I'm an AI consultant and I advise as someone who used to put his name on AI decisions: as a CTO who built and sold a tech company, and as Head of Product for a decentralized AI-compute network, seeing AI from the infrastructure side, not from demos. You get decisions, not workshops: what to ship, what to leave alone, what it really costs, and where it'll break.
See the offersYour agent has access to the database, email and APIs. Before it reaches production, I check where it can do damage: prompt injection, data leaking through context, actions with no human in the loop, costs running away. You get a risk list ranked by what to fix first, not a 40-page PDF for the drawer.
A part-time Chief AI Officer for a company that has the AI budget but no one to keep it in line. I set the strategy, watch the costs, and decide with you what we build, what we buy, and what we don't do at all. The same role I held full-time, billed at two days a week.
For companies that can't, or won't, send data to OpenAI or Anthropic: healthcare, finance, regulated sectors. I stand up local LLMs and Private RAG on your own infrastructure, with inference whose output can be verified and explained to an auditor. I know AI infrastructure strategy from the inside, from Golem Network.
Everyone who watched three webinars sells AI advice now. Behind me: 10+ years in C-level roles, three tech companies built from scratch, and one exit. Below are facts, not claims.
I was a CTO, not a consultant who consults about consulting. 10+ years in tech, 10+ years in C-level roles. I know what an AI decision feels like when it's your signature on the budget and your neck when it breaks.
I've seen AI from the infrastructure side, not just the app layer. As Head of Product & Strategy at Golem Network I owned the product of a decentralized AI-compute network. I know where the demo ends and the cost-per-token, cost-per-GPU begins.
The advisory has a delivery arm behind it. A senior task-force has shipped a brand-compliance agent with RAG for a global brand, tender-sheet normalization with explainability logs for a medical distributor, and a robotics perception→decision→action loop. What I recommend, someone actually builds.
I'll also tell you when AI is the wrong call. AI is a tool, not magic: it won't fix a broken process. You measure or you're guessing. If the problem is cheaper to solve without models, you'll hear it from me.
I look at what you actually have: data, processes, team, your earlier attempts at AI. I tell you plainly what's ready to ship and what needs fixing without AI first.
A concrete recommendation: what to build, what to buy, what to leave alone. With a cost estimate and a risk list: an artifact the board can decide on, not 40 slides.
One use case shipped to production, not to a slide. Iterations on real data, with a metric that tells you whether it works. If it can't be measured, we turn back.
Rules, monitoring and cost control so AI scales safely. By the end your team runs it on its own, without a monthly invoice from me.
Three packages with public pricing: agent security audit from 15 000 PLN, Fractional CAIO from 12 000 PLN/month, Local & Private AI infrastructure from 40 000 PLN. Final quote after an intro call — it depends on scope.
Audit: 2–3 weeks, ending with a report and a working session. Fractional CAIO: minimum 3 months, ~2 days a week. Private AI infrastructure: 6–8 weeks to full deployment.
Remote by default — for clients across Poland and the EU. On-site where it makes sense: decision workshops, kick-offs, board sessions.
An NDA is standard before any detailed conversation. For sensitive data I design Private AI architectures with local models — your data never leaves your infrastructure.
Consulting is decisions: what to build, in what architecture, at what risk — plus oversight of execution. The building itself I deliver as AI implementations, and I level up teams through the enterprise AI workshop.
No salesperson, no slides. You walk me through the problem and I tell you straight: whether I have a sensible way to solve it, what it really costs, and whether it's even worth it. If it's not for me, you'll hear that in the same call, with a pointer on where to look.
