TalkJS

Customer support teams face scattered documentation across help centers, guides, and product sites, making it hard to give customers fast, accurate answers. Customers are often left waiting in support queues for simple questions that could be answered from existing content. When AI tools do try to help, they risk filling knowledge gaps with guesses instead of recognizing their limits, which can erode customer trust. Support agents handling escalations often lack context, forcing customers to repeat themselves.

Tori connects to a company's existing content (website, docs, guides, updates) via URL and learns the product to build a grounded knowledge base. It answers customer questions instantly in the company's own tone and rules, citing sources, and flags uncertainty rather than guessing when confidence is low. When human help is needed, it hands off the conversation to support teams with full context and conversation history included, so agents can continue without the customer repeating themselves. The chat UI can be embedded in a help center, app, or website, customized to match the product, or accessed via API, and it's built on TalkJS's messaging infrastructure with real-time delivery.