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AI is changing what is possible. What does that mean for your work?
Maybe you are wondering whether your organisation should use Claude, ChatGPT or Copilot. Or employees are bringing in all kinds of AI tools on their own. Maybe you see competitors doing things that seemed impossible just a year ago.
You don't need to know yet what you need.
But the most interesting question is usually not which AI tool to choose.
The most interesting question is: what would you organise differently today if you could start over with the possibilities that exist now?
Maybe you have software you pay hefty licence fees for every year. A process full of manual work. Knowledge that only a few experienced people have. Or work where you wonder why it is still done this way at all.
We can look at that together
You don't need an AI strategy, and you don't need to know exactly what you need. Tell me how your organisation works, where time and money go, and where you see opportunities or frustrations.
Drawing on my systems engineering background, I help bring structure to that. For example, we look at:
- what you actually want to achieve;
- who needs to work with it;
- what knowledge and information that requires;
- what employees can do with AI themselves;
- what you need to organise together;
- which existing systems are still needed;
- where cost, quality, privacy or regulation set limits;
- and which new possibilities are interesting enough to try out.
The result may be a surprisingly simple solution. But it could also be a different way of working, a combination of existing AI tools, or software you can now have built for yourself.
From possibilities to a concrete next step
I don't help you introduce as much AI as possible. We look for the places where the new possibilities can genuinely make a difference.
That might result in advice on, say, Claude, ChatGPT or Copilot, but also in an AI architecture for your organisation, a shortlist of opportunities, or a small experiment that tests an idea in practice right away.
So you don't need to know which AI solution you need. A good problem, an interesting opportunity, or even just the feeling that something ought to be smarter these days is enough to get started.
Example — Property management
A property entrepreneur discovered that, with AI, he could build software for his property management himself — without a background as a software developer. Functionality he previously depended on specialised software and external services for, such as digital signing, he was able to build on his own. AI didn't just improve his existing work — it changed what he could do himself.
Not ready for a call yet?
Send me one or two sentences about what you are running into.