Session

Stop Guessing: A Framework for Choosing Copilot Studio, M365 Copilot & Agents

The explosion of AI capabilities across the Microsoft ecosystem has created a new challenge for IT leaders and architects: decision paralysis. With Copilot Studio, M365 Copilot, custom agents, and emerging agentic AI options, how do you know which tool is right for which job?

In this session, you'll gain a proven decision framework that cuts through the confusion and helps you make confident investment choices. Whether you're evaluating your first AI project or scaling across the enterprise, this framework provides both quick triage for straightforward scenarios and deeper evaluation criteria for complex use cases.

You'll learn:

A tiered decision approach: 3-4 critical questions that drive 70% of decisions in under 5 minutes
Deeper evaluation criteria for complex scenarios: use case patterns, data requirements, user personas, integration needs, and governance considerations
How these three solutions work together as an ecosystem rather than competing options
Common anti-patterns and costly mistakes to avoid when selecting your AI approach
Real-world decision examples showing the framework in action

Walk away with a practical tool you can use immediately with your team to evaluate pending AI projects, prioritize your roadmap, and justify investment decisions to stakeholders. No more guessing which Copilot capability to use—just clear, strategic decisions that align technology choices with business outcomes.
Perfect for IT leadership, solution architects, and governance leads who need to move beyond experimentation and build a scalable, sustainable AI strategy.

Nathan Rose

Functional Architect - HSO | Microsoft MVP Business Applications

Auckland, New Zealand

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