AI Support Agent
Most support questions are already answered somewhere in your docs. The AI agent finds that answer, replies in seconds with the source cited, and hands off to your team the moment it isn't sure, so customers wait less and your team does less repeat work.

No model training, no prompt engineering, no data pipeline, just your existing docs, put to work.
Toggle it on, add a product description, set the tone, and add any custom instructions you want it to follow.
Every article and changelog you publish is embedded automatically. No model training, no CSV upload, no waiting.
Questions in the widget are answered in seconds, with sources cited. Anything it can't resolve escalates with full context.
The agent answers customers in the widget from content you already wrote, and the same engine rides along as a Copilot for your team in the inbox.
Inbox Copilot
AI support isn't only customer-facing. When a conversation reaches the inbox, the Copilot summarizes the thread and drafts a grounded reply for an agent to review, so even the tickets the AI escalates close faster than before.
Every published article and changelog is embedded automatically, no separate training step, no CSV upload.
Every answer links to the article it came from, so customers can verify and you can see which docs do the work.
Low confidence or an explicit request for a person triggers a clean handoff, full transcript attached.
Confirmed by the customer or assumed after 24 hours of silence, reversed if they return. Real numbers, not vanity.
Set the tone, add custom instructions, define product context, and name the agent. It sounds like your team.
Publish a doc and the agent knows it. No retraining cycle, your support gets smarter the moment you write.
The practical details, before you sign up.
Every published knowledge base article and changelog is embedded and searchable. The agent retrieves the most relevant passages and answers from them, so its knowledge is exactly as good as your docs, and improves every time you publish.
It answers only from retrieved content and cites the source. If nothing relevant clears the similarity threshold, it escalates to a human instead of guessing, which means no confidently wrong answers in front of your customers.
When the agent isn't confident, including when a customer explicitly asks for a person, it hands off, and a real support conversation is created with the full AI transcript attached. The handoff is seamless; the customer never repeats themselves.
The same intelligence, agent-facing. Inside a conversation it summarizes the thread, drafts a reply grounded in your docs, and finds the right article. Suggestions are advisory, your team reviews and sends, keeping a human firmly in the loop.
Yes. Set the tone, add custom instructions, define your product context, and name the agent. It answers in your brand's voice, within the boundaries you set, not a generic chatbot bolted onto your site.
No, it removes the repetitive work. The agent handles the questions your docs already answer and routes everything else to your team with full context, so people spend their time on the hard, high-value problems instead of the FAQ.
Free for 7 days. No model training. No prompt engineering.
Free for 7 days · No credit card · 5-min setup