Service · half a day to several weeks
AI training that changes how people work on Monday.
Most AI training ends with a certificate and no change in behaviour. Ours ends with your marketing team using a prompt library they wrote, your finance team running a workflow they built, and your leadership knowing which decisions are theirs. In German or English, on site or remote, from a half-day briefing to a multi-week programme.
Why training, and why now
The tools are already in your company. The question is whether people use them well, safely and for the work that matters.
Employees have been using ChatGPT, Copilot and similar tools for a while, often on private accounts and with company data. Left alone, this creates two problems at once: real risk for data protection and confidentiality, and disappointing results, because most people never get past asking a chatbot a question.
Since February 2025 the EU AI Act also expects companies that use AI to ensure their staff have sufficient AI literacy (Article 4). The rule is deliberately open about how, so you can design something useful rather than tick a box. Our programmes are built to support compliance with that duty; whether they satisfy it in your case is a question for your legal advisers.
The training we run is practical to the point of being unglamorous. Participants bring their own tasks, leave with prompts and workflows that work on those tasks, and come back a few weeks later to show what stuck and what did not.
- FormatsBriefing, literacy programme, workshops, enablement, train-the-trainer
- DurationHalf a day to several weeks
- LanguagesGerman and English
- WhereOn site across Germany, or remote
Formats
Five formats, freely combinable, plus a follow-up that belongs to all of them. Most companies start with the briefing and the literacy programme, then add workshops where the value is.
Executive briefing
Half a day for leadership teams and boards. What language models and agents can and cannot do today, what the EU AI Act asks of you as a deployer, which decisions only you can take, and how to read an AI business case without being sold to. No slides about the future of work.
AI literacy programme for all staff
A short, modular programme for every employee: how the tools work, what they get wrong, which data may never leave the company, and how to use the approved tools well. Designed to support compliance with the AI literacy duty under Article 4 of the EU AI Act, with content and attendance documented.
Department workshops
One or two days with a single team, whether marketing, sales, customer service, finance, HR or operations. Participants bring real tasks and leave with tested prompts, templates and one or two small workflows they use the next day.
Agent-builder enablement
For power users who want to build their own assistants and automations: n8n, Microsoft Copilot Studio, projects in ChatGPT or Claude, and how to connect them to company data responsibly. Includes the guardrails your IT and data protection teams will insist on.
Train-the-trainer
We prepare internal multipliers to run the literacy programme and the department workshops themselves, with materials, exercises and a playbook for keeping content current as tools change. This is how training scales without a permanent consultant.
Follow-up and office hours
Four to six weeks after a workshop, a short session to review what people built, fix what broke and go one level deeper. Optional office hours for questions in between.
How a programme comes together
Needs check
A short call with the sponsor and, for department workshops, with the team lead: which tools are approved, what the team does all day, where the time goes. We look at real examples of their work in advance.
Design
We pick the formats and build the exercises around your tasks and your tools, not generic examples. For literacy programmes we align the content with your AI usage policy and, where you have one, your works council agreement.
Delivery
On site or remote, in German or English. Every participant works on their own tasks with the tools your company has approved, and we capture what works in a shared prompt and workflow library.
Follow-up
A few weeks later we return: what is in daily use, what was abandoned and why, what the team wants next. We adjust the library and hand over to your internal champions.
Measurement and handover
Adoption is tracked with simple signals: tool usage, contributions to the library, time saved on the tasks we started with. You get a short report and, if you want, a train-the-trainer track to carry on without us.
What makes training stick
Real tasks, not demos
Every exercise uses the participants' own documents, emails and spreadsheets. A prompt that works on someone's actual weekly report is remembered; a prompt that writes a poem about the company is not.
Follow-up is part of the format
Behaviour changes in the weeks after the workshop, when people try things alone and get stuck. The second session is where most of the durable value is created.
Internal champions
Each team names one or two people who own the prompt library and answer colleagues' questions. We coach them separately, and they are the reason usage keeps growing after we leave.
Measured adoption
We agree upfront what success looks like: how many people use the approved tools weekly, how many workflows are in daily use, how long the starting tasks take now. Numbers, not satisfaction scores.
Aligned with your rules
Training only sticks if it matches what people are allowed to do. We build sessions on your AI usage policy and the tools your IT has approved, so nobody learns a workflow they then have to abandon.
Tools we teach with
We teach with the tools your company has approved. Naming a product means we work with it, not that we resell it or hold a partnership.
Frequently asked questions
Does your literacy programme fulfil the Article 4 requirement of the EU AI Act?
It is designed to support compliance with it. Article 4 asks providers and deployers to ensure sufficient AI literacy, proportionate to people's roles, the context and the people affected. There is no official certificate and no fixed curriculum. We document content, participants and dates as evidence of the measures you took. Whether they are sufficient in your case is a judgement for you and your legal advisers, and the guidance is still developing.
How many participants per session?
Executive briefings work best with the actual leadership team, typically up to twelve people. Department workshops take six to twelve participants so everyone gets hands-on time and feedback. The literacy programme scales to any headcount: we run it in cohorts, with self-paced modules for shift-based or distributed teams.
Do you train on our tools or on yours?
On yours. We work with the tools your company has approved and within your data protection rules, because training on a tool people may not use is wasted time. If you have not decided which tools to approve, we help you decide first, as part of an AI strategy or in a short workshop with IT and data protection.
Can you run everything in German?
Yes. Every format is available in German or English, with materials in either language or both. Mixed teams are common; we agree the working language per session, and the prompt library can be maintained in both.
What do participants need to bring?
A laptop with access to the approved tools, and two or three real tasks from their working week: a report they write, a type of email they answer, a spreadsheet they maintain. We send a short preparation note in advance so the sessions start with work, not setup.
Is training enough, or do we also need consulting?
For many teams, training alone changes daily work substantially. Where a workflow spans several systems and people, or the volume justifies a proper agent, training tends to surface that candidate, and our agentic workflow automation service picks it up. Training often makes the business case for the next step obvious.
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Let's find the first workflow worth automating.
A 30-minute intro call, no slides and no obligation. We listen, ask about your processes, and tell you honestly where AI agents would pay off and where they would not.