Microsoft Tests OpenClaw-Like Autonomous AI Agent for 365 Copilot Enterprise Use

Microsoft is testing ways to integrate OpenClaw-like features into its Microsoft 365 Copilot tool.

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National Today

Omar Shahine confirmed the company is exploring the potential of technologies like OpenClaw in an enterprise context.

National Today

The new agent would be always working, able to take actions at any time and complete multistep tasks over long periods.

Microsoft plans to show off this new Claw at its Build conference in June.

OpenClaw surged in popularity earlier this year as an open-source framework that lets AI agents run locally.

Microsoft is creating role-specific OpenClaw-like agents tailored to particular job functions.

Each agent is designed with limited permissions to keep them focused on their designated domain.

Sherwood News

The company is confident it can implement safer versions of the tool.

The new agent would run continuously and monitor a user's Outlook inbox and calendar.

The goal is to make 365 services more helpful while keeping information safe.

OpenClaw's open-source nature raised serious security concerns.

“Report: Microsoft looks to remake Copilot in the image of OpenClaw Microsoft is feeling the heat from all corners of the tech world as it tries to infuse its productivity apps with useful AI tools”

Sherwood News

Government agencies in China received notices warning against installing OpenClaw software.

Microsoft CEO Satya Nadella has made revamping 365 Copilot a top priority.

Early adopters praised chat capabilities but complained it required too much hand-holding.

Security teams are raising eyebrows given the massive attack surface autonomous agents represent.

Microsoft's move positions it to compete directly with emerging autonomous agent platforms.

Google has been pushing its own Workspace automation through Gemini integration.

The Tech Buzz

Startups like Adept and Dust have raised millions building specialized agent platforms.

The developer community is split on Microsoft's approach.

The real test comes when these agents start making mistakes.