It's required, legally
Since early 2025 the EU AI Act requires every organisation that uses AI to make its people sufficiently AI-literate. That duty applies immediately, with no transition period.
First cohort · in development with knowledge institutions in the northern Netherlands
Learning about AI that never goes stale.
One learning environment that grows with the field, personal to each person. So your organisation keeps a steady grip on AI instead of always playing catch-up.
You probably recognise this
A few enthusiastic people use AI all the time. The rest hold back. And nobody is sure it really pays off. Meanwhile the gap grows between those who can work with it and those who do not yet dare, and regular education moves too slowly to close it. We are building the AI Academy so you can catch up yourself, without becoming dependent on an expensive outside party.
Continuous learning, personal to each person
The AI Academy does not stand still. We continuously assess new models and tools for reliability, compliance and usefulness. When something appears that does a certain kind of work better, we translate what it means for your role and bring it to the right people as short, usable knowledge. The content does not age, it grows along.
Not everyone needs the same knowledge. The Academy keeps track, per person, of what someone already knows, what their role is and what their goals are. A marketer sees different content than a lawyer, a beginner a different path than an advanced user.
a starting photo, not a test
Your profile across four domains
A starting photo, not a test
Your profile builds up across four domains: understand, use, make and use responsibly. The Academy aligns everything with it.
Knowledge comes to you
Short updates show up in Teams, on the channel where you already work. In two minutes you know what a model update means for your work. Learning comes to you, not the other way around.
Learning together as a team
A monthly knowledge-sharing session where everyone shows what they learned and applied. That builds a learning culture, not separate training moments.
Behind the same login, everyone sees their own path:
Marketer
Lawyer
Operations
Why this matters now
AI changes faster than people can keep up. The most cited reason companies have not adopted AI yet is a lack of experience, not a lack of technology.
It pays off right away
The models are so capable that a good personal assistant raises productivity sharply. That gain is there for the taking, for those who know how to use it.
Fewer people are coming
With an ageing population and declining intake, the number of working people is falling while the work is not. AI is one of the few levers you can really pull.
The north wants to invest heavily in AI and needs thousands of people who can work with it over the coming years. Keeping broad, current AI knowledge in the region is something we do together with the knowledge institutions in the northern Netherlands.
Knowing where you stand, and being able to prove it
Underneath the Academy lies our way of measuring where an organisation and its people stand. We place the organisation on one of five phases. We measure people as a profile across the four domains. We measure at the start and again after the learning steps, so progress is there in black and white.
From first exploration to building on your own
1
Exploring
loose experiments
most organisations start here2
Operational
AI in daily work
3
Scaling
across teams
4
AI-first
standard in processes
5
Self-sustaining
building on your own
the goalGrowth becomes a fact, not a feeling
baseline after 6 weeks
Baseline recorded, per person and per domain
Basics completed: what AI can and cannot do
Responsible use tested and up to standard
Report grows along automatically
The AI literacy the EU AI Act asks for, you build up this way in a structured manner and make provable, with a report you can show to a regulator.
The measurement shows self-reported confidence and learning effect, not an exam result. Traceable and honest.
What an organisation gains
Time back
People who learn to use AI responsibly win back time on recurring work. We measure that per client, before and after, instead of promising a fixed number.
Grip and direction
One clear picture of where you stand and what the next step is, instead of loose experiments and knowledge that sits with one person.
Provably compliant
The AI literacy from the EU AI Act, you build up in a structured manner and make provable.
Independence
The goal is that the organisation can eventually do it itself, without staying dependent on us or a vendor. That is the end point, on purpose.
From getting skilled with AI to an organisation that builds on its own.
Join the first cohort?
If you want to make your people skilled with AI and be able to prove it, we are glad to think along about how the AI Academy fits. Tell us what is going on with you, and we will look together at the first step.
Or book half an hour to spar with Anthonie, no strings attached.
Are you a knowledge institution that wants to help build the region? We would love to get to know you.