Summary. I explore how Copilot Studio serves as a powerful engine for building custom agents and integrating them with platforms like Business Central and model-driven apps. I demonstrate how to use tools, global variables, and generative AI features to provide context-aware responses and automate actions.

What the posts say

The Copilot in a model-driven app is actually a Copilot Studio agent.

“Q: So the Copilot panel in my app is a Copilot Studio agent?” — Adding a Custom Topic to the Copilot in a Model-Driven App

Copilot Studio can automatically generate a topic canvas from a description.

“Copilot Studio generated a topic canvas with trigger phrases and a message node containing the answer — no manual canvas editing needed.” — Adding a Custom Topic to the Copilot in a Model-Driven App

A tool is an action that the agent chooses to call based on its name and description.

“A: An action that the agent can choose to call.” — Copilot Studio Agent Tools

I used global variables and generative AI features to build the solution.

“I used the Global Variable and Generative AI features in Copilot studio.” — Customer Copilot Studio

The generative answers feature allows the Copilot to respond when no specific topic matches.

“A: It lets the Copilot answer with generated text when no Topic matches the question.” — Customer Copilot Studio

The Token Endpoint is the address the extension uses to reach the Copilot.

“A: The address that the Business Central extension uses to reach the published Copilot.” — Blog Copilot Studio

Microsoft Copilot Studio supports single sign-on to keep users signed in across pages.

“Microsoft Copilot Studio supports single sign-on (SSO).” — Configure Copilot single sign-on for Web

Power Automate flows can be initiated directly from the Business Central interface.

“Power Automate flows can be created from the Business Central user interface.” — Create action based on a flow