Briefing
Half a day- What agents do today
- Where agents add output
- 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
Take on more work without hiring for every new task.
In half a day to two days, your leadership team maps where agents can carry the volume work, picks the first use cases and settles GDPR and the EU AI Act.
- ½ to 2 days
- On site, remote or hybrid
- English or German
Where the scale comes from
Every department repeats the same steps every week. Agents carry that volume work, and your people spend the hours on work that grows the company.
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?
For one company's 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
- Leaders who want a written plan
Not a fit
- Inspiration with no decisions at the end
- A use case you want built belongs in development
- Cutting jobs by next quarter
One course, three depths
AI Agents for Leadership Teams runs on your company's own work. The longer the format, the further your team gets, from a shared view to a written 90-day plan.
Workshop
1 day- What agents do today
- Where agents add output
- 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 agents add output
- 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
For six years I sat on the leadership team of a growing company and built the automation that let it grow without hiring for every task. Psychology is why I plan for the people as well as the tools.
Co-founder and CTO
6 years co-running The Happy Beavers, a marketing agency
80% less manual work
Studied people
Top 2% nationally, in a master's in management
BSc Psychology
- 150+ freelancers run by a core team of 11
- A startup profitable in 4 months, sold after 8
From first message to working session
It starts with a few lines from you about your company. I reply myself, usually within a day.
-
01
A call about your company
Thirty minutes on where your company is heading and where the work piles up.
-
02
Tailoring
You send three or four real processes, and I build the session around them.
-
03
Working session
Your leadership team works on its own processes, on site, remote or hybrid, and leaves with decisions made.
Questions leaders ask
What founders and directors want settled before they book.
The first use cases can be running within weeks, and the rollout plan aims for something measurable in the first 30 days. Growing without hiring takes quarters, so the plan also sets what you measure along the way, and you see whether it works before you commit more.
It depends on the format, the size of the group, whether it runs on site and how much preparation it takes. Tell me about your company and we'll work out an offer that makes sense for both sides. You get the price in writing before anything is booked. The programme's rollout plan also puts a figure on what running agents will cost you afterwards.
Some tasks, yes; that is the point. Whole roles, rarely, and that is not what this course is for. The gain comes from 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 our first call that I am the wrong person.
We settle it first. 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.
No. The course assumes no technical knowledge, and most of it is about decisions. It does shape the plan. Many first use cases run on tools you can buy and set up without a developer, and the course marks which ones need someone technical, in-house or bought in.
Something else on your mind?
Grow next year without hiring for every new task
Tell me where your company wants to be in a year and where the work piles up today. A few lines are enough. I reply myself, usually within a day, with how much of it I think agents can carry.
In English or German, on site, remote or hybrid.
Training for other teams
The same approach, built around different work.
Engineering teams
Hand whole tasks to Claude Code, Cursor, Copilot and Codex. Ship more with the same team.
See engineering trainingMarketing teams
Build no-code agents for research, drafts and reports, and publish more with the same team. No technical background needed.
See marketing trainingJust you
One-on-one coaching on your own work: six weeks to build the habit, or a single session any time.
See one-on-one coachingIf you already know the tool and the length you want, every course is listed in the catalogue.
Further reading
Articles on how agents work, for anyone deciding where to use them
From chatbot to agent: a step-by-step model of how AI agents get work done
4 January 2026
Luka Breitig
Step by step, how an AI agent plans a task, uses tools and checks its own work, and how to tell which of your team's tasks it can take on.