Model-driven apps within the Microsoft Power Platform offer structured and efficient ways to manage business data. Now, with the integration of intelligent agents, these apps go beyond data handling, they become smarter, more responsive, and highly efficient in assisting users.
This blog explores the two main types of agents available in model-driven apps: autonomous agents and interactive agents. How they enhance productivity and automation, and how you can integrate them into your model-driven app.
What Are Agents in Model-Driven Apps?
Agents serve as intelligent assistants embedded in your apps. They are designed to support users by simplifying workflows, answering queries, and performing routine operations. Microsoft Power Platform provides two distinct categories:
1. Autonomous Agents
- Created using Microsoft Copilot Studio, these agents are built to operate with minimal user intervention.
- Though they execute tasks automatically, users remain in control and can supervise each action.
- They’re especially helpful in automating time-consuming, rule-based tasks.
Example: An agent that regularly compiles customer follow-up lists and schedules reminders, reducing manual tracking.
2. Interactive Agents
- These agents focus on communication and engagement, helping users by responding to natural language queries.
- They can be configured with custom topics and knowledge sources, enabling them to provide accurate, context-specific answers.
Example: A built-in assistant that answers queries about internal policies or guides users through multi-step processes in the app.
Adding an Agent to Your Model-Driven App...Read More>>
