IAG Unveils AI Engine System to Streamline Maintenance
International Airlines Group (IAG), the parent of British Airways, Iberia, Aer Lingus, Vueling, and Level, is harnessing artificial intelligence to transform operations across its member airlines. At the heart of this transformation is the development of cutting-edge AI solutions at dedicated labs in London and Barcelona, where the group is focusing on areas such as aircraft maintenance, customer experience, and operational efficiency. One of the most notable innovations to emerge from these labs is the new Engine Optimization System (EOS), a platform designed to overhaul how IAG manages engine maintenance across its fleet.
EOS, developed in-house at the Barcelona lab, applies AI algorithms to optimize jet engine maintenance schedules. Traditional planning systems could only assess a limited number of variables. In contrast, EOS evaluates millions of possible scenarios to suggest the most cost-effective, operationally sound, and safety-compliant options for maintenance timing. The system takes into account part availability, compliance with aviation regulations, and operational impacts such as minimizing flight disruptions.
Rolled out in early 2025, EOS is currently used by Aer Lingus to manage its fleet of Airbus A320-200s powered by CFM56 engines. Iberia is next in line to adopt the technology, with the entire IAG group expected to implement EOS by the end of 2025. The platform features a visual, user-friendly Gantt chart that guides engineers on shop visits, part inventory, and scheduling, reducing downtime and maximizing aircraft availability.
According to IAG’s Chief AI Scientist Ben Dias, EOS exemplifies the group’s broader innovation strategy. It not only cuts costs and delays but enhances collaboration and data-driven planning. IAG says the system was welcomed by engineering teams, not resisted, because of its practical utility and ability to simplify complex workflows. The company also hinted at the possibility of offering EOS commercially to other airlines and expects to develop at least ten more AI solutions over the next 18 months.
IAG’s application of AI in maintenance reflects its commitment to operational excellence and sustainability. As one of the largest airline groups globally—with over 600 aircraft and 122 million passengers in 2024—IAG is using innovation to support its long-term strategy, including its goal of achieving net zero emissions by 2050. The EOS system, while currently focused on maintenance, could serve as a blueprint for future AI-powered tools in aviation.
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