You have probably seen it happen. A customer types a simple question into a chatbot and gets a response that sounds confident but is completely wrong. Or worse, the bot loops them through the same three questions until they give up and call a human anyway. For all the hype around AI customer service, most implementations are failing in the same predictable ways. The good news is that the fixes are not complicated. They just require companies to stop treating chatbots like magic and start treating them like tools. Where chatbots go wrong The most common failure mode is overreach. A company buys an AI platform, feeds it a FAQ document, and expects it to handle every inbound request. It cannot. A chatbot trained on static documentation does not know your current inventory, your shipping delays, or whether a specific promotion is still active. When a customer asks something even slightly off-script, the bot either hallucinates an answer or falls back to a generic "let me connect you with an agent" message.…