M365 Copilot Cowork and Microsoft Scout Comparison

Are trying to wrap your head around what are the differences between M365 Cowork and Microsoft Scout?  Here is a nice table explaining the difference between them.

	M365 Copilot Cowork	Microsoft Scout
Primary purpose	Get a specific piece of work done after you ask it	Continuously keep work moving without being asked
Interaction model	User-driven ("Go do this task")	Proactive / always-on ("Watch for things that need attention")
Best for	Complex, multi-step projects and workflows	Ongoing coordination, monitoring, triage, and follow-up
Cadence	Minutes to hours	Continuous
Control model	User remains in the driver's seat with checkpoints and approvals	More autonomous, acting proactively within guardrails
Data access	M365 and connected enterprise systems	M365, desktop, browser, local files, and tools
Underlying AI / Architecture	Copilot Cowork runs on Anthropic models, including Opus 4.8 and Sonnet 4.6. In Frontier, customers can use GPT 5.5, with Cowork 1 coming soon	OpenClaw-based Autopilot. Microsoft's first Autopilot agent, with Work IQ used to build context, memory, priorities, and work patterns over time.
Examples	Create a project launch plan, prepare an executive briefing, analyze data, coordinate work across apps	Detect stalled decisions, manage calendar conflicts, prepare meeting materials, monitor deadlines and risks

Microsoft Scout Preview

Microsoft Scout introduces a new category of AI agents called Autopilots, which represent a shift from AI that simply responds to requests toward AI that can continuously help move work forward on a user's behalf. Unlike traditional copilots that wait for a prompt, Autopilots remain active in the background, maintain awareness of a user's priorities, and can take actions across connected systems without requiring constant intervention. Microsoft Scout is the first Autopilot in Microsoft 365, designed to work across Teams, Outlook, OneDrive, SharePoint, calendars, email, contacts, and other work resources while operating under organizational controls and user-defined permissions.

For individual users, Scout is intended to reduce the "work around the work" that consumes much of the day. Rather than simply answering questions, Scout can proactively coordinate meetings, identify upcoming deadlines, reserve focus time on calendars, prepare meeting materials, surface stalled decisions, and help ensure commitments do not fall through the cracks. The goal is to reduce the time spent on administrative coordination, follow-up activities, and context switching across multiple tools. Over time, Scout uses Microsoft's Work IQ intelligence layer to build a deeper understanding of how a user works, which projects are important, and what actions are most likely needed next, allowing it to become increasingly helpful and personalized.

Organizations gain value because Scout extends beyond simple productivity assistance and becomes a mechanism for helping work continue even when employees are focused elsewhere. By automating coordination, follow-ups, deliverable tracking, and other repetitive processes, Scout can help reduce delays, improve responsiveness, and increase consistency across teams. Scout is can keep work moving continuously across files, meetings, messages, and business workflows while maintaining visibility and user oversight. This has the potential to reduce organizational friction, improve execution speed, and allow employees to spend more time on strategic activities rather than manual coordination and administrative effort.

Security and governance are central to the Scout design. Microsoft states that Autopilots operate using their own identity while remaining constrained by the permissions, policies, and governance controls established by the organization. Scout only accesses data and services users are already authorized to access and works within existing Microsoft 365 identity, authentication, and permission models. Sensitive actions can require user approval before execution, ensuring that users remain in control of important decisions. Microsoft also emphasizes enterprise-grade security controls, tenant isolation, auditability, policy enforcement, and integration with existing Microsoft 365 security and compliance investments. As a result, Scout does not create a separate security model; it extends the identity, permissions, and governance framework organizations already use in Microsoft 365.

Microsoft Scout is available in Preview through the Frontier Program.

Reference: https://www.microsoft.com/en-us/microsoft-365/blog/2026/06/02/introducing-microsoft-scout-your-always-on-personal-agent/

New Windows 365 Announcements

This article had several new announcements about Windows 365.

Windows 365 Becomes Microsoft's Primary Cloud Development Platform

• Microsoft positions Windows 365 as the forward-looking platform for developer environments, with Microsoft Dev Box moving into maintenance mode.
• New Windows 11 Developer Configuration Images provide ready-to-code Cloud PCs with common developer tools preinstalled.

Major Expansion of Windows 365 Compute Options

• New 32-vCPU Cloud PCs are now available for high-performance workloads such as software development, AI/ML, simulations, and data modeling.
• New GPU Select Cloud PCs expand the GPU-enabled portfolio, giving developers additional graphics and AI compute options.

Windows 365 for Agents Reaches General Availability

• Windows 365 for Agents is now generally available.
• AI agents can run inside dedicated, managed Cloud PCs and interact directly with applications, browsers, and legacy systems—not just APIs.
• Microsoft positions Windows 365 as the execution environment that gives enterprise agents security, governance, compliance, and scalable runtime infrastructure.

Enhanced Enterprise Management and Security

• New capabilities improve deployment, customization, and governance of Cloud PCs, including:
• Autopilot Device Preparation for Windows 365.
• Expanded Cloud PC customization.
• Azure Compute Gallery integration.
• New data protection and connectivity enhancements.

Reference: https://techcommunity.microsoft.com/blog/windows-itpro-blog/made-for-developers-and-agents-windows-365-at-build-2026/4519041

Frontier Tuning Private Preview

You may have missed this new announcement, but I found it especially interesting. It is called Frontier Tuning, and it is now available in private preview. Frontier Tuning is a new approach that helps AI work the way a specific business operates by using reinforcement learning with that organization’s own data, processes, and conventions. In simple terms, it teaches an AI model how your organization works; not just what information it has.

Today, most AI systems primarily search across documents, emails, websites, and databases to support question-and-answer experiences. However, they still do not understand how an organization makes decisions. Microsoft uses a reinforcement learning environment, or RLE, which works somewhat like a simulator. In that environment, the AI repeatedly practices tasks and receives feedback on what strong outcomes look like.

During RLE training, the system learns from workflows, tool usage, and evaluation signals without affecting production systems. During RLE inference, it can compare multiple frontier and fine-tuned models across different reasoning paths to identify stronger candidate responses. The system is designed to keep improving through continued interactions.

An important point is that Microsoft 365 Copilot’s LLMs are not learning from customer data to improve the foundation models. Frontier Tuning is different: it allows a customer to intentionally train and optimize AI behavior within its own secure tenant using its own data, workflows, and feedback.

 

Reference: https://devblogs.microsoft.com/microsoft365dev/frontier-tuning-teaching-ai-to-work-the-way-you-do/

New M365 Copilot Design and User Experiences

I am little late in posting this, but at the end of May 2026, a new M365 Copilot design was launched.  

Here is a summary of those changes:

• Task-aware prompt experience: The prompt area evolves from a simple text box into a workspace that adapts to the task being performed, surfacing relevant tools and controls directly beneath the prompt.
• Larger, more expressive prompt surface: Users now have more space to describe their needs and work naturally with Copilot.
• A single Copilot entry point across Microsoft 365: Microsoft is creating a common Copilot entry experience across Microsoft 365 applications that can suggest relevant actions based on context.
• Progressive disclosure of capabilities: The interface begins with a clean, focused design and reveals additional capabilities only when they are needed.
• Simplified navigation: A new expandable and collapsible left navigation pane provides access to agents, conversations, and history while preserving workspace focus.
• Improved work continuity: Shared pinning capabilities and expanded session recall make it easier to return to ongoing work and previous conversations.
• Faster and more responsive experience: The redesign focuses not only on appearance but also on improving responsiveness and overall performance.
• Greater emphasis on output quality: Microsoft states that the most important aspect of the experience is no longer the interface itself, but the quality of the output including tone, structure, readability, usefulness, and trustworthiness.
• More connected and adaptive Copilot experience: The redesign is intended to make Copilot feel like a connected system that moves with users across tasks, teams, applications, and workflows.

Probably, the biggest change customers will see is the Work/Web tab is now gone.

Reference: https://www.microsoft.com/en-us/microsoft-365/blog/2026/05/28/introducing-a-new-design-for-microsoft-365-copilot/

M365 Copilot Work IQ APIs are now GA

Microsoft announced that the M365 Copilot Work IQ APIs will become generally available in June 2026. These APIs make it possible for agents built on any platform to access Work IQ and integrate it into their own solutions.

What are the APIs?

1. They improve result quality by going beyond simple prompt-and-response interactions.  Work IQ uses the semantic index with ultra-low latency, personal memory, organizational skills, structured schema, and business-specific knowledge tuning.
2. They are optimized for agent speed, reducing the number of required round trips.
3. They are efficient APIs that reduce the number of tokens needed to retrieve context.
4. They are designed to support agent-scale usage, including continuous, high-frequency, multi-step operations that require high throughput.
5. They operate within Microsoft 365’s security and governance model, helping developers ensure returned data respects customer controls and policies.

The Result?

As a result, developers can safely bring Microsoft 365 data and context into their agents. This goes beyond a basic connector: it is an intelligent, optimized, and secure AI-scale solution that extends the value of M365 Copilot Work IQ to line-of-business agents, regardless of the platform they are built on.

Pricing

To use the Work IQ APIs:

• Customers must have M365 Copilot Credits, which can be purchased in bundles or consumed on a usage basis. They can also use cost management dashboards and policies to monitor and manage credit usage.
• Users also need an active M365 Copilot license, which must be maintained to access Work IQ.

Reference: https://www.microsoft.com/en-us/microsoft-365/blog/2026/06/02/announcing-the-new-work-iq-apis/ 

M365 Copilot Cowork is GA

One of this week’s major announcements is that Copilot Cowork, previously in preview for the past few months as a Frontier capability, is now generally available for all tenants.

What is Copilot Cowork

If you are not familiar with Copilot Cowork, it moves users beyond simple prompts and responses by enabling them to delegate long-running, multi-step work that progresses over time. It uses Microsoft Work IQ to understand organizational context across email, meetings, chats, files, and other sources, then creates a plan, reasons across tools, and executes tasks with visible progress. Users remain in control and can review, pause, stop, or redirect actions at any point. Unlike traditional chat-based AI, Cowork is designed for agentic execution, allowing Copilot to coordinate work across multiple applications. Cowork also supports a multi-model design, enabling the best model to be used for the work at hand. Today, Copilot Cowork can leverage Opus 4.8, Sonnet 4.6, and GPT 5.5, with Cowork 1 coming soon.

One important point to note is that Cowork has a different pricing model. Customers must first have a Microsoft 365 Copilot license, and Cowork usage is then billed based on the tasks users run. In other words, Cowork can add costs beyond the per-user monthly Microsoft 365 Copilot license. Billing is usage-based, denominated in Copilot Credits, and task pricing is calculated from four inputs: model use, context retrieval, tool calls, and runtime.

If that seems a little confusing, here are some good examples of how to put that in context.  Below are three of the most common patterns that have been observed.

Copilot Cowork Pricing

Customers can use built-in controls to manage Copilot Credit usage. They can define who has access to Cowork, set spending limits at the tenant, group, or user level, and allocate more credits to users who are expected to use Cowork heavily. Cowork is off by default, and administrators can configure usage alerts, approve requests for additional credits, and use reporting to monitor consumption and adjust policies over time.

There are two payment options for Copilot Credits. Pay-as-you-go pricing is $0.01 per Copilot Credit, while P3 lets customers purchase credits in volume at a discounted rate.

Reference: https://www.microsoft.com/en-us/microsoft-365/blog/2026/06/16/copilot-cowork-is-now-generally-available/