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 2 live AI products in production today, on top of a 13-year track record of shipping internet products end to end. Below: the work most relevant to this engagement.
Prowl
prowl.chat444 market-intelligence tools behind one MCP endpoint.
The research layer for coding agents. Connect one MCP endpoint to Cursor, Claude Code, Codex or any other MCP client, and the agent can call 444 market data tools across 17 providers (SEO, ads, SERP, app stores, reviews and trends) and get real numbers back. For a bigger question it combines up to 16 of the 33 catalogue modules into one sourced report. Billed per call from a USD wallet: a deep report costs about $17 in credits, and a new account starts with a $15 starter credit.
Agent intelligence · MCP · 2025 → Present
Visit
PrivateClawd
privateclawd.comManaged hosting for an OpenClaw agent, in a private container of its own.
Managed hosting for OpenClaw AI agents. Each agent runs always on, in a private, isolated container of its own, with browser automation, code execution, messaging channels (Telegram, WhatsApp, Discord, Slack, web), budget guardrails and prompt-injection defense. No servers to run and no DevOps.
AI agent cloud · 2025 → Present
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// PRIOR WORK
- 2021 → Present Nicegram nicegram.app
Privacy-first Telegram client with superior UX. Open source on iOS, Android, and desktop.
- 2020 → Present eSIM Plus esimplus.me
Global mobile connectivity for travelers.
- 2015 → 2020 Muse (Ultimate Guitar) ultimate-guitar.com
Built and monetized the Ultimate Guitar mobile apps and launched an AI-powered learning product for the world's largest musician platform.
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 do the work myself, 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; the NIP and VAT numbers come with the contract and every invoice. Engagements are remote-first with on-site weeks when useful.
Can you embed directly in our team instead?
Yes — that's the forward deployment model (/consulting/forward-deployment): I join your team and ship production systems inside your own stack and infrastructure, rather than running a separate transformation track from the outside.
// 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.