Which AI opportunities
are worth actually pursuing?
Leadership teams are under real pressure to make good AI investment decisions.
The sprint helps you work out where AI is worth backing — and where it isn't — before you commit budget, time, or credibility to the wrong direction.
I'm taking a small number of early sprints — and early access comes with a reduced investment.
Clear priorities for
where AI is worth backing
3 days
in-person or remote
Decisions with rationale
ready to act on
Independent
no vendors, no pre-sold platforms
Save
Months of time and investment
Why this matters now
The challenge isn't having ideas. It's knowing which ones are worth pursuing
Most organisations have more ideas and pressure than they have clarity. What's harder to find is a structured, honest way to evaluate those ideas — one that the people responsible for the decision can actually stand behind.
Decisions are landing at the top
AI investment is now a board and senior leadership conversation. Strategy leads, product directors, COOs and founders need to build a case that holds up to scrutiny, not just a slide deck of possibilities.
Data readiness is the hidden blocker
Many organisations discover too late that their AI ambitions outpace their data infrastructure. Knowing that early — and understanding what it means for each opportunity — changes the shape of what's worth doing first.
Wasted motion is the real cost
The risk isn't being slow. It's investing energy, budget and leadership credibility in the wrong direction. That cost compounds quickly and is difficult to reverse.
A fixed timeframe, the right people, and a structured process do something internal discussion rarely manages on its own: clarity everyone can commit to.
What you leave with
Who it's for
Leadership teams under pressure to make sensible AI investment decisions.
Whether you're exploring AI and can't land on where to start, or you've done the thinking and nothing has landed — the sprint is for organisations that need to decide, not just explore.
It's not a discovery workshop. It's a process for reaching real decisions.
WHY THIS EXISTS
It's not AI consulting. It's decision-making, applied to the question your organisation is already facing.
I built the AI Opportunity Sprint because the quality of the decision usually determines the outcome. Not the volume of ideas, not the ambition of the brief. And because organisations deserve a better process for this than vendor demos, internal politics, and workshops that produce decks but not direction.
Twenty-five years across design, product and strategy gave me a particular perspective on what good decisions look like — and what gets in the way of them. That's what the sprint is built on
Questions about the AI Opportunity Sprint
What does it cost?
Investment is scoped per organisation — it depends on size, complexity, and what's involved. The right starting point is a conversation. If there's a significant mismatch on budget, I'll say so early.
Do we need AI expertise internally?
No. You need people who understand your business, your customers, and where the pressure is. That's what drives the output — not technical knowledge of AI systems.
How much time does it ask of our team?
There's some preparation beforehand, three focused days for the sprint itself, and a short follow-up once the output is ready. The people in the room need to be the right ones — senior enough to make decisions, not just observe.
What happens after the sprint?
You leave with a clear shortlist, the reasoning behind it, and a view of what needs to happen next. Some organisations take that forward independently. Others choose to stay in touch. Either works — the output is designed to stand on its own.
If this feels relevant, it's worth thirty minutes
No preparation needed. We'll talk through where you are, what you're trying to decide, and whether the sprint is the right fit for your organisation right now.
