IAG to Deploy AI-Powered Engine Technology Across Airline Fleets

IAG to Deploy AI-Powered Engine Maintenance Technology Across Airline Fleets

International Airlines Group (IAG) is preparing to implement an artificial intelligence (AI) driven tool across its airline fleets aimed at optimizing engine maintenance schedules. This initiative seeks to enhance operational efficiency and reduce delays by leveraging advanced algorithms to analyze extensive data and recommend tailored maintenance programs for specific engines.

Innovation in Engine Maintenance

The AI technology, developed internally by IAG’s AI laboratory in Barcelona with collaboration from its London innovation hub, offers engineering and maintenance teams data-driven insights to streamline maintenance activities. By managing shop visits, spare engine availability, and parts installation more effectively, the system helps mitigate risks associated with poor scheduling or unavailable components. Maintenance plans are presented through a color-coded Gantt chart, providing clear visualization to facilitate better coordination and planning.

Aer Lingus, IAG’s Irish airline, is the first to adopt this system, initially applying it to the CFM56-5B engines on its Airbus A320 family aircraft. The group intends to extend the deployment to other carriers within its portfolio—including British Airways, Iberia, Vueling, and Level—by the end of 2025.

Ben Dias, IAG’s chief AI scientist, highlighted the practical benefits of the technology, stating, “By applying advanced algorithms, we’re making our engine maintenance program more efficient. We are avoiding unnecessary maintenance delays to ensure that our fleet is available and in service. The system gives our people the data and tools they need for smarter planning and better teamwork.”

Industry Context and Competitive Implications

The rollout of AI-powered engine maintenance technology occurs amid significant challenges in the aviation sector. The market for new-generation engine leasing is projected to require approximately $20 billion in liquidity by 2033, exerting financial pressure on both airlines and lessors. This heightened demand is expected to intensify competition among a limited number of engine leasing companies, encouraging them to pursue technological advancements to maintain a competitive edge.

IAG’s move may prompt rival airlines and leasing firms to adopt similar AI-driven solutions. This trend is already visible in the industry, with companies such as BAE Systems deploying AI-based decision-support tools like Rattlesnaq to extend the operational lifespan of military aircraft, including the Typhoon fighter jet.

The adoption of AI for maintenance planning by IAG underscores a broader shift within the aviation sector toward smarter, data-informed strategies designed to improve operational efficiency while addressing evolving market dynamics.