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 Implementation Strategy

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.

  • The Agentic AI Engineer

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.

  • From Ideas to Real Impact

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!

Agenda

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45

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15

15

Registration

Arrival, welcome coffee, and first networking opportunity

15

15

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15

45

AI Implementation Strategies for Enterprise

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

15

45

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16

15

The Agentic AI Engineer

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

16

15

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16

45

From Ideas to Real Impact

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

16

45

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17

30

Q&A/Networking

How to kick-off the first AI project in your company

Connect with peers, industry leaders and AI specialists

Speakers

Sponsors and Partners

Organizer