AI Open Day: From Tools to Agentic Engineering Systems
Manufacturing companies face constant pressure to improve efficiency, reduce costs, and stay competitive. AI promises impact, but most factories struggle to translate it into specific actions or even real operational value.
KIT/GAMI and ALPENX show how German manufacturers identify high value use cases, deploy AI step by step, and create measurable results with customized AI solutions embedded directly into their operations.
Built for real factory environments: The system combines secure on-premise AI and local agentic RAG architectures to turn blue- and white-collar daily business operations into automated routines.
Industrial Mind, founded by three former Tesla engineers, introduces the Agentic AI Engineer. It works across the full lifecycle and understands customer requirements, supports design reviews, generates process plans, monitors production lines, performs root cause analysis, and prepares structured quality responses. End to end. Like a human engineer, but scalable.
Demonstration:
AI in manufacturing is shifting from isolated pilots and cloud experiments to structured, on-premise deployments embedded directly into operations. Companies are moving beyond generic chatbots toward domain-specific systems that integrate engineering knowledge, production data, and internal documentation.
Discover the key success factors for turning AI concepts into scalable, operational systems that deliver real business impact.
Most factories deploy isolated AI tools. One for monitoring. One for analysis. One for reporting. None of them think across the entire process. The Agentic AI Engineer changes that. It operates like a real manufacturing engineer. It understands customer requirements. Reviews designs. Generates process plans. Monitors production. Detects deviations. Performs root cause analysis. Prepares structured quality responses. End to end. Across systems. Across data silos.
See how real impact can be identified by starting with employees' daily challenges, operational bottlenecks, and cross-departmental needs instead of abstract innovation goals. Learn how to translate individual pain points into structured use cases aligned with company strategy and measurable business value.
Understand the principles for connecting employee input, management priorities, and operational data to ensure that every initiative developed during the workshop is relevant, practical, and impact-driven.
Take the Next Step
Give your organization the knowledge and tools to leverage AI effectively. Our tailored AI Strategy and Ideation Workshops identify and prioritize your most valuable use cases, ensuring a focused and impactful path to implementation.
Join us to transform your manufacturing future with AI!
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Arrival, welcome coffee, and first networking opportunity
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45
Build a structured AI roadmap aligned with strategic priorities and operational KPIs
Establish data governance, security, and compliance as core design principles
Define ownership models and cross-functional collaboration frameworks for sustainable rollout
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15
Understand how AI agents collaborate across design, planning, monitoring, and quality
See how continuous feedback loops enable adaptive learning within production
Learn how domain-specific AI agents outperform generic automation tools in industrial contexts
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45
Move from workshop concepts to validated, business-ready pilot projects
Quantify impact and potential quickly
Develop a scalable model from single use case to enterprise-wide adoption
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