Value mapping
Quantified opportunity map anchored to the P&L, not to a technology taxonomy.
Capability
AI strategy & transformation
Deciding where AI changes the economics of your business — and proving it within a quarter.
Our point of view
Most AI strategies are portfolios of use cases with an optimistic timeline attached. We build the other kind: a small number of decisions, each with a baseline, an owner, and an evidence gate at 90 days.
The work starts with economics rather than technology. Which cost lines, revenue lines, or risk exposures are large enough to matter, and which of them can be moved by a model that the organisation can actually operate?
From there we design the operating model that has to change alongside the technology: decision rights, funding cadence, data ownership, and the expectations placed on managers.
What we do inside this capability
Portfolio design
A two-speed portfolio with protected foundations and a fast venture budget with 90-day gates.
Operating model
Decision rights, funding, data ownership, and talent implications designed together.
Board and executive alignment
The five questions a board should settle once so the organisation can move without re-litigating.
Research behind this work
Article
The AI operating system: a new way for CEOs to run the enterprise
The companies pulling away from the pack are not the ones with the most models. They are the ones that rebuilt how decisions, capital, and talent flow around AI.
14 October 2026 · 11 min read
Report
From pilots to P&L: why 70 per cent of AI use cases stall, and what unsticks them
Pilot purgatory is rarely a modelling problem. It is a measurement, ownership, and integration problem — and all three are fixable inside a quarter.
30 September 2026 · 9 min read
Next step
Where would ai strategy & transformation move the needle for you?
Bring a live decision. We will bring the pattern from comparable organisations — including the failures.