For many airlines and MROs, maintenance processes remain weighed down by fragmented data, manual reviews, and reactive scheduling. Records compliance, work package planning, and inventory management often consume disproportionate resources, while the risk of human error can lead to costly delays or regulatory findings. At the same time, financial pressures and tighter operational windows demand greater accuracy, speed, and foresight than traditional methods can deliver.
This presentation will cover how AI is being deployed to address these challenges across the maintenance value chain. Drawing on ICF’s global expertise, the session will examine applications such as automated records review to reduce errors and processing time, predictive maintenance planning to optimize fleet availability, and workflow intelligence to enhance MRO productivity. By connecting data from multiple sources and applying machine learning, organizations can gain sharper visibility into component lifecycles, cost drivers, and operational risk—ultimately making maintenance both more reliable and more efficient.
You will get a clear view of where AI delivers real value today, beyond the hype. The session will highlight proven use cases, lessons learned from implementation, the practical steps required to integrate AI into existing M&E / MRO systems, actionable insights into how intelligent tools can support cost optimization, regulatory compliance, and sustainable performance in the evolving maintenance landscape.