Abstract
<jats:p>This chapter develops the concept of Sustainable and Green Autonomous BPM as a higher-order process capability through which environmental objectives are embedded into the sensing, analysis, adaptation, execution, and governance of business processes. It argues that environmental performance should not be treated as a peripheral reporting outcome but as an internal dimension of process intelligence. Building on BPM, Green BPM, self-adaptive process systems, and process-level environmental measurement, the chapter explains how environmentally intelligent process systems can detect sustainability-relevant conditions, interpret their operational significance, and adjust execution within defined governance boundaries. It also highlights the role of process mining, environmental metrics, enabling analytics, human oversight, and staged implementation. The chapter concludes that the future of BPM will increasingly depend on its ability to integrate ecological intelligence into adaptive and accountable process management.</jats:p>