AI chatbots that put your knowledge to work

Give customers useful answers grounded in your business information. We build assistants with source retrieval, connected tools and a clear handoff to your team.

Conceptual illustration: ai chatbots that put your knowledge to work.

Designed around your goals

These are the decisions we turn into a solution for your business.

It answers confidently and wrongly

Without grounding in real sources, a model fills gaps with plausible text. That is worse than no chatbot at all.

It traps people

No escalation path, or one that loses the conversation. The customer ends up writing an angry email anyway.

Nobody knows if it improved

Every prompt tweak is a guess because there is no evaluation set to compare against.

The bill surprises everyone

Model usage per conversation was never estimated against real volume.

How we put technology to work

Explore the approach and workings behind our work.

What we implement

Grounded knowledge

Answers built from your documentation with the source cited, and an explicit "I do not have that" when retrieval comes back empty.

Tone and boundaries

What it may promise, what it must never state, and how it declines. Written down and tested, not left to the prompt.

Escalation that carries context

A person receives the conversation and the summary, not a bare notification.

Evaluation set

Real questions with expected answers, run on every change so you know whether it got better or worse.

The channel your customers use

Web, WhatsApp or in-product. Chosen last, after the task is defined.

Cost and observability

Usage per conversation, logs and alerts, estimated against your real volume.

What is the difference from an AI agent?

A chatbot converses: it answers, guides and escalates. An agent acts: it reads and writes in your systems, with bounded permissions and human approval on consequential actions. Many projects start as the first and grow into the second; we say which one your case needs rather than selling both.

Will it replace my support team?

No, and we would not sell it that way. It absorbs repeated questions and hands over the rest with context. We publish no deflection percentages: without a comparable baseline of yours they would be invented.

How long does a pilot take?

Weeks, not months, when the knowledge exists and the task is bounded. What stretches it is source documentation that has to be written or corrected first.

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Let’s talk about what you want to achieve

Tell us about your challenge. Our team will help you define the next step.