THE AI INTERVIEW

year Stellantis was formed following the merger of Fiat Chrysler Automobiles( FCA) and the PSA Group

At Stellantis, the AI strategy is built around a distributed operating model with three layers. First, translating leadership priorities into a single execution framework with clear decision-making processes. Second, embedding AI and Data Business Hubs directly into functions, giving them ownership of the full chain from idea to adoption. Third, providing global platforms and shared talent pools to industrialise delivery rather than simply prototype it.

In practice, AI is applied across Stellantis’ full value chain: conversion and retention improvements in sales, warranty and quality cost reduction, logistics efficiency, manufacturing uptime and faster engineering cycles. Use cases range from dealer and field enablement tools to logistics optimisation and earlier detection of quality defects.

Choosing where AI goes first With a global operation of Stellantis’ scale, prioritisation is everything.

Kaynaz uses a value framework with several non-negotiable criteria. Business ownership comes first: every use case must be tied to a clear outcome and have a committed owner in the relevant function.

“ We actively look for transformational, cross-functional use cases,” she reveals.“ The strongest AI initiatives are those that cut across silos – engineering, manufacturing, supply chain, commercial, finance – and directly support the strategic direction set by our CEO and executive committee.”

22 June 2026