Autonomous Enterprise

Ferose V R, breaks down the Autonomous Enterprise concept from its foundations—explaining how AI agents transform work, what it means for people, and why humanity must stay at the center.In this foundational episode, Julia and Benedikt welcome Ferose V R to break down the Autonomous Enterprise concept from the ground up. With so many years at SAP and teaching experience at Columbia University, Ferose explains how enterprise software is fundamentally shifting—from humans adapting to software, to software adapting to humans through AI agents that understand intent and orchestrate across systems.He illustrates this transformation with concrete examples, showing how multiple AI agents collaborate behind a single prompt. Ferose addresses the real fears around job transformation, emphasizing how work evolves from being operators of processes to orchestrators of outcomes. He shares why leaders must communicate with honesty, humanity and clarity, and explains the essential skills needed: systems thinking, comfort with ambiguity, and lifelong learning. This episode establishes the core concepts and human-centered philosophy that will guide the entire podcast series.

At SAPPHIRE, Christian Klein presented the Autonomous Enterprise as a central part of SAP’s strategy. In this episode, Peter Maier explains how governed Business AI turns enterprise data into decisions, automation, and verifiable business results.In this kickoff episode of the “Autonomous Enterprise” podcast, hosts Julia Kloppenburg and Benedikt Gieger speak with Peter Maier, who leads Strategic Customer Engagements for SAP’s CEO. They discuss how the Autonomous Enterprise is becoming a concrete operating model for leading companies, built on enterprise‑grade, governed Business AI embedded in ERP. Peter shares key observations from SAPPHIRE in Orlando and Madrid, where board and C‑level discussions shifted from testing AI in pilots to scaling it into production for measurable outcomes. The conversation focuses on three core dimensions: business value beyond token consumption, better predictability based on trusted business data, and the ability to scale AI agents from a single use case to end‑to‑end processes. They also address governance, auditability, and change management so organizations can stand behind every AI‑driven decision. The episode closes with a clear recommendation for executives: start with one critical, traceable process, validate the impact, and then expand the autonomous enterprise step by step.