12 May, 2025

How to create an Autonomous Agent in Copilot Studio

Posted on 12 May, 2025 by Mihir Khot, Posted in Copilot Studio Power Platform

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What Are Autonomous Agents in Copilot Studio?

Autonomous agents are AI-driven entities that operate independently within Copilot Studio. They go beyond simple scripted responses by utilizing reasoning, decision-making, and dynamic task execution. Unlike traditional chatbots, which rely on predefined logic, autonomous agents can:

• Analyze user inputs and system data.

• Make contextual decisions without human intervention.

• Execute multi-step actions across integrated applications.

• Continuously learn and adapt based on interactions.

Key Capabilities of Autonomous Agents

1. Multi-Turn Conversations & Decision Making

Autonomous agents in Copilot Studio can handle complex, multi-turn conversations where they assess context, process user queries, and decide the best course of action dynamically.

2. Integration with Business Applications

These agents can interact with external data sources like Dataverse, SharePoint, Dynamics 365, Power Automate, and third-party APIs to retrieve, process, and update data automatically.

3. Self-Learning & Adaptive Responses

With AI and Machine Learning (ML) capabilities, autonomous agents can refine their responses and execution paths based on user feedback and interaction history.

4. Automated Task Execution

They can perform backend actions, such as processing service requests, updating records, or triggering workflows in other Microsoft services like Power Automate, Power Apps, and Azure Logic Apps.

5. Generative AI-Powered Interactions

Leveraging Generative AI, these agents can create responses, summarize information, and assist with knowledge retrieval in real-time.

Steps to implement Autonomous Agents in Copilot Studio

Step 1 : Go to https://copilotstudio.microsoft.com/. And then click on New Agent

Step 2 : Click on Skip to Configure and then Give a name to the Agent, Add Icon if there’s any, then give specific description and the instructions.

Step 3 : Then you come across your created agent.

Step 4 : Then you enable the orchestration and also enable this generative AI from settings

Step 5 : Then we add a knowledge source. So for that add a file, you can add any public website, Sharepoint or any external sources.

Step 6 : Here, we are adding an external source file.

Step 7 : In this way, our knowledge source is added.

Step 8 : Now we add a specific action to perform.

Step 9 : Here we choose a action named "Send an Email".

Change the User authentication type to Copilot Author authentication and click on Next.

Step 10 : Then give the name and display name of the action and also the description.

Step 11 : Choose the inputs and the outputs for the action.

Step 12 : Review your action item and click on finish.

Step 13 : Now we will create a trigger.

Here, we create a trigger named "When a new email arrives".

Step 14 : Now we will test the autonomous agent that we have created.

In this way, email is received.

Step 15 : Now we test the trigger which is created.

Step 16 : Testing the automated process

Step 17 : Once tested, Publish the agent you have created.

In this way, you can create an autonomous agent in Copilot Studio.