Artificial intelligence is rapidly changing how aerospace engines are inspected, but industry experts believe the real competitive advantage will come from how manufacturers validate the decisions AI helps them make. That view follows RTX-owned Pratt & Whitney's announcement that it is expanding the use of AI-assisted borescope inspection technology across its global commercial and military engine maintenance operations. The software uses artificial intelligence to analyse inspection imagery, helping engineers identify potential defects more quickly while improving consistency across Maintenance, Repair and Overhaul (MRO) facilities.
For many across the aerospace industry, the development signals another important milestone in the digital transformation of aircraft maintenance. Yet Derby-based digital validation specialist AddQual believes the conversation now needs to move beyond simply identifying defects. Managing Director Ben Anderson says artificial intelligence is only one part of a much larger evolution taking place across aerospace manufacturing and MRO.
"Artificial intelligence has enormous potential to improve inspection efficiency, but AI alone does not create confidence," he said. "Every inspection decision still needs to be supported by evidence, traceability and repeatability. Aerospace manufacturers aren't simply asking whether a defect exists; they're asking whether they have sufficient confidence in that decision to support certification, maintenance planning and ultimately safe flight."
As aircraft become increasingly data-rich, every inspection now generates thousands of digital records, images, measurements and reports. The challenge for manufacturers is no longer collecting information, but organising it into evidence that engineers, customers and regulators can trust. That is where AddQual believes digital validation platforms are becoming increasingly important. Rather than replacing experienced inspectors, digital validation technologies provide a structured framework that combines inspection evidence, engineering knowledge and process data into a single, traceable record.
This allows organisations to make faster decisions while maintaining the rigorous standards expected within aerospace quality management systems. The approach also supports growing adoption of artificial intelligence by ensuring AI-assisted recommendations remain transparent, auditable and fully integrated into existing quality processes.
"AI should strengthen engineering judgement, not replace it," Anderson continued." The organisations that gain the greatest benefit will be those that combine intelligent inspection with intelligent validation. Confidence comes from understanding why a decision has been made, capturing the supporting evidence and making that information immediately available throughout the product lifecycle.
"The importance of digital validation extends well beyond maintenance. Manufacturers are increasingly seeking ways to reduce qualification times, accelerate engineering decisions and improve collaboration between production, quality and customer teams. As production rates continue to rise and aerospace programmes generate ever larger volumes of inspection data, organisations are looking for ways to transform information into actionable insight rather than additional administration. For AddQual, this represents the next stage of digital manufacturing.
"The future isn't about producing more inspection data," Anderson said. "It's about connecting inspection, validation and engineering knowledge so manufacturers can make faster, more informed decisions with complete confidence. That's where digital validation becomes a genuine competitive advantage."
As artificial intelligence continues its expansion across aerospace inspection, the companies that combine AI with robust digital validation, traceability and decision intelligence are likely to be those setting the pace for the industry's next generation of manufacturing and MRO performance.
Photo source: GE Aerospace
