The programme discipline that turns AI pilots into AI value.
Most enterprises don't have an AI adoption problem — they have an AI portfolio problem. Dozens of pilots, no shared governance, no consistent way to measure what's actually working. We bring the programme management discipline that turns scattered AI initiatives into a portfolio with real, board-visible return.
of CEOs report zero measurable ROI from AI in the past 12 months
say AI is capable, but their organisation isn't set up to capture its value
say AI is genuinely core to how their business operates, despite 73% using it regularly
Source: Publicis Sapient, 2026 Global Enterprise AI Report (PwC Global CEO Survey, January 2026, cited therein).
Portfolio governance that actually gets used
When every team runs its own AI pilot with its own success criteria, leadership ends up with a slide full of green statuses and no real picture of value. We set up a single, lightweight governance layer across your AI portfolio — not a bureaucratic gate that slows teams down, but a shared way of deciding what to scale, pause or kill.
The goal is fewer, better-resourced initiatives that actually reach production, not a longer list of pilots.
- One evaluation framework applied consistently across every AI initiative
- Clear stage-gates from pilot to production, with defined exit criteria at each
- A single view for leadership of what's live, what's stalled, and why
Value realisation, tracked from day one
ROI on AI initiatives is notoriously hard to prove after the fact, because nobody agreed what to measure before the project started. We build the value case and the measurement plan together, at the start of every initiative — so the business case is testable, not aspirational.
That evidence feeds straight into the same reporting your board already expects for every other strategic investment.
- Baseline metrics agreed before a single pilot goes live
- Value tracked against the original business case, not redefined after the fact
- Board-ready reporting that shows real portfolio return, not activity
A structured engagement, not an open-ended retainer
Every advisory engagement follows the same disciplined shape — grounded in your business, evidenced at every stage, and designed to hand over a system your team can run, not a dependency on ours.
Baseline
Agree what success looks like and how it will be measured, before build starts.
Govern
Apply one consistent stage-gate framework across every AI initiative in flight.
Deliver
Move initiatives through pilot to production with clear ownership at each stage.
Realise value
Track outcomes against the original business case and report it plainly.
Questions we get asked
Most enterprises do not have an AI adoption problem, they have an AI portfolio problem: dozens of pilots, no shared governance, and no consistent way to tell which of them are working.
Governance light enough that delivery teams actually use it — a shared view of what is running, who owns it and what it is meant to achieve. Governance nobody uses is hard to distinguish from no governance at all.
Value realisation is tracked from day one rather than assessed afterwards, so a pilot that is not going to pay back can be stopped while stopping it is still cheap.
A structured engagement with a defined scope and end point, not an open-ended retainer. Talk to the advisory team to scope it.
Talk to our advisory team about ai transformation management
A short discovery call is enough to map where this engagement would create the most value in your organisation.