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Enterprise

Agentic AI in Manufacturing: Autonomous Operations Without Losing Control of the Plant

Manufacturing has the strongest agentic AI business case and the lowest tolerance for an agent getting it wrong. A misrouted ticket is an inconvenience. A misjudged action against a production line, a supplier commitment, or an OT system is a P&L event.

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Enterprise

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Manufacturing has the strongest agentic AI business case and the lowest tolerance for an agent getting it wrong. A misrouted ticket is an inconvenience. A misjudged action against a production line, a supplier commitment, or an OT system is a P&L event.

The opportunity is real: autonomous handling of maintenance workflows, supplier coordination, quality exceptions and field dispatch. ServiceNow's pitch is AI specialists assigned to roles, with business context and permissions, handling complex workflows end-to-end — exactly the repetitive, cross-system coordination that drains manufacturing ops teams. ServiceNow

But manufacturing spans IT and OT, and that's the governance line most programs miss. ServiceNow's expanded AI Control Tower now detects anything non-human — from AI agents to connected devices — governing physical and smart devices the same way, spanning operational and information technology. That matters because an agent acting on the plant floor touches assets, not just records, and supply-chain depth is being built directly into the platform — ServiceNow is integrating FedEx Dataworks into Source-to-Pay with supplier insights and visibility. Ken YeungDiginomica

What manufacturing leaders should do: start agentic deployment in IT/service workflows where blast radius is contained, not on production-critical OT. Inventory every agent and the assets it can reach before go-live — your CMDB and asset intelligence quality directly determines whether agent governance holds. And insist on real-time containment: in a plant environment, "stop the agent" cannot mean "file a ticket." Ken Yeung

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The honest read: the productivity case is the easy part. The discipline of not letting an agent touch production-critical systems before it's discoverable, scoped and reversible is the part that separates a competitive advantage from a downtime incident.

[CTA: Get a manufacturing IT/OT agentic-AI readiness assessment.]

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