Briefing
Half a day- What agents do today
- Where the leverage is
- Not included: Choosing the first use cases
- Risk and governance
- Not included: People and change
- Not included: The rollout plan
You leave with A shared view of where agents fit
AI training for leadership teams
AI agents for your leadership team.
Grow the company. Keep the headcount.
- ½ to 2 days
- On site or remote
- English or German
Where the scale comes from
Every department repeats the same steps every week. Agents carry that volume work, and the capacity it frees goes into growth.
Illustration: in a company's week with agents, the six kinds of volume work listed below take up far less of the team's time, and the capacity freed goes into growth without new hires.
- Operations and back office Orders, invoices, data entry.
- Sales Proposals, lead research, follow-ups.
- Customer service Enquiries sorted and answered.
- Reporting and finance Month-end numbers, summarised.
- Internal knowledge Answers from your own documents.
- Your own desk Board papers, investor updates, inbox.
Every hour agents take on is an hour you do not have to hire for.
Is this for your company?
Booked by one company for its own leadership team, three to twelve people.
A good fit
- Founders and managing directors
- Growth capped by hiring
- Teams trying AI tools without a plan
- A plan, not another demo
Not a fit
- A keynote on the future of AI
- A use case you need built
- Cutting jobs by next quarter
One course, three depths
AI Agents for Leadership Teams, always run on your own company's work. The length decides how far you get.
Workshop
1 day- What agents do today
- Where the leverage is
- Choosing the first use cases
- Risk and governance
- People and change
- Not included: The rollout plan
You leave with Your first use cases, decided
Programme
2 days- What agents do today
- Where the leverage is
- Choosing the first use cases
- Risk and governance
- People and change
- The rollout plan
You leave with A written 90-day rollout plan
Taught by an engineer who studied people
He has helped run a company, built its automation himself and studied why people resist change.
Co-founder and CTO
6 years running The Happy Beavers
80% of manual work automated
Studied people
Top 2% in a master's in management
BSc Psychology
- 150+ freelancers on a core team of 11
- A startup profitable in 4 months, sold after 8
How a booking works
Three steps. The first is a free call.
-
01
Free call
Thirty minutes on where your company is heading and where the work piles up.
-
02
Tailoring
Built on three or four real processes you send beforehand.
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03
Working session
On site or remote. Your leadership team leaves with decisions made.
Further reading
Articles from the blog on the topics behind this service
Claude's text watermark: what it is, who can check for it, and whether it washes out
August 13, 2026
Luka Breitig
Anthropic quietly began watermarking everything Claude writes. I went through the announcement, Anthropic's technical write-up, the law that prompted it, and the research on whether a watermark like this can be detected or removed. Most of the advice going around is nonsense, but not all of it.
From chatbot to agent: a step-by-step mental model for understanding agentic AI
January 4, 2026
Luka Breitig
Moving from conversational mimicry to autonomous execution: understand how agentic AI systems pursue complex goals, use tools, and adapt to changing environments through a continuous reasoning loop.
Training for other teams
The same approach, built around different work.
Engineering teams
Hand whole tasks to Claude Code, Cursor and Copilot. Ship more with the same team.
Training for engineersMarketing teams
Build no-code agents for research, drafts and reports. No technical background needed.
Training for marketingPrefer a fixed curriculum? Every packaged course is in the catalogue.
Questions leaders ask
Asked before almost every booking, answered honestly.
Some tasks, yes; that is the point. Whole roles, rarely, and that is not what this course is for. The leverage is in growing without hiring for every new piece of work: the volume work moves to agents, and the people you have take on the work you could never staff. If the goal is cutting jobs next quarter, I will tell you in the first call that I am the wrong person.
A fixed price per booking, not per head, depending on the depth you choose and whether it runs on site. You get it in writing after the first call, before anything is booked. The programme's rollout plan also puts a figure on what running agents will cost you afterwards.
Not for the course: it assumes no technical knowledge, and most of it is decisions rather than tools. It does shape the plan. Many first use cases run on tools you can buy and set up without a developer, and the course is honest about which ones need someone technical, in-house or bought in.
It is settled first, not afterwards. The briefing already covers which data may go to which provider, what a data processing agreement has to say, and where the EU AI Act applies to you. The exercises use material you have cleared, or anonymised examples, so nothing sensitive leaves the company for the training.
The first use cases can be running within weeks, and the rollout plan is built so that something measurable happens in the first 30 days. Growing without hiring is a matter of quarters, not days, so the plan also says what you measure along the way, and you can see whether it is working before you commit more.
Something else on your mind?
Bigger company, same team.
Tell me where your company wants to be in a year and where the work piles up today, and I will tell you honestly how much of it agents can carry.
In English or German, on site or remote.