How to know if your AI answered your client wrong

Your client asks something important and the chatbot responds with full confidence — but wrong. The client follows that guidance, things go south, and you take the blame, not the bot. This kind of error is hard to catch because the system never hesitates; it states falsehoods as facts. It leads to rework, lost trust, and financial damage. You don't need to understand AI to fix this. Three practical measures work: sampling review (check a batch of interactions instead of every single one), clear boundaries on what the bot can claim (e.g., 'don't answer exact stock values'), and a handoff mechanism to a human when the topic leaves the safe zone. A real estate firm set up a virtual assistant to answer property questions. During sampling review, they noticed the bot invented square footage. They set a limit: the bot could only state footage if it matched a pre-approved list. Otherwise, the automated reply was 'Please contact our agent.' Result: 70% reduction in reported errors. Cost: a few hours per week of an intern reviewing 50 conversations. At 10Dobro, we build the governance layer for your AI agent: we design which topics it can handle, triggers for human transfer, and run automatic weekly sampling to catch errors before they become complaints. The outcome is fast, safe service — no reputation risk. Schedule a call to see how this works for your business.