Agentic AI has the potential to transform how airports operate. By providing a single operational view, orchestrating decisions across stakeholders, and delivering context‑aware recommendations, it can help airports move beyond monitoring events toward more coordinated responses.
In this white paper, Amadeus explores how agentic AI could support passenger flow optimization, airport operations, disruption management, and ramp operations. It also examines the role of data exchange, orchestration, and governance in helping airports harness AI effectively.
Register your interest in the white paper to explore the opportunities, challenges, and practical considerations for agentic AI in airport operations. We'll email you a copy when it's published.
Optimized passenger flow
Faster responses during disruption
Fewer knock-on delays
Better assistance for passengers needing special attention
A smoother overall experience
Reduced disruption impact
Improved turnaround performance
Lower risk of penalties
Better baggage and ramp decision-making
More effective use of aircraft hold capacity
Improved coordination with airports and ground handlers
AI is already mainstream in travel, with nearly eight in ten travelers using AI for trip planning – but its use today is mainly assistive, with only 6% relying on AI to handle ‘most’ of their travel planning.
*Figures based on Amadeus research conducted in March 2026
The potential of agentic AI for airports
Optimizing passenger flow with AI-assisted decision support
Creating more connected and coordinated airport operations
Improving disruption management and ramp operations
Building the data, orchestration, and governance foundations for AI success
While generative AI chatbots respond to questions with text-based insights, agentic AI can monitor events, reason through changing situations, proactively recommend next steps and support authorized actions, with appropriate human oversight. In an airport, that means helping coordinate decisions across the ecosystem, not simply answering questions.
Agentic AI can connect intelligence across airport functions, from passenger flows and disruption management to baggage and aircraft turnaround. By monitoring events, anticipating what comes next, and providing context-aware recommendations, it can help airport stakeholders make faster, more coordinated decisions.
Agentic AI differs from earlier AI models by not just generating answers, but autonomously planning and completing multi-step tasks toward a defined goal, subject to appropriate controls. This creates new risks such as bias, data privacy, and error propagation.
With Amadeus’ integral position in the industry and new potential risks emerging, we have taken a number of steps to support responsible and safe use, which include:
More detail on these initiatives here
AI needs more than access to data. Orchestration brings together data, business logic, and operational context from across the airport ecosystem, enabling AI agents to understand the bigger picture and recommend coordinated actions. This can help airports move from siloed decision-making toward faster, more informed responses across stakeholders.
Amadeus’s approach to AI: responsible, scalable, and grounded in trust.
Explore key definitions like agentic AI, agents, agentic flows, supervised autonomy, and systems of record.