What if every Copilot user had their own adoption coach, one that understood their work and could show them exactly where Copilot could make a difference? Traditional adoption programs rely on training sessions, generic use cases, and shared prompt libraries. They're useful starting points, but they can't answer the question every user eventually asks: "What can Copilot do for me?" In this session, you'll discover how a single declarative agent can help answer that question at scale. Grounded in Work IQ, the agent turns the context of each user's work into personalized Copilot use cases and practical recommendations, creating an individual playbook without having to build one manually for every person. And the approach doesn't stop with today's Copilot. As new capabilities arrive, the same agent pattern can help users understand how those innovations apply to their own roles and workflows. You'll learn how to:

• Build a Work IQ-grounded agent for personalized Copilot adoption
• Turn agent instructions into an effective AI adoption coach
• Generate role-relevant Copilot use cases at scale
• Create a repeatable approach for introducing new Copilot capabilities

You'll leave with a practical pattern for transforming Copilot enablement from one-size-fits-all training into personalized adoption at scale.