AI Leadership Program for Executives

SNOP Türkiye’s İzmit facility operated with a multilayered production structure covering tooling, BIW assembly, quality, maintenance, logistics and administrative processes.

The need was to address AI as a shared competency across management levels. The general manager’s agenda was not the same as that of shop-floor supervisors. The program was designed as a competency development structure that accounted for these different levels of responsibility.

Generative AI was spreading rapidly. The facility wanted to establish this technology not merely as a tool but as a shared competency across all management layers.

How can AI become part of production management's decision-making and governance agenda?

In the six-day program with the general manager and department managers, departmental pain points were mapped. AI opportunities in quality, maintenance, tooling, logistics, HR and finance were made visible in a single matrix.

On the final day, real SNOP cases were selected. Prompts and simple agent workflows were developed for these cases, and the results were presented to management.

The English-language program delivered by Prof. Dr. C. Ruhi Kaykayoğlu and Y. Bora Kaykayoğlu introduced 20 different generative AI tools. Sample automation scenarios were also explored using Agent Builder nodes.

Managers began to approach AI not as a choice of tool but as a leadership issue to be managed alongside security, data privacy and corporate rules.

A corporate prompt style guide, the SNOP prompt library, an AI opportunity matrix and agent workflows developed for real cases.

AI adoption is not a tool decision. It is about the rules and language managers establish together.