Systems That Work
While Your Team Sleeps

If there is work that goes the same way every week, yes: retyping data, answering emails, passing on requests, updating reports. That work is predictable, and predictable work can be handed over. If in doubt, the first conversation shows it: we walk through your week and point at where the hours go.

Half an hour about how your business runs today, no slides. We ask questions, you tell us where it grinds. You leave with at least two concrete opportunities, even if we never work together.

No. We design, build and connect everything and teach your team the parts they touch. If you do have developers, we are happy to work alongside them.

Usually within two weeks of the conversation. We start small, with an audit and one or two automations, so you see the effect before building further.

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. That is all. You do not need documentation; we write it.

No. Most clients are growing companies of ten to a hundred people: big enough to suffer from manual work, small enough to decide quickly. What matters is that there is something to gain.

Automation follows fixed rules: if this, then that. An agent can read, weigh and choose, for example understand an email and decide the right next step. Often plain automation is enough, and we say so.

The ones you already use. We build on top of your current systems, such as your CRM, accounting, mail and planning, and connect them through APIs and webhooks. New tools only come in when they clearly add something.

A first automation usually runs within two to four weeks. Larger systems such as a connected back office or a dashboard environment take six to ten weeks, in visible weekly steps.

You do. Everything runs in your accounts, under your control, fully documented. You can stop at any time without anything grinding to a halt.

Data stays in your environment and within the EU wherever possible. We use only what a task needs, record which AI models see what, and never use client data to train models. A data processing agreement is part of every engagement.

Every system has monitoring and alerts, so we often see it before you do. Maintenance and adjustment are part of the work. If a tool or a process changes, we adapt the system.

That depends on what you have built and how much is attached to it. We work with a fixed scope per step, so you know up front what you get and what it costs. In the first conversation we give an honest indication based on your situation.

Because systems get better with attention. In a monthly format we stay responsible for the outcome, not just the delivery. A one-off project is possible too, for instance for one well-defined automation.

Yes, and we recommend it. The audit plus one or two automations is the natural start: you see the effect, then you build on.

Usually within a few months. We work out beforehand how many hours or errors a system removes, so you know the payback time before we start. If the sum does not add up, we say so.

No. No long contracts, no licences that only run through us. Everything is in your name, so you can always continue yourself or bring in someone else.

We name them up front. Some tools and AI models charge per use; that is separate from our work and goes into the scope, with an estimate of the monthly amount.

Every system gets a number before we start: hours saved, response time, conversion, error rate. We report against that, not against activity.

Then we adjust. Monitoring catches deviations early and refinement is part of every plan. If something structurally delivers too little, we say so and switch it off.

By building it into the tools the team already has open and by taking it into use together. A system nobody uses does not count as delivered.

The work that needs judgement: customers, decisions, exceptions. Automation removes the repetition, not the responsibility. Wherever it matters we build in a human check.

Yes. Everything is documented and built in tools your team can understand. Small changes you make yourself; bigger ones we take on together.

That is when it starts. We follow the numbers, improve where it pays and build on when the next process is ready. You have one point of contact and a fixed check-in.