Challenge
Implementing a Software-Defined Factory (SDF) requires data-driven autonomous control and real-time monitoring across the production environment. Key challenges include integrating siloed systems, enabling non-technical field experts to interact with AI systems, and converting real-time edge data into actionable insights that support fast, effective decision-making.
Approach
An AI agent-based solution was developed to interpret unstructured, natural-language input from field personnel and convert it into precise operational commands. Multiple agents were deployed for tasks such as data collection, analysis, control, and monitoring, all orchestrated by a central leading agent. The system was designed with built-in verification and safety mechanisms at each stage to ensure reliability, accuracy, and safe execution.
Value Delivered
Key components of the Software-Defined Factory (SDF) were successfully implemented using existing technologies, while areas requiring further innovation were clearly identified. The integration of AI agents with legacy equipment validated the feasibility of a compound system that responds to unstructured field input with autonomous control and real-time monitoring—laying the groundwork for scalable, intelligent manufacturing.
