AI Literacy
Your AI adoption is not zero.
You just have not measured it.
Somewhere in your company, someone is pasting client data into a chatbot. Someone else has quietly become very good at it and told nobody. A four week programme that finds out what is actually happening, teaches your people to use AI well, and leaves you with a plan you can act on.
The baseline
Most companies guess. Then they see the number.
Every owner I speak to believes their AI usage is close to nothing. It never is. Staff adopt these tools on their own, without a policy to follow, because the tools are free and the work is hard.
That is not a discipline problem. It is an unmanaged one. The first week of this programme is a shadow AI audit: what your people already use, what they put into it, and what comes back out. You get a number, and the number is the reason the rest of the work makes sense.
What you get
An adoption baseline
What is in use, by whom, and for what. Scored so you can compare it against next year.
The low hanging fruit
Where AI genuinely helps you, ranked by effort against value, with the data conditions each one depends on.
The risks, named
What your current usage exposes you to. Confidentiality, accuracy, and the obligations that already apply to you.
Best practice for your industry
Not a generic policy. What good looks like for a business with your model and your constraints.
A twelve month roadmap
Sequenced, with named owners, and short enough to be read.
A literacy record per attendee
Dated, naming the person and what was covered.
Four weeks
Short enough to finish. Long enough to be true.
Before we start
Tool inventory, a questionnaire, and the shadow AI survey goes out.
Week one
Interviews and the audit, scored against a simple maturity model.
→ You get the baseline number
Week two
The session. Half a day, your team, live.
→ You get three things to do that week
Week three
Opportunities, risks, and the data underneath them. Nothing counts as easy if the data is not there.
Week four
The roadmap, the one page policy, and the handover.
Two things land before the end. The baseline number in week one, and a Monday list in week two. By week four the roadmap confirms a direction you have already started moving in, rather than being the first thing you receive.
The session
Nobody learns this from a slide.
The middle of the programme is half a day with your team in one room, working. Not a lecture about risk. Your own workflows, run with AI in front of everybody, including the parts where it goes wrong.
People find the failure modes themselves: the confident answer that is wrong, the information that should never have been pasted in, the output nobody can trace back to a source. And the opposite case, the task where the tool is genuinely better and refusing to use it is the mistake.
I run training as a working session because I build training software. LeanLeren is a platform I built where a room of people run one simulation together and then argue about their own numbers. Same principle here.
Price
EUR 6,500
Fixed fee, four weeks, remote first
One price, agreed before we start.
Everything runs remote unless the session is better in your building, and it usually is.
Dutch SMBs may be able to claim 60% of this back.
The SLIM scheme funds exactly this kind of work for MKB employers: an assessment of the business that produces a development plan. You apply, not me, and applications open in set windows during the year. I supply the quote and the plan in the shape the application needs. Whether you qualify depends on your company and your application, so treat the number as an indication and check it before you count on it.
Who it is for
Dutch and European SMBs, roughly 20 to 250 staff, where AI is already being used informally and nobody owns it yet.
It works best when the person who can change policy is in the room. If you are already under active regulatory pressure and need a classification inventory and a defensible position, that is a different piece of work. Start with the AI Act Briefing or the Position and Roadmap instead.
I advise on implementation, documentation and literacy. I am not a substitute for legal counsel on interpretation, and I am not a subsidy adviser.
Common questions
- Do we need to know anything about AI first?
- No. The programme starts by measuring where you are, and where you are is a valid answer whatever it turns out to be.
- Is this training or consulting?
- Both, and it is structured that way on purpose. Training alone changes what people know for about a fortnight. A report alone changes nothing. The session teaches, the roadmap makes it stick.
- Does this count towards the AI Act literacy obligation?
- Article 4 has required a sufficient level of AI literacy from providers and deployers since February 2025. This programme is built to contribute to that, and everyone who attends gets a dated record. It is not a certification, because no such certification exists.
- How much of our time does it take?
- Interviews in week one, roughly an hour per person for six to ten people. Half a day for the session. An hour for the handover. The rest is my time.
- Can you run it in Dutch?
- Yes. Sessions, interviews and the written deliverables, in Dutch or English.
- What happens after the four weeks?
- Often nothing, and that is fine. Where a company wants a named advisor for the longer run there is a monthly programme, and where the roadmap points at one obvious build, I build it.
The quickest way to know whether this is worth doing is to find out what your people are already doing. That is week one.
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