Chatbots grounded in your actual content
Website, support, lead-gen, and internal chatbots built on your documentation - not general model knowledge.
A chatbot that confidently answers incorrectly does more damage to trust than no chatbot at all - which is exactly why grounding every response in real documentation, rather than general model knowledge, matters more than how natural the conversation sounds.
We scope each chatbot to what it can answer reliably. Website chatbots catch the moment a visitor has an unanswered question and would otherwise just leave. Support chatbots resolve the handful of questions that repeat constantly, freeing human time for tickets that need judgment. Lead generation chatbots qualify conversationally, capturing the same data a form would with less visitor friction. Internal knowledge assistants answer employee questions from documentation that already exists but is scattered across five different tools nobody wants to search.
Confidence thresholds and clean escalation to a human are built in from day one - not an afterthought once something goes wrong publicly.
Every AI Chatbots service, broken down
Answers visitors get before they leave to search elsewhere
Website chatbot implementation for answering visitor questions and capturing leads in real time.
First-line support that's actually accurate
Customer support chatbots grounded in your documentation, reducing repetitive ticket volume.
Qualification, handled in the conversation itself
Lead generation chatbots that qualify visitors conversationally before handing off to sales.
Stop searching six tools for one answer
Internal knowledge assistants that answer employee questions from your existing documentation and tools.
Common questions
Every response is restricted to what's actually in your documentation, with a confidence threshold that triggers a handoff to a human instead of a guessed answer. The chatbot is scoped to what it can answer reliably rather than given free rein to sound helpful.
It depends on where the pain actually is. A website chatbot is usually the lowest-lift starting point. A support chatbot pays off fastest if a small number of questions account for most of your ticket volume. An internal assistant makes sense when the real cost is employee time lost searching scattered tools.
A well-scoped build typically runs four to eight weeks. That extends when it needs deep integration with a CRM, ticketing system, or internal tool where API access has to be set up from scratch rather than already existing.
No - resolution rate depends on how repetitive your actual questions are and how complete your documentation is, and we won't promise a number we don't control. What we can guarantee is that it never guesses past its scope; anything it can't answer reliably gets escalated rather than fabricated.
It can, but only as well as the underlying documentation supports it. A chatbot answering from English-only source material will give thinner answers in other languages, so multi-language support is usually scoped alongside a review of what documentation actually exists in each language.
It says so and hands off, whether that means routing to a live agent, opening a ticket, or pointing to a human contact - depending on which chatbot type it is. Escalation is a designed part of the flow from the first build, not a patch added after something goes wrong.
Worried about a chatbot giving wrong answers?
We ground every response in your actual documentation, with clear escalation when it's unsure.
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