Two starting points#
“We don’t know where to begin”#
You’ve heard the noise. You sense AI could help — operations, sales, back-office, customer experience. But you don’t want to start with an unfocused proof of concept that burns budget and proves nothing.
AI Readiness Sprint — a short, honest assessment:
- Map your data, processes, and realistic automation opportunities.
- Identify 1-3 directions worth pursuing (and what to explicitly avoid).
- Assess organisational readiness: who’s prepared, who’ll resist, what training is needed.
- End with a 90-day plan your team can actually execute.
- 2-4 weeks. Fixed fee. No ongoing commitment.
“We’ve started, but nothing reaches production”#
You’ve run pilots. Some looked promising. But nothing is in stable production. The board wants ROI. Governance lives in slide decks. Shadow AI grows.
AI Production Diagnostic — a structured assessment of where you’re stuck:
- Evaluate current initiatives against five production readiness dimensions: Strategy, Governance, Process, Architecture, Operating Model.
- Identify what to push to production, what to kill, and what’s missing.
- Surface the governance gaps regulators and auditors will eventually find.
- Deliver a clear score and a 90-day action plan for your decision-makers.
- 2-3 weeks. Fixed fee. Vendor-neutral.
What comes after the diagnostic#
Embedded Delivery#
I work alongside your team to take 1-2 critical use cases from concept to production.
- Architecture decisions, governance design, human-AI process redesign.
- A translator between Business, IT, Data, and Risk — so nothing falls between the cracks.
- Organisational change support: making sure the people side doesn’t kill a technically sound project.
- 8-12 weeks, defined sprints with clear milestones.
Fractional AI Lead#
Ongoing advisory for companies scaling AI beyond the first use case.
- 3-5 days per month. Strategic guidance, architecture review, governance evolution.
- Particularly useful during regulatory transitions (EU AI Act, sector-specific requirements).
- A sounding board for your CIO/CAIO when decisions get complex.
Industries#
Finance & insurance. Telecoms & media. Retail & consumer goods. Energy & utilities. Public sector. Manufacturing.
The common thread is complexity — multiple systems, multiple stakeholders, real consequences if AI goes wrong.
How I work#
- Teach, don’t pitch. I walk you through the complexity. The gaps you discover become the scope.
- Vendor-neutral. No platform partnerships. I recommend what fits, not what pays me commission.
- Governance as engineering. Policies that live in code and systems, not in slide decks nobody reads.
- Fixed fees where possible. You know the cost before we start. No surprise timesheets.
FAQ#
Do you implement, or only advise? Both. I design and I build — or I work alongside your team while they build.
What about the EU AI Act / sector regulation? Yes. I work with legal teams to translate regulatory requirements into technical controls. Governance as code, not governance as PowerPoint.
We already have consultants. Why add another? I complement existing teams. Strategy firms often lack production architecture experience. Implementers often lack governance perspective. I bridge the gap.
What does it cost? Transparent pricing, discussed on the first call. Diagnostics start at a fixed fee. Longer engagements are scoped and quoted upfront.
What industries do you work in? Any industry where AI creates real complexity — regulated sectors (banking, insurance, telco), but also retail, manufacturing, energy. The common factor is multiple systems, multiple stakeholders, and a need for structure.
Do you work internationally? Yes. Current engagements span Poland, the Nordics, and the Middle East. Remote-first, with on-site when it matters.