AI agents and automation

An agent that takes over one repetitive process in the tools you already use — run by us, priced by the outcome, with a person in the loop until the numbers say otherwise.

One process. Real work. Someone responsible.

We build an agent that takes over a specific piece of work in your process, put it into production, and keep it running.

The usual starting point is work someone already does every day — the hour that never ends, where the right answer is clear enough to measure. The agent works where that work already lives: mailbox, ERP, ticketing, Slack, a folder in Drive. Nobody has to learn a new chat window for the sake of it.

Every agent starts with a person approving the output. When the error rate is known and acceptable, that check moves to the exceptions only. Models and APIs change; monitoring, updates and error handling stay with us for as long as you run the agent.

If the goal is agent tooling for your developers in your repositories, that is a different offer: Your team, building with agents.

How a pilot works

We sit with the people who do the work
You leave with a short written description of what the agent will and will not do — including the awkward edge cases, not only the happy path.
A fixed offer for the pilot
One process, one agent, a success measure and a date. Typically live on real work within weeks, with a person still checking the output.
We run it
We operate the agent and report what it did and what it cost. Pricing moves to the outcome. Often the next step is another process — not a bigger chatbot.

Commercial

Pilot

Fixed price

One process and a clear success measure, agreed before the work starts.

Ongoing run

Priced by the outcome

The measure we agreed — for example matched documents, answered tickets, or drafted replies — not the hours it took to build.

What people usually ask

Where does our data go?

It stays in your systems, with the permissions you give. Nothing is used to train anything. Where data must stay in the EU, the model and hosting stay there too.

What happens when the agent makes a mistake?

Mistakes are scoped: anything outside what the agent is allowed to do goes to a person. Until the error rate is measured, a person checks everything; after that, only the exceptions.

Do we need a new interface?

Usually not. Most agents run in the background from an email, a file, a ticket or a schedule. You notice them when the work starts getting done.

Can you connect it to our old system?

If it has an API, a database or even an export, yes. Connecting systems is most of the job.

Name one repetitive process that eats time every week.

We will tell you plainly whether it is a fit for a pilot — and what we would measure.