A few years ago, artificial intelligence began making its way into manufacturing through image-based data comparison. Not exclusively, but especially for quality control applications, neural networks have since been trained to detect deviations from target specifications by comparing a component's actual state with reference images. Today, generative AI based on large language models helps users solve typically well-defined problems step by step. In an iterative process, humans provide prompts and instructions until a satisfactory solution is reached. Agentic AI operates very differently. For complex problems, it autonomously selects the AI tools (agents) required and develops solutions... ...with minimal human intervention. Everyday chatbots such as ChatGPT already illustrate the transition toward agentic AI. Users see how their request is broken down into multiple steps, such as searching, analyzing, and summarizing. However, they do not see the logic by which the system selects and sequences the appropriate tools. Agentic AI is already demonstrating its strengths in software development, customer service, IT operations, knowledge management, and administrative business processes. It excels wherever complex tasks consist of multiple steps and require coordination across various systems. Customer Service: In customer service, agentic AI can autonomously process a large portion of customer requests. It can do more than answer questions; it can execute complete service workflows and make independent decisions within predefined rules. Software Development: Modern coding agents analyze requirements, write code, run tests, and iteratively identify and fix defects. Retail: In retail environments, well-orchestrated AI agents can support inventory management, demand forecasting, logistics, and product administration. These agents independently combine information from different systems, prepare operational decisions, and in some cases execute them. Orcha-3: Bringing Agentic AI into Industrial Manufacturing The Orcha-3 platform, developed at Fraunhofer IWU, transfers this approach to manufacturing engineering. Orcha-3 is designed to address questions that cannot easily be solved using