AI customer service & website chatbots
Most website chatbots fail in the same way. They are a general model bolted onto a widget, so they answer from the open internet and get your prices, your policies and your opening hours confidently wrong. We build the other kind. The assistant reads your own documents, products and policies, answers only from those, says plainly when it does not know, and passes the conversation to a person with the full history attached. The number that matters is not how many chats it held. It is how many tickets your team never had to open.
- Assistants grounded in your own content, products and policies
- Answers traced back to the page or document they came from
- A clean handoff to a person, carrying the conversation history
- Guardrails on what it must never answer on its own
- Deflection and handoff rates measured before and after launch
- Replies in every language your customers actually write in
- Wired into your helpdesk, inbox or CRM instead of sitting beside it
- EU hosting, or your own infrastructure where residency demands it
Bundled bots usually answer from a general model with your FAQ pasted in as context. That is enough for opening hours and wrong for anything specific. We ground the assistant in your actual content so it answers from your documents and cites them, and we set it to hand off rather than improvise when the answer is not there.
That is the failure mode we design against. The assistant answers from a retrieved passage of your own content rather than from memory, which means the answer can be traced to a source, and anything outside that content becomes a handoff instead of a guess. We also set explicit no-answer zones, usually pricing edge cases, contractual questions and anything with a legal or medical consequence.
The repetitive half of your inbox: order status, delivery times, spec and compatibility questions, opening hours, returns. It should not replace the conversations that need judgement, and we would rather it handed those over early. We measure what share of contacts it resolves before and after, so you can see what it removed rather than take our word for it.
The website first, because that is where the traffic already is and where it is cheapest to prove. From there the same grounded assistant can sit behind email triage and your helpdesk, so a customer gets the same answer regardless of where they asked.
We audit first: how many contacts you get, what they are actually about, and how much of that is answerable from content you already have. That tells us whether it pays off at all, and only then do we quote a fixed price. If the volume does not justify it we say so rather than build it.
Yes, where there is a reason to. In practice most companies need data residency rather than ownership, and that is met by an EU endpoint and a processor contract for a fraction of the cost of hardware. We establish which case you are in before anyone quotes for infrastructure.