Most organisations have bought the licences and run the pilots. Far fewer have changed how they actually work.

I help leadership teams decide where AI creates real value, and get it into how work actually gets done.

The Reality
AI moved faster than most organisations’ ability to decide what to do with it.

Getting value from it can mean finding the two or three workflows where AI genuinely changes the economics, rethinking how decisions get made when analysis takes minutes instead of weeks, or redesigning roles before the tools redesign them by accident. It’s also making sure all that activity actually moves the numbers that matter.

(The token bill is a number too. Just not the one you want moving.)

When to call me
When you’re asking questions like:

• Where can AI genuinely create value in our business, beyond pilots, tools and hype?

• We’ve rolled out AI tools. Why does nobody’s work look any different?

• We have forty use cases in a spreadsheet. Which three matter?

• What does AI change about our roles, workflows and who decides what?

• The board wants an AI strategy. We’d like one that survives contact with the organisation.

Or simply: AI just changed something in your market, and you haven’t worked out yet what it means for you.
That’s usually reason enough to talk.

The approach
Discover. Align. Drive.

Discover - see where AI actually fits.
I map how work really flows across your teams: where the time goes, where decisions get stuck, where people work around the system. Then I hold that up against what AI now makes possible and where your market is heading. Some of what surfaces is an AI opportunity. A fair share is a process problem, and that gets fixed first. Without strong foundations, AI becomes an expensive way to summarise broken processes.

Align - decide what matters, together.
A use case nobody owns is a wish. I get leadership looking at the same picture, stress-test the business case, and force the real choices: which bets to back, what’s out of scope, and what changes in roles and decision rights. What comes out is a short, prioritised roadmap, each item with an owner and a measure of success.

Drive - make it stick.
Most AI rollouts end in a launch email. Most usage curves end somewhere flat. I build adoption into the work, on whichever tools you already run: hands-on training around your teams’ real tasks, internal champions, the first prompts and agents for priority workflows, and reporting to leadership on what’s used, what’s working, and what to scale or stop. I stay close for as long as it’s useful.

The format follows the challenge.
One day - Reset the AI agenda.
For leadership teams that need to cut through the noise, agree where AI matters for the business, and leave with a few decisions that actually matter.

Focused sprint - Find where AI pays off. Build the way forward.
Typically 2–6 weeks of workflow mapping, prioritisation and business-casing that turns “we should do something with AI” into clear choices and a roadmap someone owns.

Embedded - Make it stick.
Ongoing, alongside the leadership team through rollout: training, champions, first agents, and the reporting that tells you what to scale. Without hiring a Head of AI before you know what the job is.

Let's talk
Whether you'd like to learn more about my work or share a challenge you or your team are facing - let's jump on a call, or coffee.