AI strategy for a logistics company (Series B)
Technical due diligence for a VC fund
how large companies can actually stay in control of their AI agents
Practical AI implementation patterns
I come from startups. I work with enterprises. I know how to plug startup speed into enterprise requirements.
52% of organizations are deploying AI agents. Only 6% have reached a transformative level.
Full AI autonomy is a recipe for disaster. A framework that gives you control.
Multi-agent systems are the future of enterprise AI.
I built a software house and sold it to Diagnostyka, Poland's largest lab network.
At uPacjenta I was CTO. The team grew from zero to 25 people, and the platform to 80,000 customers.
At Golem Network I owned the product for a global AI network.
Now I help funded startups and enterprises ship AI without the consulting bullshit.
tech companies built
exit (to Diagnostyka)
people in teams
years in C-level roles
From prompting to production. 12 questions about what you actually do with AI — Skill, Workflow, Loop. At the end: your position on the Agentic Engineering Radar and a concrete next move.
12 questions · ~4 min · score 0–100 + your quadrant
AI strategy + oversight of execution. For funded startups and enterprises.
Technical AI assessment for VC and PE. Before the investment, not after.
From idea to POC in 6-8 weeks. Startup speed, enterprise reliability.
"Strategy without execution = PowerPoint.
Execution without strategy = chaos.
I bring both."
"We didn't know whether the project could be saved. We got far more than we expected. Szymon helped us rebuild the product."
Dominik Swadzba
Product Owner
"A man of many talents — electronics, backend, frontend and business. I hope we get to work together again."
Piotr Gałaś
Developer
AI Summit Warsaw
Practical patterns for constraining agent autonomy in production.
Tech Leaders Poland
What changes when an AI agent hits a real-world environment.
2 minutes. A concrete answer.
You'll find out where you stand and what to do next.