“Copilot” can mean different things, and choosing the wrong tool (or rolling it out without a plan) is a fast path to confusion and poor adoption. In this session, you’ll learn a practical decision framework for selecting the right Copilot experience for the job: conversational help, in-app assistance, and extending Copilot with custom agents.

We’ll work through real-world scenarios and answer: Which Copilot should you use? What inputs does it need (context, permissions, data sources)? What does “good output” look like, and how do you validate it? We’ll also cover the basics of building and governing Copilot Agents — including how teams can define an agent scenario, draft conversation flows, and create feedback loops to improve results over time.

Attendees leave with a Copilot adoption playbook: use-case scoring, workflow mapping, and practical governance habits that keep Copilot helpful, safe, and worth the investment.

Key Takeaways

*A framework for “Which Copilot should I use?” scenario decisions
*How to design strong Copilot use cases and define “what good looks like”
*Fundamentals of extending Copilot with agents + practical starting exercises
*Governance habits: testing, feedback loops, and safe deployment patterns

Audience / Level
Developers, technical leads, product owners; intermediate (assumes basic familiarity with Copilot concepts; focuses on execution and adoption)