As SAP organizations adopt SAP S/4HANA and modern operating models, traditional process visibility and point-in-time controls are no longer sufficient to manage scale, complexity, and risk. Fragmented reporting, manual monitoring, and after-the-fact analysis leave teams reactive to process breakdowns, compliance issues, and performance leakage across critical end-to-end processes such as Customer-to-Cash (C2C). This session examines how enterprises are operationalizing AI-enabled process intelligence to establish continuous monitoring across SAP-centric business processes. By combining process mining with AI-enabled machine learning, organizations gain real-time insight into actual process execution, surfacing control gaps and high-risk deviations without added manual effort. Attendees will learn how this approach shifts oversight from reactive analysis to proactive, continuous governance that strengthens audit readiness and drives sustained operational improvement.

Key learning objectives:

• Learn how to design and implement continuous monitoring across end-to-end C2C processes.

• Discover how process intelligence exposes control gaps, deviations, and inefficiencies in real time.

• Understand how to operationalize ongoing process oversight without increasing manual workload.

• Explore how organizations can move from reactive controls to proactive compliance and performance management.