Most chatbots embarrass you by answering anyway. Ask something outside what they know, and they produce a confident, wrong answer - the exact behaviour that makes teams afraid to put AI in front of customers. Wonderchat is built to do the opposite: recognise the edge of what it knows and stop there.
When a question falls outside what your content actually covers, the agent detects it and says so, then hands off to a human or falls back to the path you set - rather than inventing an answer to fill the silence. Because every answer is grounded in your own content and cited to its source, the agent knows what it's standing on; when there's nothing underneath a question, it doesn't pretend there is.
This is the single feature that decides whether you can trust an agent in public. An assistant that guesses is a liability. One that knows its own limits and escalates cleanly is something you can actually deploy.
You control what happens at the boundary - hand off to live chat, capture the question for review, or return a fallback message. Every out-of-scope question also becomes a signal about where your content has gaps. It's part of a SOC 2 Type II certified, GDPR-compliant platform. Put an agent in front of customers that knows when to say, let me get someone.
FAQ
What happens when the AI doesn't know the answer?
It detects that the question is outside your content, says so, and hands off or returns a fallback you set - rather than inventing an answer.
Will the chatbot make up answers to look helpful?
Can I control what happens at the boundary?
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