Piotr Kuczyński · Transformation Advisory
AI doesn't transform
organizations.
Decisions do.
I help executives and product leaders close the gap between AI potential and organizational reality.
Let's Connect →
Piotr Kuczyński · Transformation Advisory
I help executives and product leaders close the gap between AI potential and organizational reality.
Let's Connect → Reorganizations fail when they push through resistance instead of finding leverage. I work with C-suite leaders to find the structural pivot point — where a small shift unlocks the organization's ability to absorb change.
Most AI initiatives stall not from technical limits but from fuzzy product thinking. I bring hands-on ML product experience to help teams find the leverage point — where product clarity meets organizational momentum.
Product ownership at WebInterpret — multilingual ML-powered translation systems serving millions of e-commerce listings. Not theoretical AI; shipped, measured, iterated.
Transformation work with mBank, Pekao, PZU, Circle K — facilitating operating model workshops for 40+ managers, advising C-level leaders on structures that actually enable delivery.
Computer engineering from TU Munich. Enterprise coaching certifications. The rare combination of someone who understands both the code and the boardroom — and develops insight the way I facilitate transformation: through structured dialogue between competing perspectives.
My approach to transformation comes from a 140-year-old philosophy — the same principles that shaped competitive judo.
Maximum effect, minimum effort
Don't push change through resistance. Find the point where a small shift unlocks disproportionate transformation.
Mutual development, mutual benefit
Your growth and the organization's growth are the same project. You can't change the system without changing yourself.
Flexibility, not resistance
Don't fight force directly. Yield, flow, use the system's momentum. This isn't evasion. It's strategy.
This isn't a metaphor. It's a methodology I practice — on the mat and in the boardroom.
Most AI transformations fail not because of technology limits, but because organizations confuse capability with product thinking. The gap between what AI can do and what it should do is a product problem — and most companies aren't set up to solve it.
For forty years the narrowest part of building software was the build. AI is widening it, and the queue is moving to deciding what to build and knowing whether it's right.
In seven months I built a small fleet of AI agents and published nothing. An old idea from manufacturing explains why: the constraint never disappears, it moves.
Where structured thinking becomes visible.
I orchestrate multi-perspective debates to arrive at insight no single viewpoint can reach. A good discussion will always beat solo execution.
This way of working took shape while building an AI product. Now I apply it to organizational questions — and to my own building.
You got this far. I'll take that as a compliment.
Shall I remember — so there's something new waiting next time?
And if you ever want to make this a real conversation — Piotr reads every message personally.
You're back. I kept something new in the Laboratory.
Noted. See you next time.
As you wish.
