AI training for your team: with your tasks, not with slides.
Knowledge sticks best when it happens on real examples. That's why we train with tasks from your daily work: from your department, with your tools, at the level your team already has. On-site at your place or remote. Not classic consulting and not a standard course, but training after which AI actually gets used.
What is AI training at MacNorris?
A hands-on training for a team that should use AI in its daily work. Beforehand we briefly clarify together who's taking part and what you work with. In the training we then solve real tasks from your daily work with AI, step by step, until everyone can do it themselves.
Afterwards your team knows what AI is good for, where its limits are and how to use the tools safely. If you want to build AI into the company rather than just use it: AI consulting.
How the training works.
A short joint preparation, then we practise.
Short preparation
How big is the team, which department, how much prior experience? Which AI tools do you already use, including home-built ones?
Collect examples
We look for real tasks from your daily work where AI saves time.
Training
On-site or remote. We solve the tasks together, everyone takes part.
Use it day to day
Your team takes the examples along and keeps working with them the next day.
Typical AI training or with us?
| Typical AI training | AI training at MacNorris |
|---|---|
| Slides with examples from other industries | Examples from your daily work |
| Same course for everyone | Prepared for department and prior knowledge |
| Tool demo | You practise on your own tasks |
| Standard prompts | Prompts that sound like you |
| Shown once, then forgotten | Used in daily work afterwards |
What we train.
Depending on team and prior knowledge, not everything at once.
Prompting that works
How to ask AI so that useful results come out, in your voice and with your knowledge.
Your own assistants
Assistants that know your documents and processes, instead of starting from zero every time.
Data protection and rules
What's allowed in AI tools and what isn't.
Limits and mistakes
Where AI gets things wrong and how you notice.
Automation
Hand recurring processes over to AI.
Your tool stack
ChatGPT, Copilot, Claude or home-built: we train what you use.
AI literacy under Article 4: status November 2026.
What the EU AI Act requires from companies that use AI. Not legal advice, just the current status with sources.
Since 2 February 2025
Article 4 applies. Anyone who provides or deploys AI systems has to take care of their people's AI literacy.
AI Act Service Desk, Article 4 (opens in new tab)New since July 2026
The Digital Omnibus softened Article 4. It now requires measures that support AI literacy, not a specific level for every individual.
EUR-Lex, Regulation (EU) 2026/1744 (opens in new tab)Since 2 August 2026
National authorities supervise compliance. According to the European Commission, no certificate is required.
European Commission, AI Literacy Q&A (opens in new tab)
AI doesn't get good through training. It gets good when your team uses it.
What you want to know about AI training.
Since 2 February 2025, Article 4 of the EU AI Act requires companies that use AI to take care of their people's AI literacy. Since July 2026 this means taking measures that support that literacy. Training is the obvious way to do it, but not the only form. This is not legal advice.
No. According to the European Commission, the AI Act requires neither a certificate nor an AI officer. It makes sense to record who was trained when and on what, so you can show your measures if needed. More important than a piece of paper is that your team uses AI safely and sensibly afterwards.
Not much, but the right things. How big is the team, which department is it from, and how much experience with AI is there already? Are AI tools already in use, and if so, which ones, maybe even home-built? From that we pick real examples from your daily work to run the training on.
Both work. In Hamburg we're happy to come to you, more on that under AI consulting in Hamburg. Remote works just as well if everyone has their own device and takes part. On-site is often livelier, because questions land right at the table and colleagues help each other.
We name the price after the short preparation. Then we know how big the team is, how much prior knowledge there is and how much time makes sense. Our goal is a fixed price for the training, and you know it before we start. Hourly rates that double along the way don't exist with us.
Want your team to actually use AI?
Tell us briefly who should be trained and what you work with. We'll tell you what a training for you looks like.