We saw the tech work. And adoption fail.

I’ve spent 20+ years in HR, helping organisations navigate growth, change and the people challenges that come with both, from high-growth companies and family businesses to global organisations undergoing transformation.

Increasingly, those conversations have become about AI. And the more I’ve explored it, the more I’ve realised that the hardest part of AI adoption isn’t the technology. It’s people: how work changes, what skills we need, how leaders lead, and whether people are actually ready to work differently.

That’s where my two worlds come together. I founded Ignition Point Ventures to help leaders build stronger organisations. Aidoptiv is a natural extension of that work, bringing a people and organisational lens to AI adoption.

Because the future of AI isn’t just about what the technology can do. It’s about what people can do with it.

I started as a Software Engineer and moved into IT leadership early in my career. Over the 25 years since, I've held regional and managing director roles across the tech industry worldwide, leading diverse teams both remotely and on-site.

I've led product, engineering and delivery teams building mission-critical systems for enterprise and regulated government environments, including applying machine learning to real operational problems since the early 2010s.

Here's what I've learned: Successful digital transformations can only be measured after the delivery team goes home, and technology itself often matters less than how readily people embrace it. Understanding not just how work flows through a business, but why it's done that way, is what actually drives improvement. Technology only sticks when it's a genuine upgrade on the status quo, and AI is no exception.

I've spent 25 years making complex, mission-critical technology stick. Now I'm doing the same for your investment in AI.

I've spent close to a decade across HR, operations and recruitment, inside IT companies, running my own consultancy, and eventually building a company from the ground up. That range taught me to read a business as a whole, not just the function I sat in: how work actually moves, where it gets stuck, and where good people quietly work around a broken step because nobody had time to fix it.

Somewhere along the way, that work turned into work on AI. I co-founded Hira AI, an AI hiring platform, and run it end to end, across product, engineering, sales and fundraising. Building it taught me that the hardest part of AI adoption is never the technology. It's deciding where the machine should stop and a person should take over, and most businesses never make that decision on purpose.

That's the question Aidoptiv exists to answer for other businesses: where judgement and context are worth more than speed, and where a machine can safely take the load.

Because getting AI right was never about the software. Now I help businesses make that call, so their people use AI instead of working around it.