Innovation
Agentic AI in Automotive: From Connected-Vehicle Data to Autonomous Operations
Automotive is three industries in one estate: a manufacturer (OT-heavy plant operations), a technology company (connected-vehicle data and software), and a distribution network (dealers, suppliers, after-sales). Agentic AI applies to all three — and so does the governance burden, across a wider asset surface than almost any other sector.
Automotive is three industries in one estate: a manufacturer (OT-heavy plant operations), a technology company (connected-vehicle data and software), and a distribution network (dealers, suppliers, after-sales). Agentic AI applies to all three — and so does the governance burden, across a wider asset surface than almost any other sector.
The platform direction fits this directly: AI Control Tower now detects anything non-human — AI agents to connected devices — governing physical and smart devices the same way across operational and information technology. For automotive, "connected device" isn't an abstraction; it's the asset graph itself. Combined with supply-chain depth being built into the platform — Source-to-Pay with supplier insights and visibility, the cross-domain coordination automotive ops teams do manually becomes addressable. Ken YeungDiginomica
The governance reality automotive must confront: an agent here may touch plant OT, supplier commitments and connected-vehicle/customer data — three different risk regimes (operational safety, contractual, DPDP/data protection) in one workflow. Least-privilege scoping per agent role and the ability to halt an off-script agent in real time is the only way that's manageable; a single over-permissioned agent in automotive can create a safety, contractual and privacy exposure simultaneously. Servicenow
What automotive leaders should do: segment deployment by domain — start in IT/service and after-sales (contained, fast ROI), keep plant-OT and connected-vehicle agents under the strictest tier, and treat asset/CMDB accuracy across all three domains as the precondition, not a parallel project.
The realistic position: automotive has breadth of opportunity that few industries match — and the broadest blast radius if an agent is ungoverned. The winners will be the ones who refused to treat plant, software and supply chain as one undifferentiated AI rollout.
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