Make your business run the way it should

Start by looking at the work, not the tools. Most inefficiency comes from processes that were never properly designed: recurring mail, approvals and rework that pile up. We map that work, redesign the process, and automate what is left, so the routine runs itself and your people focus on the decisions that matter.

When everything stalls the week you are away, the problem is not you, it is work that was never designed to run without you. We map what keeps landing on your desk, redesign those recurring loops so they run by time or by goal, and leave you the decisions that genuinely need you. The work no longer depends on you being in the room.

A Forward Deployed Engineer works inside your business instead of delivering a report from the outside. They learn how your work really runs, connect your systems, build a working solution with your people, and stay until it works in daily practice. The term comes from tech companies like Palantir and OpenAI. It is a good name for what we do: we don't just advise, we redesign the process and build what runs it.

Loop engineering means looking at everything that keeps landing on your desk (mails, orders, approvals) as recurring work instead of one-off tasks. We design that work so it is handled automatically, by time or by goal. The work flows on its own, with clear checkpoints where you still decide.

Graph engineering is mapping how work actually flows: the chains, branches, decisions and repeats. For each step we decide who or what should handle it: a person, an AI, or simple logic. It is a clear picture of your process that makes redesign and automation possible without guesswork.

Automating speeds up the process you already have, flawed parts included. Redesigning asks whether those parts should exist at all. Often steps only survive because trust broke once, years ago, like keeping an Excel to track that other Excels were filled in. We redesign first, then automate what is genuinely needed.

Because they start with a tool instead of the work. A bigger ERP or a ChatGPT licence on top of a messy process just moves the mess around. The value comes from spending a few hours understanding the process, redesigning it, and only then building, measured in euros, not features.

Depending on where you start: a process scan that maps where time is going, a redesign-and-build engagement that produces working software with clear hand-offs (not slides), ongoing scaling and support, or upskilling your team to steer what's been built. Governance and EU AI Act readiness are included where they matter.

A new tool doesn't fix a process that was never properly designed. We look at the work first, redesign it, and only then build what genuinely helps. A licence doesn't change how the work flows.

AI in the cloud is an assistant that waits for your question. Cowork is AI that works inside your process: it picks up the recurring work, handles it within clear checkpoints, and hands back when you need to decide. Not something you query, but something that runs alongside you.

Harness engineering is building everything around a model so it works reliably inside your business: the connections to your systems, the checkpoints, and the logic that decides when a human, an AI or simple rules take over. The model is not the work. The harness around it is.

AI takes over the recurring work, not the people. Your team moves from doing to steering: less time in mail and repeat work, more in the decisions that matter. That shifts roles, which is why we build the skill of steering along with the solution.

Adoption stalls when you impose a tool on a process no one redesigned. We build inside your business, with your people, and stay until it runs in daily practice. AI lands by redesigning the work itself, not by sending a roll-out email.

We put a number on it up front: which process, how much time or rework disappears, and what that is worth in euros. That number decides whether we build at all, and it is what we measure against afterwards. Value in euros, not features.

For most SMEs the EU AI Act is manageable: know which AI you use, classify the risk, keep human oversight where it matters, and document it. We build that in while we redesign and build, so compliance follows the work instead of blocking it. Readiness where it is relevant, not paperwork for its own sake.

Small and mid-sized businesses across Europe, with a focus on the Benelux, and especially the CEOs, COOs and CIOs who are most directly caught up in work that was never properly structured.