RTX is expanding the use of artificial intelligence and data analytics across aircraft maintenance, with its global repair operations using digital tools to speed inspections, identify potential issues earlier and make shop visits more predictable. The effort spans Pratt & Whitney and Collins Aerospace, including AI-assisted borescope inspection on the V2500 engine and predictive-maintenance software that processes full-flight and maintenance data.
Pratt & Whitney’s acquisition of Aiir Innovations in mid-2026 brought AI-powered borescope software into its maintenance workflow, with pilots completed on the GTF and F135 engines and wider deployment planned. RTX says the tool has cut overall inspection time by more than 30%, including report generation from hours to minutes. Collins Aerospace’s Ascentia platform combines flight data, maintenance records and other signals to flag repair needs before cockpit alerts appear or technicians detect faults physically.
RTX also cites about 90% predictive accuracy for early detection of cooling and ventilation unit issues, while predictive alerts have helped avoid more than 200 hours of possible disruption on long-haul flights. The company links these applications to a broader strategy of connecting data from design, testing, manufacturing and service life into a single maintenance backbone.