The full one-to-one experience, per person. Their own diagnostic and path, their own AI co-pilot as a guide, their own product carried from idea to a working build. Best when you want a few people taken deep and to return with greater capability.
One shared way of working with AI, built by doing real product work.
Design is about delivering solutions to problems nobody else thought of, not drawing rectangles or following patterns, through communication, craft and judgement. Up to now, your team's bottleneck has been a lack of diverse skills and ever-closing timelines, often causing you to ship the first solution to a problem. AI changes that. It plugs the gaps in your team's capability and frees them to chase higher-value ideas they previously discarded. This course teaches your team to use AI to augment their skills and push their ideas further than ever before.
Your team has sat through webinars and read the threads. They've dabbled with AI, but that's not the same as using it in a team under pressure to deliver. I focus on how you can operationalise AI in your team's day-to-day.
What makes me an authority on AI within design? I've spent the last two years rebuilding how I work around AI on real products in startups and large orgs. With 30 years leading teams and delivering high-stakes products, I bring training that helps your team apply AI effectively.
Every person starts with the same diagnostic I run one-to-one. Each person comes away with a clear understanding of where they are, their AI maturity and what to focus on next. As a design leader, you come away with a map of where the whole team sits on the AI Native ladder, and where the effort will pay off most.
That map shapes the curriculum before we start.
The full one-to-one experience, per person. Their own diagnostic and path, their own AI co-pilot as a guide, their own product carried from idea to a working build. Best when you want a few people taken deep and to return with greater capability.
The course adapted for the team. Shared live lectures, the curriculum aligned to your goal, and the team split into small squads that each build a real product across the programme. Best when you want the whole team to learn together and come away working more consistently.
You lose the per-person AI guide. You gain a team that learns together, holds each other to it, and comes out working the same way, with shared habits and clearer delivery.
The curriculum bends to the team.
Seventeen lessons, four stages, but not every team needs every stop. We set the weighting based on the diagnostic map: heavier on prompting and agents for one team, and on research and definition for the other. The founder-facing stops come out unless you're building to pitch.
One the team keeps and builds on.
Built and working.
So everyone briefs AI the same way and gets more consistent results.
The part no tool gives you.

I've spent 30 years designing and building products, in-house and on the tools, at Microsoft, Channel 4, Sainsbury's, NatWest and E.ON. Over the last two years, I've rebuilt the way I work with AI on real 0-to-1 products, so your team learns what I actually do from someone who is still doing it.
Where they are with AI, what you want them building, and how many. I'll come back with a shape and a plan for the outcome you want.
A few teams at a time, so the support stays real.