Agentic AI offers huge value for addressing the skilled labor shortage across manufacturing operations and supply chain.
@fogoros
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MCP allows defining specific tools for each agent
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John Harrington of HighByte told me that with MCP you can discreetly define which tools are available for each agent. Partner content with @HighbyteInc. A quality agent and a predictive maintenance agent can each get only the tools relevant to them. #highbyte_iiot pic.twitter.com/uIhBpS5fag
— Lucian Fogoros (@fogoros) 3 juin 2026John Harrington of HighByte told me that with MCP you can discreetly define which tools are available for each agent. Partner content with @HighbyteInc
. A quality agent and a predictive maintenance agent can each get only the tools relevant to them. #highbyte_iiot -
Edge machine learning adjusts production speed based on real-time quality
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Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory pic.twitter.com/QQqQl0Q6il
— Lucian Fogoros (@fogoros) 2 juin 2026Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory
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Data bottleneck hinders manufacturing AI, not the model
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When a manufacturing AI project underdelivers, the bottleneck is rarely the model. It is usually the data the model never had.
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Agents initiate purchase orders for out-of-stock parts with organizational approval.
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If parts aren't in stock, the agent can initiate purchase orders where organizations approve that autonomy level.
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AI-ready factories: AI as an accelerator, not a disruption
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AI-ready factories experience AI as an accelerator rather than a disruption.
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AI agents process manufacturing data at scale, speed, and compliance.
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Agents process manufacturing data at scale and speed no human could match while maintaining regulatory compliance.
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From Apprenticeship to Agentic Orchestration: Digital Workers as the Primary Engine
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This represents a transition from slow apprenticeship to agentic orchestration where digital workers become the primary engine.
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Digital Workers: Contextual AI Orchestration, Not Basic Automation
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Digital workers contextually understand specific operating procedures and regulatory guidance, unlike basic automation of the past. The human role shifts from data bridge to orchestrator of AI agent fleets. Partner content with Adlib. #adlib_iiot pic.twitter.com/7SQom7t9YS
— Lucian Fogoros (@fogoros) 31 mai 2026Digital workers contextually understand specific operating procedures and regulatory guidance, unlike basic automation of the past. The human role shifts from data bridge to orchestrator of AI agent fleets. Partner content with Adlib. #adlib_iiot
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GenAI-Assisted Operations and Maintenance at AUTOMATE 2026
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Siemens Factory Twin synchronizes with real operations through Edge, enhanced with Senseye for AI-driven asset intelligence. BorgWarner and Siemens present GenAI-assisted operations and maintenance at AUTOMATE 2026, Monday June 22. Partner content with @Siemens
. #sie_us