Agentic Digital thread for self-healing non-conformities in aerospace product manufacturing lifecycle

Aircraft manufacturing involves a complex ecosystem where quality, traceability and compliance are paramount. Managing non-conformities both before and after manufacturing requires a digitally connected data framework that ensures seamless data flow, decision-making and corrective actions across different functions like sourcing, materials, engineering and production. The advent of agentic AI brings more autonomous solutions through drastically reduced human prompts. This paper presents a comprehensive Agentic Digital thread framework for managing pre and post manufacturing non-conformities, enabling real-time visibility and control from design to delivery. The Agentic digital thread transforms from being passive connectivity layer into living intelligence ecosystem that continuously learns, adapts, and improves in real time Pre-manufacturing nonconformity management focuses on early detection of issues through Agentic AI in sourcing, materials and design through integration of PLM, ERP, QMS and supplier systems. Post-manufacturing the system extends to managing concessions, enabling structured digital workflows for identifying, evaluating and approving deviations that arise during inspection or final assembly. By leveraging Agentic AI based anomaly detection and digital traceability, deviations are identified early and resolved with the help of past resolutions for similar problems based on inputs from AI and Gen AI driven inputs By closing the loop between design, production and quality assurance, this digital thread enhances traceability, reduces delays, rework and fosters continuous improvement across the value chain. The result is a more resilient, compliant and efficient aircraft manufacturing process aligned with the demands of modern aerospace product demands. This white paper introduces a holistic Digital thread framework designed to manage non-conformities across the entire manufacturing lifecycle.