A chatbot that answers
from your own documentation.

It depends on the queue it faces and the systems it touches, which is why we don't quote from a rate card. Every engagement opens with a scoped pilot: one queue, your own documentation, a working assistant in 14 days, priced as a small, defined piece of work. The proposal you receive within 48 hours itemises what ships, including the questions in scope, the integrations wired, and the guardrails and evaluation included. You compare deliverables, not day rates. Scaling to more channels or queues is priced only after the pilot has earned it.

Any language model can hallucinate, and no vendor can promise zero. Our job is to make errors rare, visible and safe. The assistant answers only from your own documentation and shows the source under each answer. When retrieval comes back thin or confidence is low, it says so and hands over to a human rather than improvising. Before launch it runs against an evaluation suite built from your real tickets, and after launch every conversation is logged so you can audit exactly what was said and why. Honest answer: not zero errors, but engineered, measured and contained ones.

No, and we'd rather tell you that now than in a post-mortem. What a grounded chatbot genuinely does is clear the repetitive layer of the queue: the questions your documentation already answers, asked hundreds of times over. What it hands back to your team is everything that needs judgement (exceptions, complaints, negotiations, anything ambiguous) with full context attached. That's a better use of skilled people than copy-pasting the same reply. Teams change shape around that. What changes is where human attention goes, not headcount, and we won't put an invented percentage on it, because your queue isn't an average.

It grounds in the documentation you give it (help centre, policies, manuals, past tickets) by finding the relevant passages first (the RAG layer described above). Your data is used to answer your customers and for nothing else. Work runs under NDA as standard, we use enterprise API terms under which providers don't train on your data, and where you need it we deploy inside your own cloud so nothing leaves your infrastructure. Retention, residency and access rules are agreed in the scope document upfront, and at handover you own the code, the prompts and the pipeline outright.

The ones you already run: that's the point. Builds integrate with your existing helpdesk and CRM, your website, and messaging channels your customers actually use, rather than forcing a new platform on your team. We're deliberately model-agnostic too. The model underneath is chosen in discovery on fit, cost and data residency, and structured to be swapped without rework as better or cheaper options ship. If an off-the-shelf tool would serve you better than custom chatbot development, discovery ends with us saying so in writing.

Yes: the same grounding discipline applies, pointed at revenue. A sales assistant answers product and pricing questions from your real documentation, qualifies visitors with questions you approve, and books meetings or routes hot leads to a human. Handing a ready-to-buy prospect to your team fast is the one job it must never fumble. What we don't do is let it improvise discounts, invent comparisons with competitors, or promise features that don't exist. The guardrails and evaluation cover the sales scripts just as strictly as the support ones.