AI Quality Use Case Forum 2025
Two Ways of Utilizing AI in Quality by Exolynk
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Summary
At the talk by Robert Schütte and Philippe Theis at the AI Quality Use Case Forum at SMP in Boetzingen, you learned how Artificial Intelligence can be applied in Quality Management Systems (QMS) through two complementary approaches demonstrated live on stage.
The speakers presented:
- AI via MCP (Model Context Protocol) – where engineers interact with a Chatbot LLM (e.g., ChatGPT) connected through MCP to recognize images and automatically generate reports based on the detected data.
- AI directly integrated into the QMS system – where an embedded LLM supports Root Cause Analysis (RCA) brainstorming using real data from recorded non-conformances.
The session showed how MCP enables more efficient quality management by providing:
• Direct data context: AI accesses relevant information directly from the QMS
• No copy-paste loop: Engineers stay in one workflow environment
• Controlled automation: Human approval for all AI actions
•Interoperability: Seamless integration with other systems and services
It also highlighted the key benefits of integrating LLMs directly into enterprise systems, such as context-aware reasoning, seamless interaction, and data governance by design.
Finally, the talk emphasized the importance of data security and compliance, including strict access control, logging and review of AI actions, human validation for sensitive steps, and secure hosting on-prem or in private clouds.
Here you’ll find the resources for the talk as well as the complete slide deck for download.
