Generative AI and Agentic Architecture in Engineering and Manufacturing

Abstract The integration of Generative AI (GenAI) and Agentic Architecture offers potential for scalability, automation, and improved decision-making in engineering and manufacturing. These technologies contribute to efficiency and process optimization but face challenges such as data fragmentation and interoperability. This paper examines the role of Agentic Architecture in addressing these issues, presenting scalable AI solutions, practical use cases, and strategic considerations for sustainable AI-driven innovation in industrial applications.