A psychologist
who teaches AI.

You know that moment when everything looks perfectly planned, and yet the whole structure catches the wind and collapses like a house of cards?

Me too. And over time I started to notice that it was never a bug in the algorithm.

I didn't start with AI. I started with people. With that specific, frustrating and fascinating moment when someone knows what they should do, has the tools to do it, and yet… doesn't. What blocks them? What convinces them to change? And why do some innovations sail into a company without the slightest resistance, while others crash on the first ordinary human habit?

That question led me to study psychology. I wanted to understand the resistance. That invisible current that suddenly switches off the will to act.

Only later did I land in the world of data, BI and sales. And that's where I saw something that locked in my thinking for years. The real paradox. Technology almost never loses because it's weak. It loses because people simply don't understand why they should use it. The best system, the most advanced dashboard — they're all just an expensive gadget if they don't answer the one question every person asks in their head: "What's in it for me?"

For years I moved between those two worlds. Data & analytics, sales, implementations — working on the business side, sitting with the teams, looking through the customers' eyes. I watched great decisions being made. I also watched powerful organizations suddenly get stuck, torn between big ambitions and the inertia of everyday life.

In 2018 I started my own business in data and AI. I had to. I wanted to do it my way. And that experience — being inside busy corporations and in my own quiet office — hit me with one simple truth: the best solutions are completely worthless if you can't roll them out in a way that makes people actually want to use them.

That's why I do what I do today. I help companies jump from "hey, AI sounds interesting" to "hey, AI solves my problem." I train, I implement, I show how to use AI practically — in communication, sales, analysis and the whole everyday noise. Without pomp. Without promises that the algorithm will fertilize the soil and bring world peace. I have one simple goal: technology should produce results, not just impress the board.

Today I deliver AI training and implementations for global organizations — from Amazon and Accor to fast-growing teams across Europe. I lecture AI at postgraduate programs, and I co-organize AI Breakfasts Silesia — because knowledge only makes sense when it meets conversation, practice and real people.