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Confident, not cautious
People stop guessing and start using AI daily, on real tasks, without fear of getting it wrong.
Education · for companies
Practical AI your team will use on Monday.
A hands-on seminar that takes your people from cautious to capable: grounded in how these models actually work, trained through serious hands-on time with Claude. Built and led by operators who run their own business on it, not trainers reading slides.
Most companies have already bought the AI. Copilot licences, a ChatGPT subscription, a policy nobody reads. What is missing is not another tool. It is a team that knows where AI genuinely saves time, how to prompt it well, and where the line sits on data and compliance. That gap is where the money leaks.
We close it with two things: the fundamentals of how these models behave, and serious hands-on work with Claude on your team's real tasks. The fundamentals do not change from logo to logo, so what people learn carries over to whatever assistant your company runs.
What your team walks away with
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Hours back each week
The repetitive reading, drafting and summarising that fills a week gets faster from day one.
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Safe and compliant
Everyone knows what to put in, what to keep out, and how to stay on the right side of policy and the AI Act.
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Your own playbook
You keep a prompt library and a short usage guide, tailored to your team, not generic slides.
What we cover
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How AI actually works, and where it fails
A clear, jargon-free model of what these tools do well and where they quietly go wrong, so people trust them appropriately.
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Prompt craft for real work
Writing prompts that get usable output first time, on the documents and tasks your team actually handles.
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Claude in practice
Serious hands-on time with Claude: structured prompting, long documents, analysis, drafting and review. The same techniques carry over to other assistants.
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Safe and compliant use
Data handling, confidentiality, the EU AI Act in plain terms, and a usage policy your team will actually follow.
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Automating the repetitive
Spotting the tasks worth automating and the ones to leave alone.
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Your department's use cases
Hands-on work on the real jobs your team does, so the learning sticks to the work.
How the engagement works
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Goals call
We start with a short Teams call to agree what the workshop should change: the team, the tasks, the tools and what a good outcome looks like.
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The live workshop
In person where we can, online where we cannot, and in person is better. Hands-on, on your own tools, in small groups. The whole session is transcribed and documented, so every question and answer is captured and nothing is lost.
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You put it to work
Participants take the skills back to real work and use them for a week or two, on the tasks that fill their week.
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A one-on-one, included
Seven to fourteen days later, we schedule an included one-on-one with each interested participant, to see what changed, unblock anything, and answer the questions that only surface once you have tried it.
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A change report
You receive a written report on what was covered, what people did with it and the change it made. For whoever paid for the workshop, that is the proof it worked.
On-site at no extra cost. We do not bill travel for workshops anywhere in DACH, Benelux or the UK.
We build AI systems for regulated businesses for a living. The seminar comes from that work, not from a training catalogue. You get the person who has actually shipped this, in front of your team.
We teach what we use. Claude runs our own work every day, and the fundamentals we teach hold across every assistant on the market, so the skills survive your next tool decision.
- A prompt library tailored to your team's work
- A short, plain-language AI usage policy
- A department playbook of the use cases that pay off
- The session recording and materials, yours to keep
- A named contact for follow-up questions
Questions
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What group size works best?
Up to about a dozen keeps it hands-on. Larger groups run as a programme across sessions.
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German or English?
Both. Set your preference when you build the package.
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Do we need to prepare anything?
Just access to your usual tools. We bring the rest and adapt examples to your operation.
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We use Copilot or ChatGPT, not Claude. Does this still fit?
Yes. The seminar teaches fundamentals that hold across assistants, practised hands-on with Claude because that is the tool we work with at depth every day. People apply the same techniques in whatever your company runs.
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Is our data safe in the session?
Yes. We work on anonymised examples and teach exactly what should and should not go into these tools.
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Can it be tailored to one department?
That is the point. The builder lets you set the team and focus, and we shape the content around it.
Build your package
Build your team's seminar and request a proposal.
Set the team, the size and the focus, then send it over. You get a tailored proposal, usually within a day or two.
Groups of up to about twelve stay hands-on. Larger groups run as a programme.
Pick one or more.
On-site is preferred, and travel is not billed in DACH, Benelux or the UK.
Ready to get your team genuinely using AI?
Build a package and request a proposal, or talk to us first.