AI decisions for leaders
What deserves attention now, what can wait, and which questions should be answered before budget or reputation is committed.
Trainings and workshops
Bring the work your team is actually struggling with.
A useful AI training should change a conversation, a decision, or a piece of work. I start with your situation, not a catalogue of tools.
A workshop can look successful and change nothing.
People enjoy the demos, save the prompts, and return to the same process on Monday. That usually means the session never reached ownership, incentives, risk, or the work itself.
Start with a real process
Who does what today? Where does the work wait? Which exceptions require experience?
Let disagreement into the room
Risk, operations, and leadership often see the same use case differently. The workshop should surface that.
End with one honest next step
Sometimes that is a pilot. Sometimes it is better data, a named owner, or a decision to stop.
The depth follows the room.
A board may need to challenge an investment assumption. An operations team may need to redraw a handover. A public organisation may need to decide what accountability means in practice. Those are different sessions.
Three ways to work.
Duration follows the question. A briefing creates direction. A workshop works on the problem. A longer track makes room to test what the team decided.
2 to 3 hours
Executive briefing
A focused session for boards and leadership teams: what AI means strategically, where it creates value, what to decide next.
Half or full day
Working session
A team brings one process or business question into the room. We examine where AI helps, where judgment stays human, and what is worth testing.
Several weeks
Adoption track
For organisations that need time between sessions to test assumptions, involve owners, and learn from real use rather than workshop energy.
Four useful starting points.
These are conversations I often enter. Your situation may combine two of them or require a different question.
AI inside a real workflow
Bring one process. We trace the handovers, exceptions, data, and judgment before deciding where AI belongs.
Agents and human control
A practical look at what an agent may do, what it should never decide alone, and how people can challenge its output.
Trust and responsible adoption
Policies become useful only when a person knows what to do with a doubtful answer, an exception, or a failure.
Or a program built around you
Tell me where the discussion is stuck, who will be in the room, and what has already been tried. That is more useful than selecting a course title.
Teams leave with work, not just notes.
A shared language for discussing AI without pretending every person needs the same depth.
One process, decision, or use case examined closely enough to expose weak assumptions.
A next step the team can explain in its own words.
Built organisations. Teaches. Ships products.
Otman ran an international technology company for over two decades, founded AI ventures, and teaches as a university professor. He is not explaining AI from a distance.
That matters in a room. When someone asks a hard question about governance, or why a pilot failed, or what their team actually needs to change, the answer comes from practice, not a framework slide.
Questions
Common questions before booking.
Something not covered here? Just ask and I will get back to you.
Is this training technical?
It can be delivered at different levels. Executive and business sessions are non-technical and focus on understanding, use cases, and decision-making. Bootcamps and implementation programs go deeper into workflows, agents, data, and architecture.
Is this only about ChatGPT?
No. A tool may be part of the session, but it is never the whole session. We connect AI to the work, the people using it, the decisions around it, and the risks that appear in practice.
Can the training be customised?
Yes. The audience, sector, current maturity, and one real organisational question shape the session. Existing material is adapted only when it serves that context.
Can a workshop lead to real implementation?
Yes. If the room finds a use case worth pursuing, a longer track can help clarify ownership, test assumptions, design the pilot, and learn from actual use.
What makes this different from a standard AI workshop?
The session can move between technology, business, behaviour, and governance without treating them as separate problems. The discussion stays close to real work and real decisions.
In which languages and where can it be delivered?
Sessions run in English, Dutch, French, or Arabic, online or in person, across Europe and the MENA region.