Agents and actions Kaynaz pinpoints four areas where generative AI will have the greatest impact in automotive.
In-vehicle experience is one, with AI increasingly enabling personalised, adaptive interactions that turn a vehicle into a living digital product.
Engineering and the product lifecycle is another:“ From requirements to design, simulation and validation, generative AI can dramatically compress cycle times and unlock large-scale knowledge reuse. This is a step change in how fast and how well products can be developed.”
Operations and maintenance, as well as commercial performance, round out Kaynaz’ s list. Across all four areas, she sees the same fundamental transition: from AI that answers questions to AI that takes action.
At Stellantis, that transition is already underway. The company has deployed an Agent Gateway, a standardised, secure infrastructure layer that allows AI agents to interact with enterprise platforms. A system called Metabot is also rolling out inside Microsoft Teams, bringing the Stellantis agent ecosystem into the workspace employees use daily.
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