Six areas of collaboration covering AI strategy, R&D funding, technology commercialization, scouting, deployment, and workshop & coaching programmes.
I help leaders set direction, priorities and a sequence of AI investments. We work towards a roadmap aligned with business strategy, organisational readiness and available funding.
As an expert in the Innovation Coach programme I help Polish companies identify their innovation potential and choose the right R&D funding instruments.
Support in moving technology from research output to a market product: deep-tech business models, IP, technology partnerships, first pilot deployments.
Scanning the technology landscape against a specific business challenge — maturity assessment, vendor mapping, research centres, potential partners.
Leading AI implementations from proof-of-concept through pilot to production — in computer vision, recommender systems and decision-support.
Tailor-made programmes — from one-day AI-literacy workshops for the board to multi-month coaching paths for R&D and innovation teams.
Whatever the area, collaboration usually moves through these four stages. Each can also stand on its own as a self-contained engagement.
Conference talks, expert panels, leadership keynotes for boards and strategic clients.
One- or two-day workshop with decision-makers and the team — with concrete outputs and decisions.
Ongoing advisory work — from single projects to multi-month transformation paths.
Most often in industries with strong potential for AI, computer vision, new technologies and automation: manufacturing, retail, healthcare, finance, the public sector and sports-tech. I'm not bound to a sector — what matters is whether the problem is worth solving with AI.
Yes — particularly with deep-tech and academic spin-offs. Most often as a mentor, go-to-market advisor and support for R&D funding.
After the intro call I prepare a short proposal with scope, schedule and a pricing model (day-rate, project-based or retainer).
30–60 minutes, no strings attached. Business challenge, context, expected outcome — enough to decide whether the collaboration makes sense.