How a career spanning combat engineering, crisis response, and global finance is reshaping enterprise resilience for the AI age.
In our latest episode of GAEA Talks, we sit down with Jon Evett, Global Head of Business Resilience at Cartier, for an unflinching conversation about what true resilience looks like – and how AI can finally make it scalable. Evett’s path runs from the British Army’s Royal Engineers, through crisis leadership in West Africa’s Ebola response, to senior resilience roles at Canary Wharf Group, Deutsche Bank and JPMorgan, before establishing business resilience at Cartier. That lived experience informs a rare, practical lens on risk management.
Systemic Resilience, Not Siloed Risk
For Evett, resilience isn’t a contingency binder – it’s a whole-of-business discipline that starts long before disruption. He argues the traditional split between “risk” and “resilience” leaves critical gaps. Instead, organisations should design for control → mitigation → contingency in that order, asking fewer, better questions early enough to change outcomes.
Make the Not-Visible Visible
A recurring theme is the difference between visible and not visible risk: most issues are visible if you know where – and have the appetite to look. Evett maps risk indicators across the natural (geology, meteorology, hydrology), built (power, transport, utilities), and social (geopolitics, economics, civil unrest) environments, then ties them to business-specific decisions like site selection, supply chain design, and workforce safety. The goal: turn known-unknowns into known-knowns before they compound into avoidable loss.
Why AI – and Why Now – Cartier x GAEA AI
The constraint has never been the absence of data; it’s been scale and reach. Manually asking the right questions of thousands of locations against hundreds of indicators, at enterprise cadence, is infeasible. That’s why Cartier has partnered with GAEA AI to harness our Large Geotemporal Model (LGM) AI: a system that can ask many questions, in many places, simultaneously, and return conditioned, decision-ready intelligence at a speed, scale, and accuracy far beyond human capability. It is akin to the equivalent of hundreds of risk analysts working 24/7, monitoring threats, safeguarding people, and protecting operations and reputation in real time.
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