GE Aerospace AI cuts engine inspection time by 50%, reduces maintenance delays by 5 days

GE Aerospace's AI innovation in Bengaluru addresses a critical bottleneck in aircraft maintenance: the time engines spend in repair facilities awaiting parts and inspection. Traditionally, MRO (Maintenance, Overhaul and Repair) facilities had to assess engine condition after arrival and then order parts, delaying the return of aircraft to service. By using AI to forecast maintenance needs based on how airlines are operating their fleets, GE has inverted that workflow—parts now arrive before the engine does, compressing turnaround by at least five days and freeing aircraft for revenue service sooner.

The Blade Inspection Tool represents a complementary advance: by automating the visual inspection of turbine blades and improving consistency, it halves the time technicians spend on one of the most labor-intensive and critical inspection tasks. For Indian carriers, which operate over 1,300 GE and CFM engines with thousands more on order, this efficiency gain translates directly to reduced fleet downtime and lower maintenance costs. The Bengaluru center's role as the hub for these technologies underscores India's position in the global aerospace supply chain and maintenance ecosystem.