Knowledge
Case studies
AI² case studies highlight practical Industrial AI implementations with clear context, measurable outcomes, and transferable lessons for engineering, manufacturing, and operations teams.
What we feature
Engineering copilots with traceability
How teams introduce LLM and agentic workflows into requirements, architecture, and verification without breaking compliance and release governance.
AI in manufacturing operations
Operational patterns for deploying AI in production environments where uptime, safety, and explainability are mandatory constraints.
Digital thread and data interoperability
Cross-system implementation patterns that connect PLM, MES, ERP, and analytics layers into a coherent AI-ready execution environment.
Contribute a case study
We continuously collect case studies from practitioners and offer opportunities to feature selected contributions across AI² channels. If you have a concrete implementation story with measurable outcomes and reusable lessons, we would be glad to review it.