Many businesses launch an AI chatbot expecting instant results. The chatbot goes live, answers a few common questions, and then quickly starts giving vague, inaccurate, or unhelpful responses. The problem is rarely the AI itself. The problem is that chatbots do not...
74% of organizations that deployed AI chatbots have had to shut them down or roll them back due to failures. Technology is rarely a problem. Thin knowledge bases, missing escalation paths, and zero feedback loops are. Here are the seven most common reasons chatbots...
Training an AI chatbot on your own documentation does not require a developer or a data science team. You upload your existing FAQs, policies, and product guides the chatbot learns from that content and starts answering customer queries immediately. The quality of...
Every time your AI chatbot escalates a conversation to a human agent, it is flagging a gap in its knowledge. That gap is valuable data. Businesses that review escalated conversations weekly and feed the resolutions back into their knowledge base consistently achieve...
If your AI customer support chatbot handles messages from UK customers, it is processing personal data and UK GDPR applies. Fines for non-compliance reach up to £17 million or 4% of global annual revenue. Most compliance issues are not technical. They come down to...
A chatbot’s accuracy isn’t about which AI model you use. It’s about what you feed it. A well-structured support knowledge base gets your chatbot answering correctly from day one and keeps improving over time. Here’s how to build one that...
