A support bot is only as good as what it knows
Most chatbots fail for one reason: they have never read your documentation. They guess, they loop, and they push frustrated customers towards a contact form anyway. The result is a worse experience than no bot at all, and a support queue that keeps growing.
We build differently. Every bot we deploy is trained on your actual material, your help centre, product docs, policies and resolved tickets, using Retrieval-Augmented Generation (RAG). The bot retrieves the relevant passage before it answers, so its replies are grounded in what your business actually says, not a plausible-sounding invention.
That means it can resolve the questions that fill your queue every day. Where is my order, how do I reset my password, what is your returns policy, does this plan include that feature. The ones it cannot answer, it escalates to a human with the full conversation attached, so nobody starts from scratch.
This is one part of our AI Workflows practice, where support automation connects to your customer relationship management (CRM) system and the rest of your stack. If you want to see where it would pay off fastest, start with a free audit.