Aerospace and defense organizations are adopting AI and agentic AI to transform quality and visual inspection, replacing manual, human-dependent processes that are slow, inconsistent, and hard to scale. Using computer vision, deep learning, and intelligent agents, AI systems can detect defects such as cracks, corrosion, and surface damage with greater accuracy and consistency while reducing inspection cycle times and costs. These solutions enable automated or drone-based inspections, digital traceability, integration with MES/PLM/MRO systems, and continuous learning through human-in-the-loop feedback. Benefits include up to 80% faster inspections, higher detection accuracy, reduced rework and scrap, improved compliance, and scalable, audit-ready quality management. Successful adoption requires pilots, validation, governance, and strong change management to build trust in safety-critical environments.

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