Summary: See how Copilot's evolution from prompt-based content generation to independent agents unlocks new possibilities for enterprise automation. We'll break down the fundamental differences, showcase practical implementations, and help you determine which approach drives ROI.

Outcome: Clear understanding of when to use generative vs. agentic AI approaches

Takeaway: A decision framework for choosing the right Copilot capability for each use case

Key Discussion Points:

• Generative AI fundamentals: prompts, context, and content creation
• Agentic AI fundamentals: autonomous action and workflow execution
• Copilot's evolution: from chat assistant to independent agent
• Use case mapping: where generative AI excels vs. where agents win
• Practical implementation: building your first Copilot agent
• Integration patterns: connecting agents to business systems
• Governance considerations: controlling what agents can do
• ROI comparison: measuring value from each approach
• Common pitfalls and how to avoid them
• Roadmap: what's coming next in Copilot capabilities