International Airport Review•February 18, 2026•3 min read
Posted: 17 February 2026 | International Airport Review | No comments yet
At IAR’s Breakfast Briefing, Tampa International Airport will reveal how an agentic AI platform is reshaping underwing, passenger and parking operations, offering new levels of safety, efficiency and real‑time decision making.
Tampa International Airport (TPA) is set to outline how it is transforming core airport processes with agentic artificial intelligence (AI) at the International Airport Review breakfast briefing taking place in London next month, as the airport rolls out a suite of autonomous operational tools developed with Sotereon.ai’s Underwing Overwatch platform.
Doug Wycoff, Director of Digital Technologies & Innovation at Tampa International Airport who is speaking at the IAR Breakfast Briefing on 18 March.
At the centre of the programme is a new agentic AI solution that converts live LiDAR perception into a fully automated turnaround execution system. By continuously tracking underwing tasks, timings and completion rates, the platform compares real‑time activity with approved turn standards, identifies emerging delays and recommends targeted recovery actions. The system then adjusts the remaining workflow dynamically, offering ground teams machine‑verified visibility of every task taking place beneath the wing.
Speaking exclusively to International Airport Review, Doug Wycoff said: “The result is a safer, more predictable, and more efficient turnaround powered by autonomous decision-making, human-friendly operational guidance, and machine-verified visibility into every step happening under the wing”, thereby reducing manual monitoring and allowing teams to focus on exceptions rather than routine supervision.
Beyond the ramp, the airport and Sotereon have extended the agentic AI model into terminal operations with an automated Shuttle Lobby module that regulates passenger volumes. By measuring live throughput, the tool can autonomously moderate additional inflow to prevent congestion and support the Transportation Security Administration (TSA) checkpoint management. The airport reports that the system has eased peak‑time pressure and improved the overall flow into security screening.
A further jointly developed solution is now being applied across TPA’s parking infrastructure. The parking garage module detects smoke, fire, suspicious activity, vehicle contact and space availability, replacing previously manual monitoring with autonomous decision support. According to TPA, this is improving responsiveness while enhancing the safety and productivity of the facility.
In total, the airport and Sotereon have around six agentic AI solutions in development, forming what the partners describe as a new generation of autonomous operational tools for both airside and landside management.
These innovations will be explored in detail by TPA’s Doug Wycoff at the International Airport Review Breakfast Briefing in London on 18 March 2026. Airport executives attending the session will hear first‑hand how agentic AI is being embedded into live operations, what results are being recorded, and how the approach could be scaled across the wider industry.
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Artificial intelligence (AI), Workforce
Tampa International Airport (TPA)
Sotereon.ai
North America
Doug Wycoff

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