I help organisations discover what is worth building, uncover opportunities in enterprise operations and finance, quantify their potential, and build AI-enabled products validated through real customer partnerships.
I work best in the spaces where there is uncertainty: finding the right problems, creating clarity, and turning opportunities into products.
When you have a complex business problem but aren't sure where the opportunity is,
I combine customer research, workflow analysis, market intelligence, and commercial thinking to identify what's worth solving, so you invest in the opportunities that actually create value.
When you need to decide what to build and why,
I quantify the opportunity, prioritise product bets, and design experiments that test them with real users, so you commit resources with evidence.
When an idea needs proving, not just presenting,
I combine AI, data, and engineering to build working prototypes and test new product possibilities, so you can see what's viable before you invest in building it.
When your teams are held back by slow, manual workflows,
I redesign the processes and build the automation, data, and AI tools that remove the friction, so people spend less time on repetitive day-to-day.
An AI research platform that turns messy, unstructured documents into grounded, source-cited answers you can trust and trace. Designed, built and deployed solo — end to end.
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Role-based AI agents — engineering, design, stakeholder — that plan, use tools and coordinate to work through multi-step tasks like a product team.
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Wiring Figma to AI models to turn designs into working, fully-coded prototypes — building the pipeline from scratch.
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A combined Kano–RICE prioritisation model, plus a custom app I built to run it and turn feature debates into evidence.
I dig into how an organisation actually works and uncover where the real, high-value opportunities are hiding.
I size the commercial potential and decide which bets are worth making — grounded in data, not hunches.
I build working, AI-enabled prototypes and products myself — hands-on, not just recommendations.
I test with real customers and partners to prove value before committing to scale.
I specialise in navigating the "beautiful mess" of complex products — connecting human behaviour, technical systems, and experiences that actually drive revenue.
Over a decade across research, product, design and data, I've learned to move fast: just enough research, a bias to action, and the judgement to know what not to build. Lately I build my own tools — AI systems I ship rather than describe.
I'm as comfortable framing the messy front end of a problem as I am with the technical trade-offs of delivering it.
A short conversation is usually enough to see if there's a fit.
I read every message myself, and I'll reply when I see a possible one.