Model-driven Power Apps are a powerful way to build enterprise-grade applications with rich data models and user experiences. But as business processes become more complex, users need smarter, faster ways to interact with data. That’s where Copilot Agents come in — transforming how users engage with model-driven apps by introducing AI-powered assistance. 

What Are Copilot Agents? 

Copilot Agents are intelligent, task-oriented bots integrated into Power Platform. They use generative AI to understand natural language, automate workflows, and guide users through complex tasks. In model-driven apps, Copilot Agents act as virtual assistants that can: 

  • Answer questions about data 
  • Perform actions on behalf of users 
  • Recommend next steps 
  • Automate repetitive tasks 
  • Provide contextual help based on user intent 

Why Use Copilot Agents in Model-Driven Apps? 

Integrating Copilot Agents into your model-driven apps offers several benefits: 

  • Improved Productivity: Users spend less time navigating menus and more time getting work done. 
  • Enhanced User Experience: Natural language interaction makes apps more intuitive. 
  • Smarter Decision-Making: AI-driven insights help users make informed choices. 
  • Reduced Training Time: New users can rely on Copilot Agents to guide them through unfamiliar processes. 

Key Capabilities of Copilot Agents 

Here are some of the most impactful features you can leverage: 

1. Natural Language Queries 

Users can ask questions like: 

“Show me all open opportunities from last quarter.” 

Copilot interprets the query, fetches the relevant data, and displays it in a user-friendly format. 

2. Automated Actions 

Copilot can perform actions such as: 

  • Creating or updating records 
  • Sending emails 
  • Triggering workflows 

For example: 

“Create a new case for customer John Doe with high priority.” 

3. Context-Aware Recommendations 

Based on user activity and data context, Copilot can suggest: 

  • Next best actions 
  • Related records 
  • Helpful documentation 

4. Integration with Power Automate 

Copilot Agents can trigger flows built in Power Automate, enabling seamless automation across systems. 

How to Enable Copilot Agents in Model-Driven Apps 

To get started: 

Ensure your environment supports Copilot 

  1. Use a Dataverse-backed model-driven app 
  1. Enable AI features in Power Platform Admin Center 

Configure Copilot Agent 

  1. Go to Power Apps Studio 
  1. Navigate to Copilot Agent Builder 
  1. Define intents, actions, and responses 

Train and Test Your Agent 

  1. Use sample queries to test how well the agent understands user input 
  1. Refine intents and responses based on feedback 

Deploy and Monitor 

  1. Publish the agent to your app 
  1. Use analytics to monitor usage and improve performance 

Best Practices for Building Effective Copilot Agents 

  • Keep intents focused: Avoid overly broad or vague intents. 
  • Use clear language: Write responses that are easy to understand. 
  • Test thoroughly: Simulate real user scenarios to ensure accuracy. 
  • Leverage existing data models: Use relationships and business rules in Dataverse to enrich agent responses. 

Real-World Use Case: Sales Management 

Imagine a sales manager using a model-driven app to track opportunities. With Copilot Agents, they can: 

  • Ask: “What are my top 5 deals closing this month?” 
  • Get a list with links to each opportunity 
  • Say: “Update the status of the Acme deal to ‘Won’” 
  • Copilot updates the record and sends a confirmation 

This reduces clicks, improves accuracy, and saves time. 

Conclusion 

Copilot Agents are revolutionizing how users interact with model-driven apps. By combining the power of AI with the flexibility of Power Platform, you can build smarter, more responsive applications that truly empower your users. 

Whether you’re a developer, admin, or business user, now is the time to explore what Copilot Agents can do for your organization.