title: "Cinq leçons de dirigeants qui construisent des organisations propulsées par l'IA"

Leaders building AI-powered organizations must prioritize creating solid data foundations to ensure models have access to high-quality, relevant information. A key strategic decision involves balancing the use of proprietary models with the flexibility of open-source alternatives, often using a router to select the best tool for each task. Successful implementation requires a portfolio approach to AI use cases, starting with high-value, low-complexity projects to build momentum and demonstrate ROI. Strong AI governance is crucial for managing risks and ensuring compliance, while exploring advanced automation through agentic workflows can unlock new levels of productivity.