Generic embedding models struggle with maintenance shorthand and asset tags. Here is how to chunk work orders, combine keyword and vector search, fine-tune, and measure retrieval.
Agentic AI can search CMMS history, sensor trends, procurement records, and operator notes to propose ranked causal hypotheses for engineers to test. Here is how the architecture works and how to pilot it safely.
Digital twins drift as sensors lose calibration, processes change, and operators make undocumented adjustments. Here is how to measure divergence, recalibrate on evidence, and budget for keeping a twin honest.
Adding AI agents multiplies the interactions you have to govern, not just the agents. Here are the coordination patterns, contracts, and safeguards that keep multi-agent systems stable in production.