End-to-end agentic AI transformation, for leaders who want it shipped.
A boutique partnership. Senior-led. Fixed scope. A limited number of engagements per year — one operator accountable end-to-end, backed by a team that has actually put agents into production.
You're probably reading this for one of three reasons.
Each is a different project shape. All three land in the same place — you need someone who has actually done this work for a company your size.
Transform your company processes with agents.
You already have operations that work — but they're expensive, slow, or depend on people doing repetitive judgment work. You want to re-engineer them with agentic AI.
Build an agentic product as your new core service.
Your service — the thing you sell — can itself be delivered by agents. This isn't a feature; it's a product and business-model transformation.
Something else entirely.
Exploring a thesis, pressure-tested by your board, sorting signal from noise. Book a call and we'll figure out if it's worth a conversation.
Everyone is talking about agentic AI. Almost nobody is shipping it.
Everyone speaks about it. Few understand how it works.
Most board-level conversations are one layer of abstraction away from anything that can be built. The vocabulary exists; the operational knowledge doesn't.
Most agentic AI initiatives are failing.
The failure mode is almost never the model. It's the surrounding system — data, workflows, evaluation, change management.
It's a different type of project.
Agentic systems are probabilistic, they interact with humans, and they fail in ways traditional QA doesn't catch. The project shape has to change.
Most service firms have no real-world implementations.
Big-4 consultancies package the work without building it. Local agencies reskin chatbots. Very few teams have actually shipped.
Four things compound against you. All four are already happening.
Mid-market is where this compounds fastest — enterprise has budget to throw at it, startups don't have the surface area. You're in the exact band where 12 months of indecision changes the shape of your P&L.
Your competitors ship agents into workflows you still run manually.
Their unit economics move 6–12 months before yours. By the time you see it in a market report, you're already two quarters behind on margin and on win rate.
Your best operators leave.
The strongest people want to work with modern tooling and on problems where agents do the repetitive judgment work. Teams that don't offer that bleed out quietly — usually the top quartile first.
You spend next year running another "AI strategy" engagement.
Then another. You buy the same deck four times, lose a year of compounding, and still don't have an agent in production. The deck was never the hard part.
The agentic AI talent market gets more expensive every quarter.
Your entry price keeps rising — teams, tooling, and partners all cost more the longer you wait. Starting late doesn't just cost you time; it costs you a different budget envelope.
End-to-end transformation — from the boardroom to the build floor.
I don't stop at a deck, and I don't start at the IDE. I run the whole ladder: transformation consulting, opportunity identification, planning, deep engineering, and the integrated AgenticOS that turns your company into a near-fully-automated operating system — what small giants look like in the capitalism of this decade.
One operator. The whole ladder.
Most firms sell a slice — strategy, or PoC, or engineering. The slices don't compose. You end up owning the integration risk yourself.
I run each engagement personally, and the team I lead at Vstorm delivers the build. That means the person who wrote the thesis is the same person shipping the agent, and the same person handing it over.
Read the Vstorm build philosophy →Transformation consulting
Board-level framing. Where agents change the business, and where they don't. A thesis your sponsor can defend.
Identifying opportunities
Process mapping, data readiness, integration surfaces. A ranked list of high-leverage agent interventions.
Planning & architecture
Roadmap, eval strategy, guardrails, and org design. The plan is small on purpose — one agent, real users, six weeks.
Deep engineering
Senior engineers, in production. Tooling, observability, and evaluation loops built as first-class citizens, not afterthoughts.
The full AgenticOS
Agents across finance, ops, sales, support — wired into one operating system. Your company runs near-fully-automated, by design.
A small giant, built on an AgenticOS.
The shape of company I care about — boutique, senior-led, disproportionately profitable, operating at the scale of a mid-market business with the agility of a ten-person team.
Agents aren't the product. The product is a company that runs itself on a layer of agents — so the humans inside it spend their time on judgment, taste, and relationships, not on the work machines can do better.
I don't take every engagement. I go all-in on the ones I do.
You pass my filter if
- Mid-market — 200 to 5,000 employees.
- Revenue $20M to $1B.
- CEO or COO sponsored.
- Operational complexity worth transforming.
- Minimum 90-day engagement, realistic budget.
- Cultural readiness to ship, not just study.
I don't work with
- Companies that want a 12-month strategy doc and no implementation.
- Consumer businesses.
- Teams without exec alignment before the first call.
- Projects where the goal is "exploring AI," not transforming an outcome.
From first call to handover — six steps.
Click any step to preview what happens. Each stage is sequenced so the next one can't start until the previous one is signed off.
No deck, no pitch.
I ask the questions; you tell me the situation. By the end we both know if this should go further. Booked directly through the scheduler on this site.
Four reasons, true at the same time.
I have actually shipped.
Agents in production for mid-market clients across EU, US, MENA, and APAC. References available on request.
Senior-led, end-to-end.
I run the engagement myself. One phone number, one operator accountable for the duration of the project.
Operator and investor.
I back B2B agentic AI startups on the side — I see tooling and patterns months before the market does.
You can watch me think.
Read the essays and watch the YouTube channel. Decide whether I understand the work before you book.
Shipped, not pitched.
A summary of the work. The deep case studies live with the execution team at Vstorm.
"Antoni's team turned a six-month roadmap into a six-week production rollout. Outcome-first, no theatre."
"They ship. We had a working agent in our customer ops stack before most vendors had finished their discovery deck."
"Strategic partner, not a contractor. The work paid for itself inside the first quarter post-handover."