You told me what. Now tell me how.
AI Strategy & Implementation Consulting for Organizations
Need help with AI
Most companies are stuck running AI experiments that never leave the sandbox.
The gap between a proof of concept and production isn't technical — it's organizational.
I build the systems, governance, and team capability that make AI work at scale.
Why do 95% of AI strategies fail to move beyond experiments?
95% of GenAI pilots fail to move beyond proof of concept.
MIT NANDA / Fortune, 2025
42% abandoned AI initiatives in 2025 — up from 17% the year before.
S&P Global, 2025
74% of organizations struggle to achieve or scale AI value.
BCG, Oct 2024
What are the five frictions that kill AI adoption?
Pilots without a scaling path
A proof of concept is not a product. Without a clear path from pilot to production, you are burning budget on science projects.
Productivity gains absorbed into low-value work
A controlled study found AI-assisted tasks took 19% longer. Speed without direction does not equal productivity.
METR, 2025
Legacy process debt
You cannot automate a broken process. AI amplifies whatever is already there — including the dysfunction.
Tribal knowledge stays tribal
If your best practices live in someone's head, AI cannot learn them. Documentation is not optional.
Governance collapse
Only 13% of organizations have a data architecture ready for agentic AI. The rest are building on sand.
AWS / Bain, 2025
For Leadership
For TeamsThere is no value in a great strategy that you cannot execute, or great execution that leads you in the wrong direction.
— Andy Grove
Why choose a practitioner over a consultant for AI strategy?
I currently lead AI adoption for 100+ engineers at a major Polish insurer. Every day I make decisions about which AI tools to standardize, how to measure productivity gains, and where governance frameworks need to flex or hold firm. I see what works and what does not at enterprise scale — not from quarterly reports, but from the daily reality of shipping AI into production systems that handle real business operations.
Before that: 20 years building software, leading engineering teams, and running my own company. Lean Six Sigma Green Belt certified — because if you cannot measure the improvement, it did not happen. That discipline shapes every recommendation I make. When I tell a leadership team that a particular AI approach will fail, it is because I have already tried it and measured the results.
I still build my own products. Ercole, QuitStreak, ReadStreak — production applications with real users. The gap between knowing AI theory and shipping AI products is enormous. I live on the shipping side. Talk is cheap. Code ships.
of GenAI pilots fail to move beyond proof of concept
MIT NANDA / Fortune, 2025
abandoned AI initiatives in 2025
S&P Global, 2025
years of engineering experience
Ready to move beyond experiments?
Let's talk about making AI work in your organization.