Building a chatbot people actually trust

A generic chatbot guesses. A useful one is grounded in your real documents, policies, and history, so its answers are specific and correct.

The technique is retrieval: the agent looks up the relevant facts from your data before it answers, and cites them. That is what turns a novelty into a support agent your customers rely on.

Just as important is knowing when to hand off. A good agent solves the routine questions and escalates the rest to a human, with full context attached.