Microsoft Tests Autonomous AI Agents for Copilot — Aims for 24/7 Task Execution
The company is experimenting with 'OpenClaw-like' bots that could allow its Microsoft 365 Copilot to operate autonomously around the clock. This isn't just a new feature, but a strategic push toward a more active and persistent form of AI assistance.

Key Takeaways
- Microsoft is testing autonomous AI agents for its Copilot assistant, according to reports confirmed by a company executive.
- The goal is to enable Microsoft 365 Copilot to “run autonomously around the clock” to complete tasks for users.
- This effort follows previous internal Microsoft agent projects, including initiatives named Cowork and Copilot Tasks.
- The move signals a broader industry shift from passive AI assistants to active, autonomous agents that can execute complex workflows.
Microsoft is testing autonomous AI agents for its Copilot assistant, a move intended to let the software run continuously and complete tasks on a user's behalf. According to a report from The Information, first highlighted by The Verge, the company is exploring how to integrate 'OpenClaw-style' features into Microsoft 365 Copilot, effectively turning the assistant into an active digital employee.
The ambition is clear: transform Copilot from a tool that responds to prompts into an agent that operates with persistence. Omar Shahine, Microsoft's corporate vice president, confirmed the company is looking into these capabilities. The objective, as The Verge reports, is to have the system “run autonomously around the clock,” managing workflows and executing instructions without constant human intervention.
From Passive Assistant to Active Agent
The current generation of AI assistants, including the existing Copilot, largely functions in a passive, responsive mode. They summarize documents, draft emails, or generate code when prompted. The model being tested represents a fundamental shift toward agentive AI. Instead of waiting for a command, an autonomous agent could be tasked with a high-level goal—like monitoring inventory data and automatically placing a purchase order when stock falls below a certain threshold—and then executing the necessary steps across multiple applications.
This is the core idea behind 'OpenClaw-like' systems: creating AI that can reason, plan, and act to achieve objectives. For Microsoft, integrating this into the fabric of its 365 ecosystem would be a powerful demonstration of platform strength. It moves the battleground from whose large language model is better at answering trivia to whose agent can more reliably manage a user's digital life and work.
A Pattern of Agentive Ambition
This is not Microsoft's first exploration of AI agents. As TechCrunch reports, the company has previously developed other agents designed to complete tasks, including projects known as Cowork and Copilot Tasks. The consensus between reports indicates that while the latest 'OpenClaw' test is new, it sits within a broader, persistent strategy at Microsoft to crack the code on autonomous AI.
Together, these reports point to a deliberate, multi-pronged effort to build the next layer of computing. The pattern indicates Microsoft views agents not as a single product but as a foundational capability. The challenge, as with all such systems, lies in reliability and security. Granting an AI agent autonomous, 24/7 access to corporate data and applications requires a level of trust that no company has yet fully earned. Microsoft's repeated attempts show it understands the scale of the prize, even if a consumer-ready version remains on the horizon.
SignalEdge Insight
- What this means: Microsoft is escalating the AI arms race from passive chatbots to active, autonomous agents that can execute multi-step tasks without supervision.
- Who benefits: Businesses seeking to automate complex office workflows and reduce manual data entry and task management across the Microsoft 365 ecosystem.
- Who loses: Standalone automation and RPA (Robotic Process Automation) software vendors, as Microsoft builds these capabilities directly into its core platform.
- What to watch: The first public demo or beta release. Proving an agent can reliably perform complex tasks without causing errors will be the critical test.
Sources & References
Stay ahead of the curve
Get the most important stories in tech, business, and finance delivered to your inbox every morning.


