Three AI pilots, a hackathon, a demo day. Nothing in production and the enthusiasm is fading.
You know which pilot to kill, which to ship this quarter, and the one number that says the quarter was not wasted.
Masterclass · 1 day
In one day you find which of the 5 levels of AI adoption your team is actually on, and you leave with the two or three KPIs that prove the value at that level.
Most AI adoption stalls in pilot purgatory or drowns in dashboards that show activity and no delivery. This places you on the ladder and hands you the numbers that move you up it.
14,900 CZK per seat · from 150,000 CZK in-house





Not for
Who it is for
The program
Your hackathon demos never shipped. You leave knowing which pilot to kill, which to ship, and the one number that proves this quarter was not wasted.
AI changes who does what. You leave with a skills map of your team, the roles that change first, and a 90-day plan you can defend to HR.
This is where AI spend outruns delivery. You leave with the two or three KPIs that show real efficiency, priced on your own numbers.
AI stops being a side tool and enters how you build. You leave with your delivery pipeline redrawn for AI-native work, first change already scheduled.
You are AI-mature, and so is everyone else. You leave with a read on where the next advantage sits and what to bet on before the market catches up.

Three AI pilots, a hackathon, a demo day. Nothing in production and the enthusiasm is fading.
You know which pilot to kill, which to ship this quarter, and the one number that says the quarter was not wasted.
You know the team needs to reskill and every plan you draft turns into a reorg fight with HR.
You leave with a skills map of your team, the roles that change first, and a 90-day plan you can defend without a reorg.
AI spend is outrunning delivery and you have no answer when finance asks what it bought.
You leave with the two or three KPIs that show real AI efficiency, priced on your own numbers, ready for the next budget review.
AI is a side toy your engineers open in a second tab, not part of how the team actually builds.
You leave with your delivery pipeline redrawn for AI-native work and the first change already scheduled.
You got AI working, and so did everyone else. The edge you had last year is gone.
You leave with a read on where the 2027 advantage sits and what to bet on before the market closes the gap.




Format
Prices in CZK, excl. VAT. Published, not on request.
Faculty
Our team is unique. We are not consultants selling academic theories or empty certificates. They have built multiple unicorn companies and helped organizations scale from startups to scale-ups to established corporates.
In-house cohorts
No two organizations are the same. That is why our learning designers have crafted a selection of sessions focused on the key challenges faced by today's leaders. We work together to customize these sessions specifically to your needs. Our experts do the heavy lifting throughout the process and craft the program that is just right for your organization.


What nobody else offers
Tool demos and prompt tricks never tell a manager if the team is stuck at Level 1 or stalling at Level 3. The ladder does.
Most frameworks hand you a maturity model and no numbers. You leave with the two or three metrics that prove value at your level, priced on your own delivery.
Everyone pushes adoption. Level 3 is where you learn to tell real efficiency from AI theater, before finance asks what the spend bought.
The failure modes at each level come from 300+ leaders in 17+ countries hitting them. A competitor can copy the slides, not the sessions.
One day, engineering-specific, in Czech or English, with the numbers to take back to your board.
“You stop guessing where your team is with AI, and start proving it with numbers.”
Proof, honestly labeled
The 9.3/10 is from the sibling courses, not this masterclass yet. First-cohort quotes and outcomes replace these lines as they land.
Seats are limited to keep every room interactive. Register, or book a private cohort for your team.
Ready for the full operating rebuild? The AI-Native Engineering Manager →