Most AI transformations fail before they deliver. I help you make the bets worth making — and kill the ones that aren't.
of generative AI pilots produced zero measurable P&L impact in their first year.
of companies scrapped the majority of their AI initiatives in 2025 — up from 17% the year prior.
lost in a single deepfake video call when a finance officer in Hong Kong wired funds to a synthetic CFO.
of enterprises miss their AI infrastructure forecasts by 25% or more — over-provisioning compute they never burn.
The CXO stakeholders I work with don't lack ambition. They lack the truth about which bets will actually compound — and which will quietly burn the next two quarters.
A standing seat on your decisions. I sit between founders, the exec team and engineering — turning ambition into specific bets and killing the rest before they consume a quarter.
A defined problem, a defined deliverable, a defined exit. We agree the outcome before we start — and what success looks like on the day I leave.
When neither of the above fits — a CXO mandate, a turnaround, a build-and-handover, an interim CTO seat through a funding round. Shape and duration designed around the outcome the company actually needs.
15 questions. 4 minutes. A ranked breakdown of where your AI programme is most exposed — mapped to 28 documented failure cases across FinTech, Insurance, SaaS, Cloud, and SRE.
The risk assessment tells you where your AI programme is exposed. This scan tells you whether the ambition was realistic in the first place — before you commit the budget to find out the hard way.
Take the Ambition Scan →Most AI programmes don't fail at the start — they fail in the middle, quietly. Milestones slip, blockers accumulate, stakeholder alignment drifts. This check surfaces where the pressure is building before it shows up in the numbers.
Take the PM Health Check →95% of AI pilots produce zero P&L impact in year 1. This 5-step framework shows you exactly which initiatives to kill, which to accelerate, and how to reallocate the freed budget toward what actually ships.
Get the framework →I spent two decades inside the kind of institutions that don't get a second chance when the technology is wrong — global banks, wealth platforms, and product teams across multiple geographies. Cores moving billions through them daily, on stacks older than most of the engineers maintaining them.
That's where I learned the only thing worth bringing to a CXO: the truth about which bets will compound, and which will quietly cost you two quarters and a senior hire.
Alongside the enterprise track, I co-founded a startup — the other half of the lens I bring. Founder pace, owner's mindset, and the kind of decisions you make when it's your own capital and your own team on the line.
I don't come in with a deck. I come in with questions. Then I write what I'd do if it were my company, my capital, my team. Because for the engagement, it is.
The first conversation is a working session, not a pitch. Bring the problem you can't quite name. We'll spend forty-five minutes pressure-testing it.
Book a 30-min call →