Aerospace and Defense organizations operate in an environment where quality, safety and compliance are non‑negotiable. Traditional visual inspection methods, largely manual and experience‑driven, are increasingly challenged by growing production complexity, tighter tolerances and higher volumes of inspection data.

This whitepaper explores how AI‑driven visual inspection is transforming quality assurance across aerospace and defense manufacturing and maintenance operations. It outlines how computer vision, machine learning and advanced analytics can detect defects with greater accuracy, consistency and speed, while reducing human dependency and inspection cycle times. It examines how agentic architectures capable of learning, adapting, reasoning and orchestrating sub-tasks, offer the possibility of fundamentally transforming quality inspection in A&D.

The paper also highlights key use cases across production and MRO, addresses integration with existing systems and discusses critical considerations such as data readiness, scalability and regulatory compliance. Together, these insights demonstrate how AI‑powered visual inspection can enhance operational efficiency, improve product quality and support safer, more resilient aerospace and defense operations.

Download the full whitepaper to explore the technology, architecture and real‑world impact in detail.