The Deep Turnaround (DT) integration project investigates how AI-driven video recognition of aircraft turnaround activities can be securely connected to LVNL’s technical infrastructure. Originally developed at Amsterdam Airport Schiphol, DT uses multi-camera monitoring and historical datasets to capture, interpret, and distribute real-time information on A-CDM milestones and turnaround events. By providing a verified stream of operational data, DT has the potential to improve sequencing, resource planning, and situational awareness across airport stakeholders. At present, however, DT functions largely in isolation, with limited sharing of milestone data between the Knowledge Development Center (KDC) partners. This research examines how interoperability can be achieved by addressing technological requirements, regulatory compliance frameworks, and organizational barriers. The ultimate goal is to enable collaborative decision-making and reduce fragmented situational awareness. In doing so, the study aims to unlock efficiency gains, support more sustainable operations, and contribute directly to SESAR objectives for a predictable, integrated European air traffic management network.