We build AI products and fix the gap between transformation strategy and delivery — in sovereign enterprises, energy majors, and governments across the UK, GCC, and EMEA.
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Most transformation executives
advise on AI.
We build it.
In sovereign enterprises, multinationals, and governments where decisions are stuck, accountability is muddy, and nothing is moving.
Twenty years of doing this across sovereign-fund-owned businesses, multinationals, and governments — in environments where buy-in is contested, data is messy, and the stakes are real.
I designed the Prime Minister's Delivery Unit in Kuwait with The Office of Tony Blair. I ran pre-merger integration for a GCC shipping company acquired by Hapag-Lloyd, consolidating support functions across two markets, running shared service due diligence, and saving £24M in CAPEX. I built HR change governance for a major oil and gas multinational covering 70,000+ employees.
Most recently I founded GRO Ltd and built three production-grade AI platforms in 10 months. Advising on AI deployment without having built anything felt dishonest. Now I can tell the difference between what AI can actually do and what looks good in a vendor presentation.
That combination — operating model transformation, programme governance, and hands-on AI delivery across the UK, GCC and EMEA — is what I bring to senior interim and advisory mandates.
Based in London. Available internationally.
Each mandate is different. But the problem is almost always the same: the gap between what was promised and what is being delivered. I close that gap.
Three production-grade AI platforms built and shipped through GRO Ltd in 10 months. Not prototypes — working products. This is what gives me the right to challenge a vendor's delivery timeline.
We take on one or two senior interim engagements per year — where the programme is genuinely complex, the environment is politically sensitive, and the gap between strategy and delivery is costing real money.
If you have a transformation or AI deployment mandate that needs someone who has seen this before — and built the tools to prove it — I would like to hear from you.