The Indian Air Force’s Software Development Institute has successfully developed an artificial intelligence tool designed to predict engine failures in the AL-31FP engines of its Su-30MKI aircraft, significantly reducing inflight emergencies by 40%. By analyzing data from Flight Data Recorders, the system provides timely alerts on potential anomalies, enhancing operational safety and efficiency. This innovation also supports the IAF’s goal of maintaining a robust fleet amid supply chain challenges and high operational demands, ultimately allowing for better mission focus and reducing maintenance costs. The deployment of this AI-driven predictive maintenance tool marks a significant shift in the IAF’s approach to aircraft reliability, underpinning India’s broader push for technological advancement and self-reliance in defense capabilities.