Copilot Studio is evolving from a chatbot builder into a powerful agent platform for automating real business processes. With its new architecture and generative orchestration capabilities, organizations can now build agents that reason, adapt, and take action with far greater autonomy. In this session, we will explore the latest Copilot Studio experience through a practical, end-to-end scenario. You'll see how workflows, skills, knowledge, and agent reasoning work together on the new unified canvas to automate complex tasks while maintaining control where it matters most. We will demonstrate how deterministic workflow steps and AI-powered agent capabilities can be combined to create reliable, scalable solutions. You'll also learn how Enhanced Task Completion enables agents to dynamically determine which tools, skills, and knowledge sources to use in order to achieve a desired outcome. A key focus of the session will be the reasoning loop, the process by which agents plan, execute, evaluate results, and adapt their next actions. Understanding this concept is essential for designing resilient agents that can handle changing conditions and unexpected outcomes. By the end of the session, you'll have a practical framework for deciding when to use traditional workflows, when to leverage agentic reasoning, and how to combine both approaches to deliver business value with Copilot Studio. Key Takeaways

• Understand the latest Copilot Studio architecture and agentic capabilities.
• Learn how to orchestrate business processes using the new unified canvas.
• See a live demonstration of workflows and Enhanced Task Completion in action.
• Discover how agents use skills, tools, and knowledge to complete tasks autonomously.
• Understand the reasoning loop and why it creates more resilient and adaptable solutions.
• Gain a practical design pattern for balancing deterministic workflows with agent autonomy.