Who I am

I'm an IT consultant
who teaches AI.

For twelve years I've helped companies roll out technology, and today I teach teams to work with AI in a way that makes sense for the people who use it every day. My starting point is their habits and worries, and the tools come only after that.

Przemek Blicharski in his office
My story

This is how
I got here.

Do you know those projects that look perfect on paper and fall apart like a house of cards once they go live?

I know them well. Over time I noticed that the cause was almost never a bug in the algorithm.

My road to AI started with people. What fascinated me was the moment when someone has the tools and knows what to do, and yet does nothing. I wondered what was blocking them and what could convince them to change. Beyond that, I wanted to understand why some innovations enter a company without any resistance while others crash on the first, most ordinary human habit.

Those questions led me to study psychology. I wanted to understand resistance, which works like an invisible current and can switch off the will to act in a second.

Then I landed in the world of data and sales, where I saw a paradox that shaped my thinking for years. Technology usually fails because people don't understand why they should use it. Even the most advanced dashboard stays an expensive gadget if it doesn't answer the question every user asks in their head: “What's in it for me?”

For years I moved between those two worlds. I worked on the business side and sat with implementation teams, and I watched great, logical decisions being made. At the same time, I saw big organizations get stuck, torn between big ambitions and the inertia of everyday life.

In 2018 I started my own business in data and AI, because I wanted to work my way. Experience from big corporations and from my own quiet office led me to a simple conclusion: the best solution is worthless if you can't roll it out so that people want to use it.

Today I help companies move from “hey, AI sounds interesting” to “hey, AI solves my problem”. I train teams and roll out AI where its effect shows up in everyday work, for example in sales or data analysis. Promises that an algorithm will bring world peace I leave to others. My goal is simple: technology should deliver results the board will see in the numbers.

My clients range from global organizations such as Amazon and Accor to fast-growing teams across Europe. I also lecture on AI in postgraduate programmes and co-organize AI Breakfasts Silesia, because I can't stand knowledge locked away in airtight jars. Knowledge starts to make sense when people discuss it over coffee and test it in practice.

First I learned to understand people, then data. Today I help companies make sure both finally start working together.

Principles

I stick to
six rules.

People before technology

The best AI model is useless if the team can't use it. That's why I start every project with people and choose the tools later.

Practice before theory

Exercises take up 70% of every workshop, because you learn most when you do things yourself.

Plain language

I only use words I could explain to my grandmother. AI is a set of tools that anyone can understand.

Zero hype

I say plainly where AI helps and where it still struggles, and I explain why.

Client independence

My goal is a team that knows what to do next after the project and doesn't need a consultant for good.

No CRM

You talk to me directly, because I answer emails and schedule meetings myself.

Timeline

It all started
in 2014.

  1. Psychology

    I graduated in psychology and already knew I wanted to work with people and numbers at the same time.

  2. First steps in data

    I worked as a data analyst at a corporation and built my first dashboards and statistical models. That's where I learned that data without context is just noise.

  3. Data science for real

    I earned certificates from Johns Hopkins and UCI, as well as from IBM. My studies covered advanced statistics and machine learning, and in projects I started using process mining.

  4. Generative AI

    ChatGPT arrived and I started running my first workshops, first for companies I knew and then for bigger ones.

  5. PBX Agency

    I founded my own agency, which delivers AI training and implementations. Around the same time I started speaking in public and co-creating the AI Breakfasts Silesia community.

  6. Today

    I've trained more than 1,200 people from 55 organizations in four countries. At every workshop I still hear the same question: “Where do we start?”

Certifications and education

These papers
mean something.

I only collect certificates from courses that actually taught me something. The ones below are exactly that.

IBMGoogleJohns HopkinsPennUCIUniversity of LondonTU/e EindhovenCFI

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