Where should you actually invest in AI?
Most organisations are either trying to define where AI fits or validate whether their current direction is right. Either way, what's needed is the same — a clear way to decide which opportunities are worth pursuing.
The AI Opportunity Sprint is a hands-on working session that brings the right people together, maps your business from the inside out, and surfaces where AI could genuinely create value.
You leave with a shortlist. A rationale. And the confidence to invest wisely.
The goal: better decisions before investment.
Developed by Scott Parker. Built because too many businesses were rushing into AI without knowing where it would actually make a difference.
The risk isn't moving too slowly on AI. It's moving in the wrong direction.
Too many opinions, not enough evidence
Decisions get made by whoever argues hardest. Curiosity becomes noise.
You've spent money on AI. It hasn't gone anywhere.
Ideas that sound compelling rarely survive contact with commercial reality. The wrong things get funded and the right ones get missed.
The solution comes before the problem
Most AI initiatives start with what the technology can do, not what the business actually needs. That's an expensive place to start.
The sprint exists to change that.
Turning the pressure to act on AI into informed decisions.
The AI Opportunity Sprint gives organisations a structured way to identify and evaluate AI opportunities — whether you're defining your AI direction for the first time or sharpening a strategy already in motion.
How the AI Opportunity Sprint works
Three stages. One clear outcome.
01
Map
We bring the right people together from across the business and map what's really going on — customer experience, internal operations, where effort is high and where things break down.
02
Generate
With a shared picture on the table, we explore where AI could genuinely help. A wide range of opportunities typically emerges.
03
Filter
Every opportunity is tested through five lenses — user value, strategic fit, data readiness, legal and regulatory confidence, and trust and ethics. The list narrows to typically two or three opportunities worth pursuing.
Not just a report. A decision
At the end of the sprint you will have:
Why I built this
I built this sprint because the cost of getting AI wrong is significant. Wasted investment, stalled initiatives, opportunities missed. A few focused days getting the right people in the room, identifying the right ideas, and stress-testing them properly is a fraction of what a misdirected AI programme costs.
The businesses that will stand out aren't necessarily the ones that move fastest. They're the ones that move in the right direction.
Questions about the AI Opportunity Sprint
Is this only for organisations just starting out on their AI journey?
Not at all. The sprint is as relevant for businesses already trying to move on AI as it is for those exploring it for the first time. Whether you need a clear starting point or want to bring more rigour to ideas already in motion, the sprint creates the structure to make better decisions faster.
Isn't this just a discovery process?
The sprint uses a service blueprint to map how your business actually works — where effort is high, where friction exists, where customers are underserved. That's the foundation for everything that follows. Without it, any AI opportunity is just a guess. What you leave with isn't the blueprint. It's a clear shortlist of opportunities ready to take forward.
What can we realistically expect to get out of it?
A clear, prioritised shortlist of AI opportunities with the reasoning behind every decision. Not a report to file away — a set of decisions your team can act on immediately. If after our initial conversation I don't think the sprint is the right fit, I'll say so. You won't invest in something that won't serve you.
Do we need AI expertise internally?
No. You need people who understand your business, your customers, and where the real problems are. That's what drives the quality of the output.
How much time does it require?
How much time does it require?
What if we already have AI ideas?
Good — bring them. The sprint gives you a structured way to evaluate them properly, alongside anything else that surfaces during the process.
What does it cost?
Investment varies depending on the size and complexity of the organisation. The best starting point is a conversation — we can scope it properly from there.
What happens after the sprint?
You leave with a prioritised shortlist, the reasoning behind it, and a clear sense of what to explore next. Some organisations move straight into pilots. Others take stock of readiness first. The point is you're making that decision from a clear position, not a guess.
The clearest next step is a 30-minute conversation.
No prep. Just clarity.
