End-to-end transformation cycle: audit, redesign, pilot, rollout, adoption — on a single accountable timeline.
// AI TRANSFORMATION · WARSAW, PL
Redesign your business around AI — without breaking what works.
I help operators rewire entire processes, teams, and product surfaces around AI: from internal tooling and data infrastructure to customer-facing agents and the org chart that runs them.
What you walk away with.
Process redesign, data infrastructure, and org changes shipped together — that's the only combination that sticks.
Agents, internal tools, and dashboards running on your stack — with evals, guardrails, observability, and budget caps.
Every workflow we transform ships with usage telemetry and a 90-day adoption target. If a tool isn't used, it didn't ship.
I don't pitch AI from a slide deck.
SV Lab runs three live AI products in production today, on top of a 12-year track record of shipping internet products end-to-end. Below: the work most relevant to this engagement.
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How it works.
- 01 · WEEKS 1–2
Process & data audit
I shadow your teams, instrument key workflows, and audit the data and tools they actually use. The output is a transformation map: which processes to redesign, automate, kill, or leave alone.
- 02 · WEEKS 3–6
Pilot redesign
We pick 2–3 high-leverage processes and redesign them around AI: agents, copilots, internal tools, dashboards. I build the systems; we run them in parallel to the legacy flow.
- 03 · WEEKS 7–10
Rollout & adoption
Migrate the team onto the redesigned flow with training, documentation, and support. Telemetry tracks adoption, time saved, and quality — so we cut what didn't land.
- 04 · WEEK 11+
Compounding loop
Hand-off to an internal owner with a roadmap of the next 3 processes, a guardrails playbook, and a quarterly review cadence. The transformation keeps shipping after I leave.
Common questions.
Is this a strategy deck or actual systems?
Actual systems. I write code, ship agents and tools, and own the production rollout — not just the executive readout. The deliverable is software running in your business.
What size of company is this for?
Best fit is 10–250 people: small enough that a single operator can move the org, big enough that process redesign + data + tools have real leverage. Larger orgs work too if there's an executive sponsor and a focused unit.
How does this differ from AI advisory?
Advisory is targeted: pick a use case, ship it, hand off. Transformation is structural: redesign processes and the org around them, then ship the systems and adopt them. Advisory often becomes the first phase of a transformation engagement.
Do you bring a team?
I work as a solo operator with selected partners brought in only when the workload demands it (design, specialised data engineering). You stay accountable to one person, not a delivery org.
What about change management?
Built in. Every transformed process ships with internal docs, training sessions, an adoption metric, and a designated internal owner. A redesign nobody uses is a failed redesign.
Where are you based and how do you invoice?
Warsaw, Poland. I invoice as a registered EU entity (NIP 5223265821 / VAT PL5223265821). Engagements are remote-first with on-site weeks when useful.
// LET'S TALK
Ready to put AI to work?
One email and we're on a call within a week. I read every message and reply within one business day.