Agentic AI for PLM-Centric Automation: A Blueprint for Rapid Solution Design

Manufacturing enterprises today are dealing with increasing product complexity, variant proliferation, and rising compliance demands. Traditional PLM systems—built as systems of record—struggle to keep pace with the need for real-time alignment across engineering, manufacturing, and service functions. This white paper introduces a PLM-centric Agentic AI approach that transforms PLM into an intelligent system capable of continuously interpreting, orchestrating, and optimizing lifecycle processes.

Disconnected systems, manual workflows, and delayed change propagation often lead to configuration drift, rework, and traceability gaps, impacting productivity, cost, and compliance. By leveraging specialized AI agents, organizations can automate critical processes such as eBOM to mBOM to BOP transformation, engineering change management, and cross-system synchronization assuring consistent alignment across PLM, ERP, MES, and CPQ systems.

This paper outlines a practical blueprint for implementing PLM-centric Agentic AI architecture, enabling real-time digital thread continuity, improved lifecycle traceability, and enhanced engineering productivity.

Download the white paper to explore how organizations can achieve faster cycle times, reduced operational risks, and more resilient, connected manufacturing operations

Download the White Paper