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Explore how agentic AI workforces can coordinate decisions across supply chain, plant operations, and aftermarket service with defined roles, permissions, human oversight, and accountable workflows.
Agentic AI is moving the supply-chain conversation beyond individual copilots and isolated automation. The more consequential question is how multiple agents should operate across supplier risk, plant operations, and aftermarket service without recreating the same functional silos that already slow enterprise decisions.
The DataRobot and Supply Chain Now on-demand webinar, $2.5B in 72 Hours: What Agentic AI Looks Like When It Actually Works, presents examples across these domains and describes a tariff scenario involving $2.5 billion in revenue risk addressed in 72 hours rather than weeks, with human sign-off retained throughout the workflow.[1]
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