The product consultant
who has worked where
mistakes are expensive.

A bit about me.

I've spent my career in financial services product, which sounds dry until you've actually done it. Pension platforms, FCA-regulated investment software, insurance underwriting systems: environments where the regulatory constraints are real, the data is complicated. The cost of a bad product decision isn't abstract.

What I've got good at over the years is the bit in the middle: understanding what a business actually needs, translating that into something a development team can build. Keeping everyone aligned while it happens. I've managed teams, worked with offshore developers, sat in front of boards. I have pushed back on clients when their requirements didn't make sense.

I use AI tools in my own work regularly: for research, writing first drafts, pulling together notes, structuring documentation. Things that used to take most of a day now take a couple of hours. I bring that into client work where it helps. The judgement and the decisions are still mine. The slow, repetitive parts just move faster.

AI is something I'm actively educating myself on. Not to become a technical expert, but to understand what it can genuinely do for businesses: what is worth trying, what the limitations are. Where the practical value actually sits. I want to give clients a grounded view, not just pass on what I've read. I stay close to it, test things in my own work. I keep updating my thinking as it develops.