AI, Sustainability and the Autonomous Enterprise | Sophia Mendelsohn, SAP SE

Does AI make us more sustainable, or does it simply accelerate the status quo? In Episode 15, Sophia Mendelsohn, Chief Sustainability and Commercial Officer at SAP SE, brings two decades of sustainability leadership to bear on the question every supply chain executive is quietly asking. Her answer is direct: AI is a mirror. It will only reflect the prompts and training data we give it. If we change the input, we change the outcome. This conversation covers what it actually takes to move from aspiration to autonomous action. Sophia walks through three concrete stages of what AI-powered sustainability software can do: help leaders see what was previously invisible, fill in data gaps transparently, and automate decisions that today require four or five people on a call. She argues that supply chain leaders should stop thinking about sustainability as a compliance burden and start thinking about it as a financial equation, with measurable ROI on every environmental input. She also draws a clear boundary around what AI cannot do: negotiate with suppliers, manage team dynamics, or replace the human work of driving systemic change. **Episode Chapters** 00:00 – Introduction: SAP Autonomous Enterprise Podcast 00:30 – Welcome and guest introduction 01:05 – AI as a mirror: does it make us more sustainable? 03:16 – The elephant in the room: AI's resource footprint 05:14 – SAP sustainability portfolio and the three-stage AI framework 09:43 – SAP as its own first customer: lessons learned 11:31 – Scope 3 emissions: what AI can and cannot do 14:44 – From compliance burden to competitive advantage 17:51 – Two decades on the front line: one old prompt to delete 20:54 – Architecting sustainability into autonomous agents 23:34 – Greenwashing, trust, and the coming wave of consumer power 26:20 – Closing advice for leaders: start with your data 27:21 – Individual call to action: update the prompt 28:07 – Outro **Links** Listen on Spotify Subscribe via PodLink