Many decisions in industrial engineering are based on the experience of individual experts. This knowledge is valuable—but difficult to scale, hard to reproduce, and often undocumented. Agentic AI fundamentally changes this reality: It systematically harnesses experiential knowledge and supports engineers in complex planning and optimization tasks.
What are we showing at the Hannover Messe?
With the Digital Industrial Engineer, an Agentic AI assistance system, GEC demonstrates how knowledge is transformed into value:
++ Linking production data, documentation, and engineering knowledge
++ Preparing, evaluating, and explaining complex decisions
++ Analyzes variant diversity, quality requirements, and bottlenecks
++ Builds on the ONCITE database and thus operates consistently across the entire factory
Based on the ONCITE DPS industrial data platform, production data, documentation, and engineering knowledge are linked together. This creates a new form of collaboration between humans and AI—faster, more transparent, and scalable for the production of the future.
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