Overview
Unlocking new levels of automation and personalization in airlines with AI
Our decade-long investment in AI has already transformed core airline functions, from flight scheduling to price optimization. Today, we’re scaling these capabilities with Generative and Agentic AI to unlock new levels of automation and personalization across the airline business. This helps airlines operate more efficiently, retail more effectively, and serve travelers better at every touchpoint.
Airlines in the agentic age: practical use cases and ideas for getting started with AI.
Explore how airlines can apply Agentic AI today.
As AI evolves, Amadeus is advancing agentic capabilities that go beyond insight to reasoning and action, boosting efficiency, enabling smarter decisions, and powering conversational commerce across every airline touchpoint.
Agentic AI for travelers
Agentic commerce, across every airline touchpoint.
Agentic AI for airlines
Agentic intelligence, orchestrating the airline value chain.
Enable end‑to‑end retailing with modular, AI‑native suite of solutions built for airline needs.
The Amadeus AI Policy is guided by a set of core principles designed to ensure responsible and trustworthy use of AI, including human oversight, reliability and safety, privacy and security, transparency, accountability, and sustainability.
Learn more about AI in Airlines
Airlines use artificial intelligence to make smarter decisions, run operations more efficiently, and deliver more relevant experiences to travelers at scale. AI is already embedded across core airline functions, from network and schedule planning to pricing and demand forecasting, to customer servicing and disruption management. At Amadeus, AI is not a bolt‑on. It is deeply integrated into airline workflows, turning complex data into actionable insights that help airlines improve profitability, reduce operational complexity, and enhance the end‑to‑end passenger experience
Airlines rely on artificial intelligence to predict delays earlier and more accurately. These AI models analyze large volumes of historical and real‑time data, such as weather patterns, aircraft rotations, airport constraints, and crew availability, to anticipate disruption before it happens. The result: better operational decisions, faster recovery, and clearer communication with passengers. When AI is embedded into operational systems, airlines can move from reactive disruption management to proactive passenger protection.
AI chatbots help airlines scale customer support during peak disruption moments, when call centers are under pressure. They can answer common questions, guide passengers through self‑service options, and provide real‑time updates, instantly and consistently. Crucially, AI does not replace human agents. It augments them. By handling routine requests, AI frees frontline teams to focus on complex or high‑value cases, improving both customer satisfaction and cost to serve.