An AI and automation agency builds the software that takes over recurring work inside the systems a company already uses. We do that for firms and agencies with 10 to 200 people, and we first work out whether it pays off.

Workflow automation is a system that carries out a fixed sequence of steps by itself, from the moment something comes in to the moment it is handled, without anyone in between. In our case that means, for example: requesting documents, sorting what comes in, updating the file, and only showing you what is ready for review.

The work that comes back every week, that nobody is assigned and that appears on no invoice: chasing documents, retyping intake, follow-up, the monthly report. It costs hours and brings in no revenue, so it shows up in no overview.

In three steps. First thirty minutes in which you tell us how a normal week runs and we ask the follow-up questions; no presentation, no proposal. Within a week you get a written plan from us: which processes swallow the most hours, which can be automated and which cannot, and what that saves per year in euros, calculated with your own figures. We go through that plan together in a second call, and it is yours, even if that is where it ends. Before we build, we work out together whether it pays for itself: an estimate, not a promise. If it does not come to at least 3x the price, we do not start and you pay nothing. After that you can cancel monthly, with a baseline up front so that every month you see in the numbers what has changed.

You can, and sometimes that is exactly right: for a simple connection a tool like Zapier or Make is often enough. Where it goes wrong is with workflows that have to keep working as you grow: nobody watches over them, error handling is missing, and the handiest person in the office becomes the only one who knows how it fits together. We build custom software the way a developer does: from a brief and a knowledge base, in our own code where that holds up better and with platforms like n8n where that is faster and easier to maintain. We prefer it to run in your own environment: then you own it, with logging and error handling underneath, and maintenance does not hang on one person.

That can work too, and increasingly well. Where it goes wrong: a system that picks an API without error handling or security, and that nobody understands any more once the person who built it leaves. We use the same tools where they are faster, but we test every build on maintainability, security and measurement before it goes into production.

Yes, and that is the first step we take. AI or automation on top of messy data mostly automates the chaos, not the work. We first put your data in order and connect the systems, and only then automate the rest. That way you avoid ending up with a system that does the wrong things faster.

No. We don't touch the way you work: the professional judgment, the client contact and the signature stay with your team. We build the automation around your existing process, in your own systems, so you don't have to learn a new package before the work gets picked up.

That differs per firm, so we do not name an end date up front. The order is fixed, though. First, thirty minutes in which you tell us how a normal week runs. Within a week after that you have a written plan: which processes eat the most hours, which ones can be automated and which cannot, and what that is worth per year. We go through that plan together, and only then do you know how much there is to do and in what order. After that we build month by month, with a baseline up front, cancellable monthly. Every cycle delivers something that runs, so you are not waiting for one big handover.