Prompt Engineering to Learning Systems: Woodside's Agentic Ecosystem

Woodsides Agentic Maintenance Framework connects frontline execution to longhorizon strategy, turning each job into fuel for continuous improvement. The approach uses governed evidence and multiagent AI to assemble the right context at the decision pointimproving request quality, planning accuracy, and execution readinesswhile capturing planvsactual signals that strengthen backlog quality, scheduling confidence, and longterm maintenance strategies. The result is a closed loop where execution improves strategy, and strategy improves execution, all within existing governance and systems of record. In this talk, well share practical lessons from designing the tactical layer (Maint Assist) and the strategic layer (Maint Intel), show how evidence is created once and reused across the lifecycle, and outline a maturity path from prompts to agentic orchestrationfocused on safety, reliability, and efficiency.