Shadow AI in Sustainability Teams (and How to Govern It) | George Diplas & Martin Sieg

AI is already inside your sustainability team's workflows. The question is whether leadership knows about it and whether it can hold up under scrutiny.In this episode of Before The Tipping Point, we sit down with George Diplas, AI governance lawyer, and Martin Sieg, sustainability tech builder and co-founder of Muuvment IQ, to talk about what responsible AI implementation actually looks like for lean sustainability teams navigating regulatory pressure and reporting overload. We also cover how to adopt AI without slowing teams down or blocking experimentation.In this episode, you'll learn:How to run an AI amnesty and find out what tools your team is already usingWhy a governance policy sitting in a folder doesn't change behavior and what doesGeorge's five-part evidence standard for board and investor-facing sustainability claimsHow Muuvment IQ handles citation traceability, eco-mode prompting, and greenwashing checksWhy off-the-shelf AI often fails sustainability teams and what Movement Labs (their custom build arm) was built to solveTools and frameworks mentioned:Muuvment IQ:  a sustainability-specific AI platform with built-in citation traceability, gap analysis, and regulatory compliance checkingMuuvment Labs: Muuvment IQ's custom build arm, for teams whose internal workflows need more than an off-the-shelf solutionAI amnesty:  George's term for the essential first step in any governance process: finding out what AI tools are already in use before writing a single policyAbout the guests:George Diplas is an AI governance lawyer helping organizations move from shadow AI to structured, defensible implementation. Martin Sieg is a sustainability tech builder and co-founder of Muuvment IQ, a platform built specifically for sustainability professionals who need AI that already speaks their language. Find the governance toolkit and assessment tool at labs.muuvment.com, and learn more about Muuvment IQ at muuvment.com.Support the show