aceArt · AI Agency

AI Training for Companies

In most companies AI has long been in use, only nobody knows exactly who is using it and with what. Someone has a quote drafted, someone else drops a meeting transcript into a free tool, and somewhere in between customer data ends up with a provider whose name the management has never heard. A training session clears that up, and since February 2025 the law requires it anyway.

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The literacy duty in Article 4

Since 2 February 2025 the EU AI Act has required every company that uses AI systems to make sure its staff have sufficient AI literacy. The term in the text of the regulation is deliberately broad: it is about skills, knowledge and understanding that fit the role and the purpose of use.

Two points are regularly misunderstood. First, it does not only concern companies that develop AI, but also those that simply use it, and a team using ChatGPT for draft texts already counts. Second, there is no prescribed curriculum and no official certificate. What is required is a level of knowledge that fits the actual use, and evidence that you have dealt with it. More on the EU AI Act in the glossary.

What you should document

  • Who was trained, when, and with what content.
  • Which AI tools are allowed in the company at all, and for which tasks.
  • Which data may be entered and which may not.
  • Who gets asked in case of doubt, before anyone tries something new.

These four points are done in a couple of pages and solve the largest part of the problem. The effort is not in the writing, it is in making the decision once.

What we train

Fundamentals for everyone

What a language model does and what it does not. Why it sounds convincing even when it is wrong. How to spot an answer you should not trust. This unit is the most important one, because it changes how people read the results, and it therefore lasts longer than any tip about a tool.

Working with the tools

Prompts that work reliably, instead of collections of formulas from the internet. How to improve a result on purpose. Where the tools really save time in everyday work and where fixing the output takes longer than writing it yourself. We practise this on your real tasks, not on textbook examples.

Handling company data

The part that is worth the most afterwards. What may go in, what may not, and how do you tell the difference? How do you behave with customer data, job applications, contracts? We work with cases from your own company here, because abstract rules do not get recalled in daily work.

Going deeper where it is needed

For individual departments more is worth it: editorial and marketing work with the tools differently from sales, support or development. We cut these units to the tasks at hand rather than telling everyone the same thing.

How the training runs

We train remotely or at your site, in half-day or full-day formats. Groups stay small enough that everyone works themselves instead of only watching. No prior knowledge is needed, and we do not show anyone up who has given the topic a wide berth so far.

Before the date we talk with you briefly about what is already in use in the company and where it is causing trouble. That changes the shape of the day considerably, because a team that has worked with the tools daily for a year needs something different from one that is just starting. Afterwards you get a summary that works as evidence, and a short handout for everyday use.

Training from people who build with it

We are not a further education provider that has taken AI into the programme because it is doing well right now. We build AI into software, and the examples come out of that work. You notice it in one place in particular: we know the limits of the tools from our own experience, so we do not sell expectations that fall apart in operation.

Anyone who comes out of the training wanting to build something of their own will find the next step in the MVP workshop. And if it turns out that a process in the company needs automation more urgently than a training session, we say that too.

Frequently asked questions about AI training

Is AI training mandatory?
Article 4 of the EU AI Act has required companies that use AI systems to ensure sufficient AI literacy among their staff since 2 February 2025. It is enough that employees use AI tools in a work context. The regulation does not prescribe a particular form of training, but it does require a level of competence that fits the use.
What exactly does Article 4 require?
The text requires providers and deployers of AI systems to take measures so that their staff have sufficient AI literacy. Technical knowledge, experience, education and the context of use are all to be taken into account. That is deliberately left open: a development team needs something different from the accounts department.
How do we prove AI literacy?
There is no official certificate. What is common and sufficient is documentation showing that you have dealt with it: attendance lists, content, dates, plus an internal rule on how AI tools are handled. You get those papers from us after the training.
What does AI training cost?
That depends on the format, the size of the group and on whether we work remotely or on site. In the first conversation we work out the shape of it, and you get a written quote before anything is commissioned.
Is there funding for AI training?
There are programmes at federal and state level for further education and digitalisation that AI training can fall under. Whether one of them fits you depends on company size, location and scope. We look at it together in the first conversation, see also our page on funding advice.
How many people can take part?
We work with small groups so that everyone can try things out themselves. In larger companies we run several rounds, or we first train a group that carries the knowledge on internally. Which of the two fits better depends on how different the tasks in the company are.
Do you also train on a specific tool?
Yes, if you have already settled on one, we set the training up around it. We do recommend not leaving out the fundamentals though. Tools change quickly, the understanding of what a model can and cannot do stays.
We do not really use AI yet. Is it still worth it?
Usually it is being used already, only without any order and without anyone reporting it. A training session makes visible what is actually happening in the company, and is often the cheapest route to a rule that people also stick to.

Related topics

MVP workshop

For when what you learn should turn into something built straight away. To the MVP workshop.

AI consulting

For when the louder question is where AI should start in the company at all. To AI consulting.

AI automation

For when it turns out that a process needs automation rather than a training session. To the automation.

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