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FAQ for Copilot chat in model-driven apps

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This FAQ describes the AI impact of Power Apps model-driven apps Copilot chat feature.

What is Copilot chat in model-driven apps?

Copilot chat for model-driven apps in Power Apps is a feature for app users to get insights about the data in their apps through conversation in natural language. Copilot chat helps app users boost their productivity through AI-powered insights and intuitive app navigation. This feature is available throughout the model-driven app.

What are the system’s capabilities?

It can answer questions about the configured tables in an app, and aids in navigation through queries such as "Take me to page name."

What is the system’s intended use?

As an AI assistant to end users, it provides answers to questions about the configured data in the app, and helps with app navigation.

How was Copilot chat in model-driven apps evaluated? What metrics are used to measure performance?

Copilot chat in model-driven apps underwent substantial testing before the feature was released in preview. If you encounter issues while using Copilot chat in model-driven apps, submit your feedback. Your feedback is used to improve Microsoft products and services. For more information, go to: Data, privacy, and security for Azure OpenAI Service

What are the limitations of Copilot chat in model-driven apps? How can users minimize the impact of the Copilot chat in model-driven apps limitations when using the system?

To use this capability your environment must be in the US region.

Copilot chat in model-driven apps is a preview feature. Preview features aren’t meant for production use and may have restricted functionality. These features are available before an official release so that customers can get early access and provide feedback.

Copilot chat is not supported with the Power Apps mobile app.

This capability may be subject to usage limits or capacity throttling.

What operational factors and settings allow for effective and responsible use of the system?

Follow these procedures to make the most of the feature:

  • Use everyday words to describe your question about the data:
    • "How many high priority tickets were created last month?"
    • "How many tickets were closed in July?"
  • Clearly identify which page you want to navigate to:
    • "Take me to page name, " such as "Take me to Accounts."

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