AI systems consulting · Gdańsk / global

Build AI systems that work reliably in production.

I help product and engineering teams make high-stakes AI decisions, lead reliable delivery, and recover stalled AI initiatives.

Send a qualified brief See engagement options

Principal-led. Paid discovery first. Implementation with your engineering team or an agreed delivery team.

Engagements start at 10,000 PLN or €2,500.

Principal-led

Paid discovery first

Client-owned handover

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Engagement paths

Decisions, systems, and delivery.

Start with an explicit decision. Build only where evidence and a delivery team support it.

First engagement

AI Systems Discovery

Decide where AI creates value, what must be true for it to work, and what not to build.

See Discovery

Production Sprint

Lead one bounded agentic, retrieval, or workflow capability with architecture, evaluation, human judgment, and handover designed in.

See engagement

Technical Direction & Delivery Leadership

Set technical direction and lead delivery for a team facing architecture risk, slow delivery, or a leadership gap.

See engagement

Buyer situations

When the next decision carries real cost.

A prototype is not becoming a product.

Make architecture, evaluation, ownership, and delivery decisions before more effort disappears into a demo.

A valuable workflow is still manual.

Map a constrained operations or knowledge-work problem, then decide whether automation is worth building.

Delivery is stuck.

Clarify technical direction, restore an execution rhythm, and give a team a workable path forward.

How engagements work

Brief

Share context, stakes, budget, and timing.

Fit call

If there is a fit, a short call defines the right first step.

Paid discovery

Map constraints and make decisions before implementation is committed.

Direction and handover

Lead focused delivery with an agreed team, then leave clear ownership behind.

What you can inspect

Methods and technical background, not borrowed proof.

Decision systems

Architecture direction, evaluation approach, human-review boundaries, and acceptance criteria.

Delivery boundaries

Clear responsibility across principal, client team, and agreed delivery team before implementation begins.

Research background

Selected work in machine learning, anomaly detection, and applied systems—presented as technical foundations, not client outcomes.

Inspect technical background and selected research

Good fit

A product, operations, or knowledge-work problem with real complexity.
A team ready to make decisions, provide context, and own outcomes.
A paid discovery phase before implementation is committed.

Not here for

Marketing websites, prompt packs, or a quick chatbot for its own sake.
Unscoped work where success, ownership, or budget are undefined.
A request to replace engineering judgment with AI-generated output.

Direct principal involvement

I lead discovery, architecture, and quality from first decision to handover.

For implementation, I work with your engineering team or lead an agreed delivery team. You retain decision rights, code, infrastructure, and documentation.

Send a qualified brief