Built. Not just advised.
Strategy is only worth what reaches the floor. So I don’t stop at the slide — I build the working tool. These are real AI systems, built full-stack and put in front of real teams — not whitepapers about AI.
Each build starts from one real decision — not a generic roadmap.
Four working apps, in front of real teams.
Each does one clear thing, runs on a real stack, and has reached an actual organisation. The stack is shown for the technically curious — you never have to touch it.
Reads a team’s make-up in about three minutes — and shows how to balance it. Measures what engagement surveys miss and turns the signal into a leadership read.
Shows how a brand shows up in AI answers — and why. Strategic intelligence on how the new models represent you, at scale, before it shapes buyer perception.
Finds the right EU public tenders to bid on — scanning daily in 22 languages and surfacing the winnable few, configured to your specific technical advantages.
Shows what to automate, augment, or keep human in a role — with the ROI. A transparent, auditable AI-readiness read, so you see the return before any investment.
Two engines that turn a question into a build.
The apps above don’t come from nowhere. Two repeatable engines do the upstream work — one turns a hard question into a decision, the other finds where to point the build. Together with the four apps, that’s the full set of six.
Turns one ambiguous, high-stakes question into a clear, board-ready decision — sourced and defensible, in days. The engineered system that runs behind every engagement.
Reads your whole business as one value line and ranks where AI pays off first — so the next build points at the place value actually concentrates, not the easiest thing to automate.
Days, not quarters — because the builder is the strategist.
There’s no handoff between the person who understands the strategy and the person who writes the code. They’re the same person — so the tool stays true to the decision, and it gets built fast.
The build starts from the decision and the value map — so the tool solves the real problem, not a proxy for it.
Working MVPs assembled end-to-end — data, models, and interface — so you see and use the thing, not a mockup.
Every product carries its real status — live, MVP, or in pilot — so you always know exactly what’s proven and what’s early.
AI is a multiplier — what gets multiplied matters. These multiply a real decision, not a guess.
An MVP first — then scaled your way.
Every product here is a working MVP: built fast, on real data, proven with a real team. What comes next depends on your size — and you stay in control either way.
The MVP can often go live straight away — a real tool your team uses from day one, without a heavy IT programme behind it.
The MVP is a de-risked, proven starting point your own IT scales within your security, governance and infrastructure. You own it, on your standards — a head start, not shadow IT.
Either way, the value is proven before anything is industrialised — so you invest in scaling only what already works.
No inflated claims. Here’s exactly what each tag means.
A sophisticated buyer can smell a demo dressed up as a deployment. So the labels are precise.
Piloted
Run with a real organisation on real data — the output reached and was used by an actual team.
Pilot agreed / Shared
Built and put in front of a named client — a pilot is agreed or the working tool has been shared, with use underway.
Live engine
The proven system that powers the work — in active use behind every engagement, not a one-off app.
Build your first working tool.
Most of these started as one hard question. Bring yours — a place where a working tool would change the decision — and we’ll scope the smallest real build that proves it.