I design AI products — and ship working software.
Senior product designer — nine years across B2B SaaS, fintech, and banking. At Enable I lead design for AI decision platforms, prototype them in real, deployed code, and partner with engineers to ship. I built this site the same way.
Recent projects designing decision tools, AI surfaces, and analytics for commercial teams.
A few principles that shape how I design and build.
Reducing complexity is the complexity.
The hardest part of designing for technical products isn't the interface — it's making the underlying system legible. Most ‘simple’ designs hide complexity that has to surface eventually.
I build what I design.
I take ideas to working software with AI — real prototypes in real code, pushed to GitHub and deployed. Engineers implement from something they can click, not guess at, and the design gets pressure-tested as software, not screens.
You can't design trust — you earn it.
Especially with AI. Users don't reject AI — they reject AI they can't verify. So I make the system checkable: show the math, the source, the lifecycle, the confidence.
Research closes the loop.
Customer sessions, prototype testing, observed behaviour — the work product isn't the artifact, it's a closer reading of the problem. Ship the design that earned that reading.
Let's build the real thing.
If you're building AI products — or want a designer who can take an idea all the way to working software — let's talk.