Prepare your organization to succeed with AI.
I Don't just advise on what to do, I teach you how to do it.
I help boards and leadership teams set direction, assess readiness, and make informed AI investment decisions. Through advice, education, and independent review, I equip your people to lead the work themselves.
I've sat in the CEO seat. I help PE owners and portfolio leadership make the AI adoption decision deliberately, price the dependency before it's accepted, and build so a vendor problem can't take the business down with it.
AI adoption success is still the exception not the rule.
62%
PE respondents unable to link productivity gains to AI
EY
42%
Up from 17%. Companies scrapping most AI initiatives before production
S&P Global - 2025 Survey
80%+
AI projects that fail
RAND
What is possible when AI is done well?
5x
Greater AI-driven revenue increases.
3x
Greater AI-driven cost reductions.
3.6x
Greater three-year shareholder returns.
The difference is that the top 5% of companies, which we call future-built, have put in place the critical capabilities needed to make AI work at the level of innovation and reinvention as well as to boost efficiencies.
LEARN THE FUNDAMENTALS OF AI ADOPTION
PACE is the structured path to becoming a native AI organisation — one where AI is not bolted on to existing workflows, but built into how the business creates and defends value. Four steps from strategic clarity to compounding, measurable advantage.
It is the framework for achieving the four fundamentals of business value.
1. Defend existing revenue
2. Create new revenue
3. Improve internal operations efficiency
4. Increase personal productivity
01
Position
Before any plan is made, you need an honest picture of where you stand and a clear view of where you are going. A diagnostic of your AI maturity, a map of the gap, and the strategic case for why the journey starts now.
02
Align
Conviction at the top is not enough. This step prepares the extended leadership team, aligns mental models across functions, and addresses the conditions that determine whether adoption takes hold or stalls. The step most programmes skip.
03
Create
A governed, structured approach to AI adoption that connects directly to value creation. Not a pilot programme looking for a use case — a designed system with clear ownership, decision rights, and a direct line to the metrics that matter at exit.
04
Evolve
The intelligence asset compounds over time, but only if someone is actively managing it. This step establishes the measurement framework, adapts the operating model, and turns adoption activity into a story that holds up at exit.
What you leave with
Your board wants an AI plan. Your team needs to know how to build and defend one.
The leadership team is being asked where to invest in AI, what returns to expect and how the business will deliver them. They need the ability to assess those questions themselves.
I teach your team how to work through these decisions using your own business priorities and live investment proposals.
By the end of the engagement, your team will have developed its own investment recommendations, documented the assumptions and evidence behind them, and agreed the next steps and responsibilities. They will be able to explain:
Which business problem each proposed investment addresses.
Why AI is appropriate, and which alternatives they considered.
What the investment requires and how its results will be judged.
What to pursue, what to defer and what to reject.
They leave with a decision they can defend and a method they can use for the next one.
Additional Resources
Unsure about where to start? Check out these resources.
Don’t fund the next AI failure.
19 questions PE owners and portfolio company executives should ask before approving an AI initiative.
A CLEARER APPROACH TO A COMPLEX REALITY
Deterministic by default.
AI by advantage.
Resilience by design.
Every use of AI buys a capability and creates a dependency on a model, a provider, and infrastructure the business doesn't control. The scarce skill right now isn't AI fluency. It's judgement: knowing where that trade is worth making, and building so the dependency can fail without the company failing with it.
This isn't an argument against AI. The businesses that win the next decade will use it aggressively. It's an argument against adopting it by default instead of by decision.
My Books
UNLOCK THE POTENTIAL OF AI WITH CONFIDENCE
Strategy & Value Creation
A SIMPLE YET POWERFUL PROCESS
ReSCUED - A Value Creation Framework
Break through growth barriers and create lasting value with proven strategies that deliver measurable results
