The best answers to your support questions are already written - by your own team, in the tickets you've closed. Most tools ignore that and make you build a knowledge base from scratch. Wonderchat trains on your resolved tickets instead, so the agent answers new questions the way your best rep already answered the last hundred.
When a customer asks something your team has handled before, the agent responds from that history and cites the source it drew on - no invented answers, no guessing. When it hits something genuinely new, it says so and hands off to a human instead of bluffing.
Across all customers, Wonderchat resolves about 76% of conversations on its own, and one customer - Jortt - resolves roughly 92% of ~30,000 monthly inquiries this way. Those aren't projections; they're what the agent does once it's grounded in real support history.
The result is a support agent that sounds like your team because it learned from your team - deflecting the repetitive questions so the people you pay to solve hard problems stop re-typing the same reply. Point it at your ticket history once, and the work you've already done starts working for you - no separate knowledge base to build, and no ramp-up period while it learns your product from scratch.
