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Built to Fly: How Agents, AI and Digital Twins are Redefining Aviation Maintenance Intelligence
Rising MRO costs, aging fleets, supply chain disruption, and unplanned downtime are forcing airlines to rethink how technical operations support business resilience
From reactive workflows to autonomous action
Predictive AI identifies emerging defects early, helping teams prevent delays, AOG events, and costly emergency interventions.
AI-driven forecasts improve fleet allocation, heavy-check scheduling, and utilization across the operation.
Condition-based planning reduces emergency sourcing premiums, unplanned labor, and extended turnaround times.
Digital twins and AI agents transform technical insights into faster, business-aligned operational decisions.
HOW NTT DATA HELPS
Align operational priorities, maintenance intelligence, and business outcomes through scalable AI transformation programs.
Desing Intelligent workflows that predict anomalies, findings, NRC and resources; prioritize actions, and support real-time operational decisions.
Connect aircraft health data and monitoring with maintenance programs, planning & network planning to optimize ground times. From Time/Cycle scheduling to Dedicated 1 to 1 aircraft Condition planning.
Support platform evaluation and integration across different data environments, systems and fleet management products.
Build governance, operational readiness, and trusted AI capabilities designed for aviation-grade environments.
AI-driven predictive maintenance improved reliability and saved millions.
Predictive maintenance cut delays and prevented hundreds of aircraft outages.
AI-driven forecasting improves planning and minimizes costly operational disruption.
Inventory intelligence cuts emergency procurement costs and improves supply chain readiness
Explore the strategies driving resilient fleet performance
