AI Agents and Chatbots

An agent that knows when to act,
and when to hand over.

Chat, voice or email: the agent answers the common questions, takes the details, does the structured work and hands the rest to a person with full context. Handoff is designed in, not bolted on. And when plain automation is enough, we say so.

A white robot working through the stages of an AI agent on a glass interface: understand, access knowledge, take action, deliver results, human handoff

When this fits

  • The same twenty questions arrive by mail, chat and phone, every day.
  • Enquiries are answered the next day, and the fastest competitor wins the job.
  • Your knowledge lives in documents and in heads, and nobody searches either.
  • A chatbot was tried once, answered vaguely and was switched off.

What you get

  • Custom AI agents & assistants
  • Internal knowledge assistants
  • Customer service agents
  • Lead qualification agents
  • Tool-using & action-taking agents
  • Human handoff & escalation

How we work

  • First conversation. Half an hour about how your business runs today, no slides. You leave with at least two concrete opportunities, even if we never work together.
  • Audit and first build. We map the workflow, agree a fixed scope for one step and build the first agent within two to four weeks, trained on your own material, in the tools you already use.
  • Live, with monitoring. Every system gets a number before we start (hours saved, response time, error rate), monitoring and alerts, and a human check wherever it matters.
  • Yours, documented. Everything runs in your accounts, under your control, with documentation and a data processing agreement. You can stop at any time without anything grinding to a halt.

What we ask of you: access to the tools you use today, one point of contact on your side and an hour a week for check-ins in the first weeks. You do not need documentation; we write it.

Real projects

In CalcAI a language model drafts a quote from a plain-language job description and a person checks and sends it. In Kassabon.ai an assistant drafts a warranty claim under consumer law that the user sends. Both show the split we build into every agent: the model proposes, the engine or the person decides.

See AI automation when fixed rules are enough. See AI strategy if you want the workflow mapped first.

Yourworkflow,oursystem

We build systems that quietly take over work. One conversation is enough to see where it starts for you.