A modular learning journey built around your real use cases: a shared core for everyone, followed by deep-dive stages for users, automators and developers. Transferable ways of working instead of click-by-click instructions — with security and governance built in from the start.
Reference: UnternehmerTUM →Digital colleagues need leadership. What does your team need?
Working with AI means leading: handing over tasks, briefing clearly, checking results, staying accountable. It can be learned — ideally on your own real work. That is what we train your team to do.
Three skills. One goal.
Working well with AI takes three things that belong together: mastering your own field, being able to lead, and understanding how AI works. It doesn’t take specialist technical training — and your team already has much of it.
Domain expertise
How do I check the result?
Domain knowledge remains the foundation. Only those who understand their own field can check a digital colleague’s results, delegate tasks sensibly and describe processes.
Leadership skills
What do I hand over — and how do I brief clearly?
Anyone working with a digital colleague takes on leadership tasks: understanding the bigger picture, structuring tasks, describing relevant context, assessing results, making decisions and giving feedback.
AI literacy
What can AI do — and where are its limits?
Those who understand how agentic AI fundamentally works can make better use of its capabilities and judge its limits more realistically. That includes a solid basic understanding of how AI “thinks”, uses tools, and how context and memory work.
Learning by doing.
We upskill your team with proven formats that we adapt to your company — on real tasks, with tangible results. More than tool training: skills grow when people delegate, review and give feedback themselves.
Example formats
How would an AI-native competitor attack our business — no legacy, no old routines, no sacred cows? A workshop that flips the perspective and turns it into concrete action points.
Ask about this workshop →Build working prototypes together, fast — for problems the team brings to the table. You end up with something that runs, and a realistic sense of effort and payoff.
Ask about a hackathon →Embed AI in discovery, delivery and teamwork — from research and prototyping to collaboration within the sprint.
Ask about this format →Experience AI as a team — and grow together along the way. The team works on a real task with AI tools: easy to get started, concrete in its results.
Ask about team building →The leap from pure chat use to agentic AI: how a prompt becomes a digital colleague that gets tasks done on its own — accessible and hands-on.
Ask about this training →In practice
Learning Journeys for AI Transformation
Designing and running modular learning journeys on AI agents and automation. Goal: building broad-based AI transformation capability across UnternehmerTUM.
“At orgaloom you immediately notice that AI isn’t treated as hype, but is designed by practitioners for real-world use in companies.”
Is your team ready for digital colleagues?
Let’s talk about which skills your team already has — and where upskilling makes the biggest difference.