Most global learning transformations fail not because of technology—but because they remain content‑centric. Courses are created, platforms are launched, and onboarding happens once, while adoption, relevance, and business impact remain inconsistent across markets.

At Nestlé, the world’s largest food company, we support more than 46,000 sales learners globally. Early on, we realized that scaling learning for this population required a shift from managing content to designing a digital learning ecosystem driven by business priorities, local activation, and continuous performance insight.

In this case-study session, I will share how we made that shift, launching a live global deployment built under real business constraints, timelines, and learner expectations. You’ll see how we designed an ecosystem that connects business‑led capability prioritization, AI‑enabled content development, structured communication and engagement packages, localization through local sales academies, and performance dashboards into one operating model. Rather than rolling out content, we focused on:

• Prioritizing the key business capabilities 
• Enabling faster content creation and localization using Generative AI
• Activating learning locally through sales academies while maintaining global coherence
• Measuring adoption and engagement to continuously refine the ecosystem

You will leave with a practical ecosystem blueprint you can adapt to your own organization, particularly if you support a large, distributed workforce where localization and business relevance are critical.

In this session, you will learn to:

• Understand the critical shift from content‑centric learning to a digital learning ecosystem
• Explore how to position generative AI within a learning ecosystem to support faster content creation and localization, with an emphasis on quality, governance, and practical constraints
• Recognize the role of local sales academies (or equivalent structures) in activating learning and balancing global consistency with local relevance
• Identify communication and engagement principles that help sustain learner adoption beyond initial launch, engagement, and overall ecosystem health

This session assumes familiarity with digital learning platforms and content development. No deep technical AI expertise is required. The focus is on operating models, prioritization, localization, adoption, and measurement—making the session accessible while still highly practical for experienced practitioners.