We train your team on AI, until it no longer needs us.
We find out where your team stands on AI and build up, step by step, the AI literacy it needs for its daily work.
The problem is rarely the AI. It's the uneven level within the team.
Uneven level in the team?
No common line?
Constantly new tools?
New headlines every week — hard to judge what is truly relevant.
Knowledge tied to individuals?
Know-how stays with individuals — instead of the team.
No time to ramp up?
Much is left undone — systematic learning doesn't happen in daily business.
What holds up and what just sounds good.
For almost ten years we have been building software with AI ourselves. We only pass on what has proven itself in our own practice.
From ongoing hands-on practice
We train with the tools our own teams use today.
Focused on everyday work
Only methods that actually hold up in your team's daily business.
No curriculum from yesterday
Content we adapt continuously instead of writing it down once.
Our offering
AI training sized to your team's needs
We train individuals, whole departments or the entire team, as a compact workshop or as ongoing support. The scope follows your needs, not a fixed course programme.
AI fundamentals
Fundamentals and safe, GDPR-compliant use of AI.
AI in everyday work
AI in daily work for specialists and managers: researching, writing, analysing, deciding.
AI-assisted development
What makes sense in development changes almost monthly. That is exactly why we train from our own ongoing practice.
From assessment to production use
Our method
Assessment
Who stands where, who already uses AI. The result shows where the leverage is greatest. We create a skills map of the team and list internal multipliers who can lead the way.
Tailored skills
Workshops and skills built around your team's real tasks, not a generic curriculum.
Anchoring in everyday work
Training alone doesn't change behaviour. We secure early visible wins, name owners and enable internal multipliers so the team keeps developing its own skills.
What stays
These results stay with the team, independent of any further collaboration.
What this means in practice.
Skills that live on in the team after the project.
| Client | What we did | Result |
|---|---|---|
AssistMe Healthtech · IoT · monitoring | AI knowledge was unevenly spread across the dev team. Our coaching on Claude covered custom skills, plugins, MCP connections and repository rules. We also set up AI-assisted code reviews. | Faster reviews 30 to 50% faster, by the team's estimate. |
Family Office Financial & asset management | AI know-how sat with a few people. After our coaching on Claude, the team built its own skills and partly automated its first processes. That led to the plan for a payment data platform, which we built next. | First processes automated in house Saves several hours of data entry per week. |
Build skills that stay.
We analyse where your team stands and build the skills it needs to work with AI independently.