About

Business. People. Technology.

For more than 17 years, my work has moved between all three.

My career did not start in technology. It started with people, learning and real business problems.

I began in adult education and consulting, working across different sectors and with people in very different roles. That experience taught me something that has stayed relevant ever since: a good idea only matters when people can understand it, connect it to their reality and actually do something with it.

Over time, my work expanded beyond facilitation and consulting into leadership as well. I have led teams ranging from smaller local setups to international teams in corporate environments. Being responsible for people and outcomes gave me a different perspective on organizations — not only how change should work in theory, but what it feels like when you are expected to make it work in practice.

More than a decade of my career has also been closely connected to the automotive industry. Working in and around large, complex organizations gave me first-hand experience with scale, processes, competing priorities, internal dependencies and the considerable distance that can exist between a promising idea and something an organization can genuinely implement.

As my work moved further into business transformation and technology, AI brought many of those previous experiences together unusually well. It is a technological shift, a strategic challenge and a change in human behaviour at the same time.

Today, a large part of my work sits exactly at that intersection. I help organizations understand what AI means for them, decide what is worth doing, turn possibilities into practical initiatives and help people and leaders adopt new ways of working.

The common thread across those 17+ years has remained surprisingly consistent: I enjoy taking complicated situations, finding the structure inside them and making the next step clearer — and useful.

Portrait of Michal Holub

How I work

Understand before prescribing.

The same AI use case, leadership approach or process change can work brilliantly in one organization and fail completely in another. Before recommending a solution, I want to understand the context, the actual problem and the system around it.

Make it usable.

A solution only has value if people can understand it, trust it and actually work with it. Complexity may sometimes be unavoidable behind the scenes. It should not be unnecessarily transferred to the person expected to use the solution.

Challenge constructively.

Good advisory work is not about agreeing with everything a client says. It means asking better questions, testing assumptions and being willing to say when an attractive idea probably does not make sense.

  • 17+ years

    across business, consulting, learning and organizational development

  • 10+ years

    closely connected to the automotive industry

  • Leadership experience

    from smaller teams to international corporate teams

  • From teams to board level

    AI, transformation, leadership and learning

Business administration background · corporate, startup & consulting experience · working in Czech and English

Outside the work

I'm based in the Czech Republic and naturally curious about technology, games, education and how people make decisions. That curiosity is probably why my own projects tend to move between business, AI, communication and occasionally things that seem completely unrelated to consulting at first.

If there is one thing those different roles and environments have taught me, it is that complexity rarely disappears by itself. Someone has to make sense of it, ask the right questions and turn it into a next step people can actually use.

That is still the kind of work I enjoy most.

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