AI Implementation

From experiment to AI implementation

Almost every organization has tried something with AI by now. A tool here, a pilot there, an enthusiastic colleague who built something clever. What's usually missing is the step to something that keeps running: connected to your own data, built into your systems, and reliable enough to hand real work to.

That's where we come in: AI that gets past the pilot. To us, AI implementation isn't another piece of advice or a demo. It's software that runs inside your process. We find out where the gain is, we build it, and we hand it over to your own team.Pilots that stall. Tools nobody uses. Ideas that sit on the shelf because nobody knows where to staart. That's the gap we close: from opportunity to working software.

What we do with AI

Six directions in which AI takes work off your hands. Which one fits depends on where your time is leaking now.

Process automation

Processing invoices, checking contracts, moving data between systems. Work that comes back every week and costs time every week. AI does the groundwork, your team reviews and decides.

AI assistants

A chatbot or internal assistant that answers questions based on your documentation, contracts or manuals. Not what a model once read somewhere online, but what's actually true inside your organization.

AI agents

A step beyond answering questions: an agent picks up a task, works through the steps and reports back. Exactly as far as you want it to go, with a human wherever judgment matters.

LLM integrations

Linking language models to the systems your work lives in, from ERP to document storage. With the right boundaries, so AI only sees what it's allowed to see.

AI features

Smart search, an assistant for your users, or features that couldn't exist without AI. We build them into your existing software, not alongside it.

Internal AI tools

Small applications that solve one specific problem for one specific group. Often the fastest to pay off, because the people using them know exactly what they need.

Where to start? Two ways to begin, depending on what you already know.

AI Readiness Scan

Not sure yet where the opportunity is? In two weeks we map out where AI delivers the most in your organization, what it asks of your systems and data, and what's not worth starting. You get a concrete plan, not a thick report.

View AI Scan

AI Automation

Already know which process needs to be faster? Then we build it. Start small with a working pilot on your real data, then integrate into your systems and hand it over to your team.

View AI Automation

Either way, you see something working within weeks, not months. A first prototype is often up and running faster than the meeting schedule to discuss it.

Where AI is not the answer

Not every process gets better with AI. If something happens a few times a month, automation won't pay for itself. If a decision genuinely requires human judgment, a human belongs there. And sometimes a simple integration or an if-this-then-that rule is just the better solution, without a model thinking it over.

When that's the case, we'll say so. You get advice that's right, not a project that has to happen.

What we work with

We're not married to one vendor. Depending on what you need, we work with the large models from OpenAI, Anthropic and Google, with open models you can run yourself, or with European alternatives.

We make that choice together, and it mostly depends on your data. Sensitive information doesn't have to leave for the US. We can build in an isolated environment or entirely on your own infrastructure, with security and compliance from the first line of code. That's not an add-on, that's how we build.

What we do

AI in the rest of our work

AI isn't a separate department here. It runs through everything we do.

Engineering

AI as an accelerator in the software we build for you, with craftsmanship as the foundation.

Consultancy

Strategy, governance and the EU AI Act. Thinking it through before anything gets built.

Academy

Teaching your own team to work with AI, from product owners to engineers.

Questions?

A few things people often want to know.

Where should we start with AI?

With a process where time is demonstrably leaking, not with the technology. If you don't know which process that is, the AI Readiness Scan is the place to start. If you do, we can start building almost immediately.

Can you also just advise?

Yes. Some clients want to know what's sensible first and build it themselves afterwards. That works fine. We're just not the kind of agency that leaves a report and disappears: when we advise, we do it from the practice of building.

Does our data have to go to OpenAI or the US?

No, it doesn't. We can build with European models, open models you run yourself, or isolated cloud environments. What fits depends on how sensitive your data is. We decide that together at the start.

How long before we see something?

A first working version is usually up within a few weeks. We work in steps that each deliver value on their own, so you can adjust along the way instead of only at the end.

What if AI turns out not to be the right solution?

Then we'll say so, even when it costs us the work. Sometimes the conclusion is that a simpler integration solves the problem better. That's a result too.

Does this work with our existing systems?

Yes, that's the starting point. We don't build a separate tool on the side. We connect to what you already have: your ERP, CRM, document systems or your own software.