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Tampa International Airport Unveils Three AI Initiatives

Tampa International Airport Unveils Three AI Initiatives
Tampa International Airport (TPA) is preparing to introduce a series of advanced artificial intelligence (AI) initiatives aimed at revolutionizing airport operations. These developments, created in collaboration with Sotereon.ai, will be showcased at the International Airport Review Breakfast Briefing in London next month. The new agentic AI solutions are designed to improve safety, operational efficiency, and real-time decision-making across underwing, passenger, and parking functions.
Transforming Aircraft Turnaround and Terminal Management
Central to TPA’s AI strategy is the Underwing Overwatch platform, which utilizes live LiDAR data to automate and optimize aircraft turnaround processes. This system continuously monitors underwing activities, comparing real-time operations against approved standards to identify delays and suggest targeted recovery measures. By providing machine-verified visibility into every step, the platform reduces the need for manual supervision, enabling ground teams to focus on exceptions rather than routine tasks. Doug Wycoff of TPA highlighted that this approach results in a safer, more predictable, and efficient turnaround, supported by autonomous decision-making and human-friendly operational guidance.
Extending beyond ramp operations, TPA and Sotereon have developed an automated Shuttle Lobby module to enhance terminal management. This tool regulates passenger flow by measuring live throughput and autonomously controlling inflow to prevent congestion, thereby supporting Transportation Security Administration (TSA) checkpoint management. The airport reports that this innovation has alleviated peak-time pressures and improved the efficiency of security screening processes.
Enhancing Parking Safety and Operational Responsiveness
A third AI initiative focuses on parking infrastructure, where an AI-powered parking garage module autonomously detects smoke, fire, suspicious activity, vehicle contact, and space availability. This system replaces manual monitoring with real-time decision support, significantly improving responsiveness and enhancing both safety and productivity within parking facilities.
Challenges and Industry Implications
Despite the promising benefits of these AI solutions, TPA faces several challenges in integrating them into its existing infrastructure. Data security and privacy concerns are increasingly prominent as AI adoption accelerates, while the financial costs associated with implementing and maintaining these advanced systems require careful oversight. Airport leadership is also emphasizing the importance of strategic planning and robust financial performance analysis, reflecting a broader industry shift in management priorities.
The rollout of TPA’s AI initiatives is expected to intensify competition within the aviation sector, prompting other airports to accelerate their own AI deployments to maintain market share. This competitive dynamic may lead to a rapid adoption of similar technologies, further driving the pursuit of operational excellence.
Currently, TPA and Sotereon have approximately six agentic AI solutions in development, representing a new generation of autonomous tools for both airside and landside airport management. These advancements will be detailed by Doug Wycoff at the International Airport Review Breakfast Briefing in London on 18 March 2026, offering industry executives valuable insights into the integration, outcomes, and scalability of agentic AI in live airport environments.

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