Where this started
I'd been deep in the AI agent space for months when I joined a dive expedition in Indonesia with the Marine Megafauna Foundation. Four dives a day. Hours drifting through coral systems watching manta rays and reef fish, no screens, no talking. A lot of zen time. Between dives, some of the conversations on the boat touched on AI: one person was wrestling with how it would affect his workforce, another was thinking about it from a board strategy angle. Nobody had a system for figuring out what to actually do. The technology wasn't the bottleneck. The system was.
That's what the AGENTIC Framework is. An operational methodology for AI agent adoption that covers the full cycle: surfacing workflows worth automating, scoring and prioritising them, engineering the solution, monitoring what's live, and tracking the frontier for what comes next. Governance and change management run alongside every stage, not after.
Where it's being applied
The framework is currently being applied at two organisations. Marine Megafauna Foundation is a marine conservation non-profit with research operations spanning multiple countries. MDF Global is a minerals exploration venture studio where the workflows are commercial, fast-moving, and high-stakes. Working across both gives me real feedback loops: what works in conservation research gets pressure-tested against commercial operations. What holds up in both is worth keeping.
How I work
I build in the open. The full framework is published and freely available because if it can help someone figure this out faster, that's amazing. I don't come from an AI research background or a consulting firm. I've spent years inside organisations, across functions, building things and figuring out what actually works. The framework draws on all of it.
Get in touch
If you're applying the framework, building in the same space, or looking for a system to make AI adoption real, I'd like to hear from you.