"Something new is now taking shape on the factory floors. AI agents, independent, context-aware and task-oriented, are functioning as a third layer of intelligence. Not a replacement for what came before, but a layer that complements and elevates it. These agents are not confined to a single screen or workflow. They move between systems, interpret context via semantic data, and solve problems across functional boundaries."
"They do not just respond to commands; they interpret goals from data and instructions. Once briefed, they can navigate data, weigh outcomes, and coordinate actions. The result is not just a smarter tool but a more adaptive factory. What sets this development apart is the shift from passively reporting problems to actively resolving them. Agents are not there simply to log information or raise alerts."
Modern manufacturing prioritises structure, standardisation, and predictability, with automation handling repetitive tasks and MES platforms managing workflows. These systems often remain inflexible, following rules rather than reasoning and capturing process without purpose. A third intelligence layer emerges in the form of AI agents that are independent, context-aware, and task-oriented. These agents traverse systems, interpret semantic data, and solve cross-functional problems. They interpret goals from data, navigate and weigh outcomes, and coordinate actions to produce more adaptive operations. The agents act proactively to resolve disruptions before escalation and require domain-specific understanding of engineering terminology and operational constraints.
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