guide to customer service chatbots for a broader explanation of how this works in practice.
Frequently asked questions
Can AI hallucinations be fully prevented? Not 100%, but the risk can be significantly reduced by having the AI work from your own, verified knowledge base instead of general knowledge, and by building in a clear handoff to a human.
How do I know if my AI chatbot is hallucinating? Regularly review conversation logs, especially for questions about policy, pricing, or stock. An AI that consistently answers based on your own content is far less risky than one that answers "freely."
How much does Bugalou cost? From €49/month, with the AI chatbot included. 14-day free trial.
This article was last updated in September 2026.
Founder of Bugalou and e-commerce entrepreneur. As a business owner, I noticed that customer service tools were either unaffordable or so complex you needed an IT department. That frustration led to Bugalou.
