Founder-led commercial judgment for businesses where the problem is not obvious.

I was trained to read structures.

I studied architecture at Politecnico di Milano. Architecture school teaches you one discipline above all others: before you design anything, you read the structure that already exists. You learn to trace loads — where pressure enters a building, how it travels, and where it will crack first. You learn that the crack in the wall is almost never where the problem is.

That habit never left me. When I moved into commercial work — selling, building websites and funnels, running CRMs, sitting in the rooms where deals were won and lost — I kept noticing the same thing. Businesses treat symptoms. Weak enquiries get a new website. A slow quarter gets more ad spend. A messy pipeline gets another tool. And the crack keeps coming back, because nobody read the structure first.

The businesses I could actually help were the ones willing to ask a harder question: where does commercial value enter this system, how does it travel, and where is it being lost? Answering that question well became the work. Eventually, it became the whole practice.

A studio, deliberately not another agency.

I built Alba Collective as a revenue architecture studio because the agency model has a structural flaw for the problems I work on. An agency sells a channel — ads, SEO, web design, outbound — so every diagnosis conveniently lands inside the service it sells. If you hold a hammer on retainer, every problem becomes a nail on a monthly invoice.

A studio works differently. It is small by design, senior by design, and paid for judgment rather than volume. I do not carry a headcount that needs feeding, so I have no incentive to prescribe work you do not need. When the honest answer is "don't rebuild the website, fix the offer" — or "don't hire me, fix your follow-up first" — I can say it, because nothing in my business model punishes me for saying it.

That is also why the front door to working with me is a paid diagnostic rather than a free pitch. The diagnosis has to be independent of what gets sold afterwards, or it is not a diagnosis — it is marketing.

One judgment, built from several trades.

Revenue architecture is not a single skill. It is what happens when several disciplines are held in one head long enough to see how a commercial system actually behaves. These are the ones the work draws on:

Different businesses, familiar failures.

Once you have read enough commercial systems, you stop being surprised. The industries change; the failure patterns barely do. Positioning so interchangeable that buyers default to comparing price. Websites that describe the company instead of resolving the buyer's doubt. CRMs where the stages describe hope rather than reality. Follow-up that dies after one polite email. Reporting that measures activity because activity is easier to measure than truth.

Pattern recognition is what makes a diagnosis fast and honest at the same time. I am not discovering these failure modes for the first time on your budget — I am checking which of the familiar ones apply to you, in what order, and which single constraint is holding the rest in place. That is the discipline behind the method, and it is why the recommendations come out sequenced rather than as a list of forty things to fix.

AI does the labour. I own the judgment.

I run an AI-assisted practice, and I am open about it — because it is the reason a one-person studio can do work that used to require a team. AI systems handle the volume: analysing data, auditing pages at scale, drafting variants, monitoring what changed. That compresses weeks of analyst work into days.

What AI does not do in my practice is decide. It does not diagnose your constraint, set your positioning, or choose what you fix first — because those calls require context, accountability, and a willingness to be wrong in public that no model carries. Every conclusion that reaches you has been formed, checked, and signed by me.

• AI-assisted: research, data analysis, drafting, QA, monitoring — the work that benefits from scale and tirelessness.
• Human-owned: diagnosis, prioritisation, positioning calls, pricing calls, and every recommendation with your money attached.
• Never: machine-generated conclusions passed off as senior judgment. If I put my name on it, I formed it.

What I lead. What can be delegated.

"Founder-led" is an easy claim, so here is what it means in practice. Some work carries the commercial risk of the engagement — that work is mine and does not move. Other work is execution against decisions already made, and it can be delegated to trusted specialists or handled by AI systems under my review without the quality dropping.

Who I work best with — and who I don't.

A small studio only works if the fit is honest in both directions. I would rather tell you at the application stage that we are not a match than discover it three weeks into an engagement.

Three doors, all answered by me.