Focus Area: Business IT and Analytics
Contact
Philip Hassell
Philip.R.Hassell@ey.com
703-581-4865
Ernst & Young (EY) is a global professional services organization that has evolved from its origins in accounting and assurance into a multidisciplinary firm delivering consulting, tax, strategy, and transaction services. Today, EY provides integrated capabilities across business transformation, technology, risk management, and human capital, enabling organizations to align strategy with execution. Its AI & Data and workforce advisory practices help clients link business objectives to measurable outcomes through enterprise data strategies, advanced analytics, and human-centered transformation approaches.
AI and Data Analytics to Improve Training, Workforce Readiness and Predictive Maintenance
Problem Statement:
ALC faces a compounding workload challenge: the same organization responsible for sustaining training, production operations, inventory decisions, and reliability outcomes must do so under significant operational pressure. ALC’s critical processes in technical training, production processing, inventory management, and data-driven logistics support, could be greatly enhanced by AI, machine learning, and AR/VR as priority modernization enablers. With supply chain risk and parts obsolescence remaining top concerns, ALC has an opportunity to apply advanced analytics for forecasting and operational visibility, AI/ML for predictive failure and supply risk detection, generative AI for rapid training-content development, and immersive AR/VR tools for scalable, realistic workforce training.
Technology Solution Statement:
EY is uniquely positioned to help ALC address these challenges through an integrated, data-driven transformation approach. EY brings deep experience in federal aviation sustainment, supply chain analytics, and mission support systems, combined with leading capabilities in advanced analytics, AI/ML, and digital engineering. EY can deploy predictive maintenance models and reliability analytics to identify emerging failure patterns and optimize maintenance scheduling; implement intelligent supply chain solutions that improve demand forecasting, inventory optimization, and vendor risk visibility; and deliver production analytics platforms that provide real-time insights into workload, bottlenecks, and throughput across maintenance and logistics operations.
Benefits Statement:
Implementing these capabilities enables the Coast Guard Aviation Logistics Center to transition from labor-intensive, siloed operations to an intelligent, integrated sustainment model that significantly enhances mission effectiveness. By leveraging predictive maintenance and advanced analytics, ALC can improve aircraft availability and reduce unplanned downtime, directly strengthening mission readiness. At the same time, AI-driven supply chain optimization improves demand forecasting and mitigates risks associated with long lifecycle assets and parts obsolescence, resulting in more reliable and cost-effective inventory management.
