Computer Use Agent in Copilot Studio
In this episode, we explore one of the most exciting new preview features in Microsoft Copilot Studio: the Computer Use Agent. This AI-powered tool enables your agent to interact with websites and desktop applications using natural language instructions — no manual step recording or complex RPA flows required.📌 WHAT YOU'LL LEARN:
• What Computer Use Agent is and how it compares to RPA
• How the Perception → Reasoning → Action loop works
• Key capabilities: web navigation, form filling, data extraction, multi-step workflows
• Step-by-step live demo: automated inventory data entry via a web form
• How to configure the Computer Use tool in Copilot Studio
• Choosing between the OpenAI CUA model and Claude Sonnet 4.5
• Hosted browser vs. Azure Cloud PC vs. custom infrastructure options
• Tips for writing precise natural language instructions
• Current limitations and honest review from real testing
⚙️ AVAILABILITY:
Currently in Preview — available for US tenancy only. Enable early/preview features in your Copilot Studio environment to access it.
⏱️ CHAPTERS:
0:00 Introduction
0:27 What is Computer Use Agent?
0:59 How It Compares to RPA
1:30 Use Case Examples
2:15 Perception, Reasoning & Action Loop
3:01 Key Capabilities Overview
3:26 Demo Overview – Inventory Data Entry
4:13 Setting Up a New Agent in Copilot Studio
5:19 Adding the Computer Use Tool
6:53 Writing Natural Language Instructions
11:12 Choosing the AI Model
12:30 Saving & Testing the Agent
13:40 Agent Navigates Website Automatically
14:33 Self-Correction During Data Entry
17:46 Troubleshooting & Refining Instructions
19:19 Successful Submissions!
20:01 Honest Review & Limitations
20:15 What's Coming Next
🧠 Key Takeaways
• Computer Use Agent enables AI to control web and desktop apps
• Works using virtual mouse clicks and keyboard inputs
• Operates in three stages: Perception, Reasoning, Action
• No step recording required like traditional RPA
• Supports multi-step workflows and form automation
• Available only in US tenant during preview
• Instruction clarity directly impacts performance
• Supports hosted browser and custom machine environments
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