As oil and gas organisations navigate mounting pressure to improve operational availability, optimise capital spending, and meet strict safety standards, traditional maintenance models are no longer enough. Managing the full lifecycle of capital-intensive infrastructure, from exploration and production assets to pipelines and refining facilities, demands a radical rethink of asset lifecycle management that transforms static, reactive workflows into dynamic, closed-loop processes.

In this interactive session, participants will explore how SAP's integrated solutions, including SAP Asset Performance Management (APM), Field Service Management (FSM), and core S/4HANA EAM, unify operations to align customer-facing service management directly with asset performance. Attendees will examine how embedding artificial intelligence, Industrial IoT, and mobile capabilities directly into daily operations delivers real-time visibility from initial investment through field execution.

The roundtable provides a practical forum to discuss how predictive analytics, reliability engineering, and AI-driven scheduling converge to elevate operational excellence across the energy value chain. Discover how leveraging SAP Business AI and connected data frameworks helps oil and gas leaders reduce risk, empower field technicians, and extend asset life to achieve safer, more resilient, and sustainable operations.

Key Discussion Areas
• Adopting closed-loop lifecycle management with unified visibility and AI automation across oil and gas operations
• Embedding predictive analytics, risk evaluations, and reliability engineering to transition from reactive maintenance to prescriptive upkeep
• Optimising field service execution through AI-driven scheduling, dispatching, and mobile work-order management
• Leveraging SAP Business AI and enterprise data foundations to accelerate operational innovation, cross-enterprise collaboration, and sustainable asset performance