Discover how Agentic AI for Process DNA: Contextualizing Every Flow, Fault, and Fix. Discover how to reimagine your operations with a plant graph that thinks, reasons, and explains — like an engineer.
In today’s complex industrial environments, data alone is not enough. True process intelligence demands context, and Agentic AI is the missing link.
This webinar introduces how organizations can build a Digital Process DNA using a plant-wide knowledge graph, enriched with engineering, SAP, sensor, and document context. Layered with Agentic AI, this enables autonomous traceability, root cause investigation, and real-time decision support.
We’ll showcase how AI agents trained on this context can trace flows, faults, and fixes across time, teams, and tools — without manual stitching.
Key Takeaways:
- What is Process DNA, and how it transform traceability
- How to build a contextualized knowledge graph from sensors, assets, events, and documents
- How Agentic AI agents traverse the plant graph to explain, diagnose, and act
- Real-world use cases: emissions events, equipment downtime, compliance reporting
- A look into the future: GenAI and self-healing operations powered by process-aware agents
Agenda:
Topic
- Welcome & Industry Context
- Building Process DNA: Architecture & Contextualization
- Enabling Agentic AI: From Graph to Intelligent Agents
- Real-World Use Cases & Demo
- Q&A and Next Steps
