Running several AI pilots and none of them made it to production?
I help boards of mid-sized companies decide what to scale, what to redesign, and what to stop with AI. Not another list of tools. You leave with one decision map and one next step.
How you know it worked: instead of a gut feeling, you have numbers and one agreed decision someone can put their name on.
From chaotic AI use to a repeatable workflow - webinar from May 13, 2026, recording available for free
Sound familiar?
- A few teams play with AI, but nobody knows which initiatives actually pay off.
- A pilot got a "wow" in the demo and then stalled. No call on scale or stop.
- You pay for licences a handful of people use.
- The board asks "what are we actually getting from AI", and the answer is a list of tools, not numbers.
- Nobody owns the decision: what we do, why, who is accountable, when we stop.
This is rarely a technology problem. More often what is missing is a decision, an owner, and a criterion for knowing something works. That is what I do.
Three ways to start
We start with one decision you can make in a few weeks. Later stages come only once it is clear what is worth it.
Executive AI Decision Workshop
One session, you leave with an AI decision map
- Who it is for
- A board or sponsor of one company ready to make its first real AI decision. You have a few pilots to triage, or you are just starting and unsure where.
- What you get
- A decision map: what to scale, redesign, stop (or, if you are just starting, where to start). Plus one agreed next step. A concrete decision, ready to take into your next board meeting.
- How you know it worked
- The board leaves with one decision map and one next step it can stand behind, not with "that was interesting".
- How long
- One session with the board.
12,500 PLN / 3,000 EUR
For that, your board leaves the room with an AI decision map, what to scale, redesign, stop, and who takes each of them on, plus one agreed next step for the next board meeting.
AI Proof Month
one process, four weeks, hard numbers
- Who it is for
- A sponsor who wants hard numbers before committing budget. You have AI in motion or a candidate process, but nothing to base a decision on.
- What you get
- We take one process and for four weeks run about 10% of its real volume in parallel through AI. A human grades every output. At the end you have numbers (cost, quality, time) and a clear recommendation: scale, redesign, or stop.
- How you know it worked
- You have numbers on one initiative and a recommendation you can show the board, instead of a gut feeling.
- How long
- about 4 weeks
Scope and price depend on which process we take and how complex it is. We set them on a call, before you sign anything.
AI Portfolio Review
Diagnosticyour whole initiative portfolio, one decision matrix
- Who it is for
- Companies running several AI initiatives at once, where the board finally wants to see the whole picture and take control. This is an AI portfolio audit: we look at what you actually run and order the decisions around it.
- What you get
- An inventory of initiatives and a first-pass classification, a scale / redesign / stop matrix, first production-readiness rules, a view of governance gaps, and a baseline for a board-level AI portfolio dashboard. Plus a memo and one live readout.
- How you know it worked
- The board stops asking "what are we actually getting from AI" and instead decides on one matrix who owns what and what comes next.
- How long
- about 3-4 weeks
Scope and price depend on how many AI initiatives we look at. We set them on a call, before you sign anything.
Not sure which one fits? Write two sentences about where you are with AI, or book a call. No pitch, we work out together whether it even makes sense.
How I work
I lead companies into AI through decisions. I call the approach Decision-Led AI: we ask what to scale, redesign, stop, who owns it, and how we will know it works.
The full path has five steps: decide, redesign, enable, implement, govern. We start, though, with one step: one decision.
I do not teach prompts. I build decisions, owners, and systems of work that stay after I leave.
Who is behind this
As an AI and product practitioner, I shipped AI initiatives to production, not to slides. I work as an external AI decision advisor to boards, mostly in companies of 51 to 500 people, where AI starts to outpace the decisions about it.
- 50+ AI products shipped to production
- experience across organizations of varying scale, focused on mid-sized companies (51-500)
- 3 AI hackathons
- dozens of POCs
Ongoing collaboration
Other organizations
I speak publicly - sharing experience in AI strategy and execution at conferences and within organizations. My talks →
Let us start with one decision
If you have several AI initiatives and chaos instead of decisions, book a call. 30 minutes, no pitch. We will check where you actually are and whether any of the three options makes sense for you.