An intake assistant that clears the overnight queue by 8am
Patient enquiries arrived around the clock but were only triaged once staff logged in.
- 63% auto-resolved
- 0 missed urgent cases
Answers from your data, not from a script.
Chatbots grounded in your own content, with honest escalation to a person, across your website, chat apps, and product.
Answers pulled from your own content, not a generic script
Says when it doesn't know, instead of guessing
Hands off to a person cleanly when it should
Works across your website, chat apps, and product
A chatbot that isn't grounded in your actual content either gives a vague non-answer or states something wrong with total confidence — both erode trust faster than having no chatbot at all.
Every wrong or evasive answer is also a support ticket that didn't need to exist, quietly pushing volume back onto the team the bot was supposed to take load off.
Someone asks a question on your website at 11pm. The chatbot answers from your actual documentation — not a guess — and if the question falls outside what it knows, it says so plainly and offers to connect them with a person the next morning instead of inventing something confident-sounding.
It's not a replacement for a person on anything sensitive, contractual, or genuinely case-by-case, though — a good chatbot should know its own limits and hand off cleanly rather than try to cover everything.
A real phased build, not a vague promise — here's what actually happens each week.
We identify what content the bot should be grounded in, and where the honest boundary of its knowledge sits.
A working version live on one channel, answering from your real content with escalation wired in.
Additional channels, refined escalation rules, and handling for the edge cases that show up in real use.
The grounding content pipeline and configuration — you can update what it knows without us.
We ground the chatbot in your own documentation, policies, and product content, so answers are traceable back to a real source. When a question falls outside what it knows, it escalates honestly instead of improvising.
A chatbot is worth building when the same questions get asked repeatedly and the answers already live somewhere in your content. If your support volume is mostly one-off, highly specific cases, the honest answer is that a bot won't help much — a better knowledge base for your own team might matter more.
A software company's support team fielded the same handful of setup questions dozens of times a week. Grounded in the actual product docs, the chatbot now handles those directly and escalates anything account-specific straight to a person, with the full conversation attached so nobody has to repeat themselves.
Patient enquiries arrived around the clock but were only triaged once staff logged in.
A regional courier planned every route by hand each morning, delaying the first pickups.
A staffing firm's consultants spent mornings researching prospects instead of speaking to them.
It only answers from content we've grounded it in. Outside that, it says so and hands off — it doesn't improvise.
Yes, with the conversation history attached, so nobody has to repeat themselves.
The bot's knowledge updates with it — but stale or contradictory source content produces stale or contradictory answers, so keeping the source content current is part of keeping the bot accurate.
You do — the configuration, the grounding pipeline, and every conversation log.
We'll map the work, tell you honestly whether it's worth automating, and scope it before anything is built.