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Home » Microsoft Adds Multi-Model AI Features to Copilot, Expands Cowork Tool

Microsoft Adds Multi-Model AI Features to Copilot, Expands Cowork Tool

Joan Aimuengheuwa by Joan Aimuengheuwa
March 30, 2026
in DisruptiveTECH
Reading Time: 2 mins read
0
Microsoft Copilot multi-model AI

Microsoft Copilot

Microsoft has launched new multi-model AI features in its Copilot research assistant, allowing users to work with multiple AI models at the same time.

The company said on Monday that the update will let Copilot’s Researcher agent draw responses from both OpenAI’s GPT and Anthropic’s Claude models within a single workflow. Until now, it relied on one model for each task.

With the new “Critique” feature, one model handles the initial draft while another reviews and refines it before the final output is produced. 

Microsoft said this setup is designed to improve accuracy and reduce errors that can appear in AI-generated responses.

Microsoft is also adding a feature called “Model Council”, which lets users compare answers from different AI systems side by side. This gives a clearer view of where responses match or differ, and helps users decide which output to rely on.

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The company says the changes are aimed at improving speed, quality and overall productivity for users working on complex tasks.

At the same time, Microsoft is expanding access to its Copilot Cowork tool, which is still in early release under its Frontier programme. The tool is built for longer, multi-step tasks. Users can describe what they want done, and the system creates a plan, works through connected steps and shows progress along the way.

Copilot Cowork can also carry out routine work such as scheduling, preparing briefings and handling repeat tasks like monthly reviews. Microsoft said early users are already applying it to planning, document creation and preparation for executive meetings.

The company has been focused on strengthening its Copilot platform as competition grows from other AI tools, including Google’s Gemini and Anthropic’s Claude-based systems.

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