This whitepaper explores how agentic AI can transform airline turnaround operations by shifting from reactive delay management to proactive, real-time coordination. It highlights how even minor disruptions—like a late catering truck—can cascade into significant network-wide delays, increasing costs and impacting customer experience. By leveraging agentic AI, airlines can monitor live operational data, detect risks early, and receive actionable recommendations that account for constraints such as crew rules and resource availability. Built around four pillars—turnaround monitoring, exception management, performance reporting, and resource optimization—the approach enables airlines to improve on-time performance, reduce disruptions, and create a more resilient, data-driven operational model.

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