As businesses shift toward skill-based talent management, integrating AI and structured job architectures becomes a critical success factor. This presentation explores the implementation of a skill-based organization for 12,000 employees, leveraging Workday to enhance learning & development and career growth. Following successful pilot programs in 2024, the LEOG Group is executing a three-phase rollout to ensure scalability and compliance. The project focuses on enabling AI-driven skill inference on colleague profiles, individualized learning & development recommendations and creating transparency on internal growth opportunities. Key challenges include: 1. Data foundation – ensuring structured, accurate job data to optimize AI processing. 2. AI refinement – training AI to return relevant, business-critical skills without biases. 3.Technology limitations – navigating Workday’s constraints and exploring external integrations. By sharing real-world implementation experiences and challenges, this session will offer valuable insights into best practices, vendor selection, and overcoming AI-related obstacles in HR technology. In this session you will learn

• Key watchouts when embarking on AI driven skills projects.
• Working with Workday’s technological constraints.