Microsoft officially launched Copilot Cowork on June 18, 2026, moving the Microsoft 365 agentic-work system out of a roughly three-month preview and into general availability with usage-based pricing, cloud-hosted task execution, expanded plug-ins, and model support from Anthropic and OpenAI. The launch is not just another Copilot SKU wearing a new badge. It is Microsoft’s clearest attempt yet to turn workplace AI from a chat box that suggests work into an execution layer that performs it. For Windows shops, Microsoft 365 administrators, and security teams, that shift is both the opportunity and the problem.
The old Copilot promise was that office workers could get a faster first draft, a better summary, or a cleaner spreadsheet formula. That was useful, but it left the human very much in charge of the workflow. Copilot could suggest the memo, outline the presentation, or tell you what mattered in a meeting, but someone still had to shepherd the work through apps, files, permissions, and organizational politics.
Copilot Cowork is pitched as the next step: an AI system that uses multiple tools, runs longer tasks in the cloud, and returns something closer to a finished output. That sounds like marketing until you notice the design change underneath it. Microsoft is not merely adding a smarter assistant to Word, Excel, Teams, and Outlook; it is building a service that can move across those surfaces and treat them as parts of one job.
That distinction matters because most knowledge work is not contained inside a single app. Preparing a client briefing may require pulling email history, reading meeting notes, checking a spreadsheet, drafting a deck, and scheduling follow-up. A chat assistant can help with each fragment. A real workplace agent tries to own the chain.
Microsoft’s bet is that the next phase of productivity software will be judged less by how eloquently an AI answers a prompt and more by whether it can safely complete the dull, cross-application work that consumes enterprise time. Cowork is the company’s attempt to make that bet concrete.
That customer list is doing a lot of work. Accenture and Avanade are not merely buyers; they are also the kinds of services firms that can help Microsoft normalize a product category by building practices around it. If Cowork becomes another layer in enterprise transformation projects, Microsoft gets more than license revenue. It gets consultants teaching large organizations how to reorganize workflows around Microsoft’s agent stack.
The Fortune 500 adoption claim should still be read carefully. “Using” can mean many things in enterprise software, from serious production deployment to carefully fenced pilot. Microsoft’s language points to momentum, not necessarily universal dependence. But even cautious pilots inside major companies matter when the product category is still being defined.
This is how Microsoft usually wins in business software. It does not need every company to replace every workflow on day one. It needs the product to become a credible default choice for organizations that already live inside Microsoft 365, Entra, Purview, Teams, SharePoint, and Windows.
This does not make Windows irrelevant. If anything, it makes the identity, endpoint-management, and compliance posture around the Windows device more important. The local machine remains the human’s trusted access point, but the actual task may continue elsewhere, inside a cloud-hosted environment bound to organizational policy.
That model is familiar to administrators who already manage cloud desktops, SaaS automation, and remote execution. What is new is the packaging. Microsoft is putting agentic execution in front of ordinary office workers, not just developers or automation specialists. The user who previously asked Copilot for a meeting summary may now ask Cowork to prepare a deliverable that touches multiple business systems.
The upside is obvious: long-running work no longer dies when a laptop sleeps, a browser tab closes, or a user moves from desktop to phone. The risk is equally obvious: organizations must understand what the agent can access, what it can modify, how it logs actions, and how a human can intervene when an automated task goes sideways.
A generic large language model can write a good email. A Microsoft 365 agent can potentially know which email thread matters, which files the user has permission to access, which meeting produced the decision, which Teams channel holds the unresolved dispute, and which PowerPoint template the department actually uses. That is where the productivity claim either becomes real or collapses.
Work IQ is Microsoft’s way of saying that Cowork is anchored in business context rather than floating above it. In theory, it reflects email, meetings, documents, chats, and organizational relationships while honoring existing permissions. In practice, that means Cowork’s usefulness will depend heavily on the quality of a company’s Microsoft 365 hygiene.
Enterprises with disciplined document storage, sane permissions, consistent naming, and well-governed Teams environments are likely to see better results. Enterprises with chaotic SharePoint sprawl, stale groups, over-permissive file access, and years of unmanaged collaboration debris may discover that “business context” is not automatically the same thing as business truth.
This is the part of the AI story that vendors tend to underplay. Agents do not merely consume prompts; they consume organizational systems. If those systems are messy, the agent inherits the mess at machine speed.
But inheriting policy is not the same as eliminating risk. A human employee with access to many files can already make mistakes; an agent acting on that employee’s behalf can make different mistakes faster and with more confidence. The core security question is not only “Can Cowork see this?” but “What can Cowork do after it sees this?”
This is where Microsoft’s governance story will be tested. Administrators will want clear audit trails, policy controls, workload scoping, approval gates, and ways to prevent agents from making irreversible changes without human review. The more Cowork moves from drafting to delivering, the more the control plane matters.
The WindowsForum audience has seen this movie before in other forms. Macros, scripts, remote management tools, browser extensions, and SaaS integrations all promised efficiency before becoming governance headaches. Agentic AI is more sophisticated, but the old rule still applies: any tool powerful enough to save time is powerful enough to create incidents.
The practical explanation is simple: different models are good at different things, and enterprise customers increasingly expect choice. Some workloads may favor reasoning depth, some may favor speed, some may favor coding or document synthesis, and some may be shaped by risk policies that require a particular model family. Microsoft does not want Copilot to be trapped by a single-model narrative if customers decide the market has moved elsewhere.
The strategic explanation is more interesting. Microsoft is positioning Copilot as the orchestration layer above the model market. If the model is interchangeable, the durable value shifts to identity, data access, app integration, compliance, billing, and workflow design. That is classic Microsoft platform thinking.
This also gives Microsoft cover if model rankings change. Frontier AI is a volatile market, and today’s benchmark winner can become tomorrow’s mid-tier option. By making Cowork multi-model, Microsoft can tell customers they are buying the workplace agent framework, not betting the company on one lab’s release schedule.
This is a major shift for Microsoft 365 buyers. A per-user license is predictable, even when it is expensive. Usage-based billing can be more efficient, but it also introduces metering anxiety. Finance teams will want forecasts; administrators will want caps; department heads will want to know which workflows are burning credits and why.
Microsoft likely prefers this model because agentic work is not uniform. One user asking for a summary and another delegating a multi-step research, spreadsheet, and presentation task do not impose the same compute cost. Credits let Microsoft align revenue with consumption while giving customers a way to start small.
But usage pricing also changes user behavior. If every meaningful action has a metered cost, companies may need internal norms around when Cowork is appropriate. The first wave of adoption may be enthusiastic; the second wave will be governed by dashboards, budgets, and awkward conversations about whether that AI-generated deck was worth the credits.
The Microsoft 365 Copilot app is already the front door for many users experimenting with AI at work. If Cowork lives too far away from that surface, it risks becoming another specialized tool that only power users remember to open. By making the transition from chat to Cowork immediate, Microsoft is trying to turn curiosity into delegation.
The design implication is clear: chat remains the conversational interface, but Cowork becomes the execution mode. The user starts by describing a need and then escalates from discussion to action. That is the workflow Microsoft wants to normalize.
There is also a training benefit. Organizations do not need to teach users to begin in an entirely new application. They can teach a new mental model inside an existing surface: when the task is simple, chat is enough; when the task spans tools and time, hand it to Cowork.
For Microsoft, plug-ins are both capability and lock-in. The more Cowork can do across systems, the more it becomes a central work broker. But the more organizations depend on it as that broker, the more they need to scrutinize third-party connectors, data flows, and permission boundaries.
This is especially important for companies that do not live entirely inside Microsoft’s stack. Many enterprises use Salesforce, ServiceNow, Workday, Atlassian, SAP, bespoke line-of-business systems, and industry-specific platforms. Cowork’s long-term value depends on whether it can operate across that messy reality without becoming a brittle automation layer.
The history of enterprise integration suggests caution. Plug-ins can make demos sparkle and operations complicated. Each connector adds another place where authentication, authorization, logging, error handling, and vendor support must work correctly. Agentic AI does not repeal integration debt; it may expose it more quickly.
A draft invites review. A recommendation invites judgment. A finished output can be forwarded, filed, presented, purchased, scheduled, or acted upon. The closer AI gets to completion, the more organizations must define where human accountability enters the loop.
This is not an argument against Cowork. It is an argument against pretending that agentic productivity is just faster autocomplete. When a system can assemble a launch plan, prepare a customer briefing, update a spreadsheet, or coordinate tasks, it becomes part of the operational machinery of the company.
That machinery needs brakes. Some tasks can be fully delegated; some should require approval; some should be barred entirely. The hard work for IT will be translating broad enthusiasm for AI into policy that distinguishes between low-risk productivity gains and high-risk automated action.
Organizations considering Cowork should not begin with the broad question of whether they “need AI agents.” They should begin with specific workflows that are repetitive, document-heavy, permission-contained, and measurable. If a task has clear inputs, clear outputs, and a manageable blast radius, it is a better candidate than a politically sensitive process with ambiguous ownership.
IT teams should also prepare for a new kind of support ticket. Users will not merely ask why an app crashed; they will ask why an agent made a strange choice, used the wrong file, misunderstood a meeting, or consumed more credits than expected. That requires different observability than traditional desktop support.
The organizations that get value fastest will likely be the ones that treat Cowork as a managed platform, not a magic worker. They will define approved use cases, monitor credit consumption, review audit logs, and create escalation paths for agent errors. Everyone else may simply discover new ways to automate confusion.
Cowork turns Microsoft 365 into something closer to a work operating system. The apps remain, but the agent becomes the connective tissue. That is why the launch matters more than a normal feature update.
This is also why rivals will struggle to attack Microsoft only at the model layer. A better model can win a benchmark or delight an individual user. But in the enterprise, the winning system must fit identity, permissions, compliance, procurement, support, and existing workflows. Microsoft has spent decades embedding itself in those layers.
The danger for Microsoft is that the same depth can produce complexity. If Cowork feels opaque, expensive, or administratively heavy, organizations may limit it to narrow use cases. If it feels trustworthy and measurable, it could become one of the most important additions to Microsoft 365 since Teams.
Microsoft Is Selling Execution, Not Inspiration
The old Copilot promise was that office workers could get a faster first draft, a better summary, or a cleaner spreadsheet formula. That was useful, but it left the human very much in charge of the workflow. Copilot could suggest the memo, outline the presentation, or tell you what mattered in a meeting, but someone still had to shepherd the work through apps, files, permissions, and organizational politics.Copilot Cowork is pitched as the next step: an AI system that uses multiple tools, runs longer tasks in the cloud, and returns something closer to a finished output. That sounds like marketing until you notice the design change underneath it. Microsoft is not merely adding a smarter assistant to Word, Excel, Teams, and Outlook; it is building a service that can move across those surfaces and treat them as parts of one job.
That distinction matters because most knowledge work is not contained inside a single app. Preparing a client briefing may require pulling email history, reading meeting notes, checking a spreadsheet, drafting a deck, and scheduling follow-up. A chat assistant can help with each fragment. A real workplace agent tries to own the chain.
Microsoft’s bet is that the next phase of productivity software will be judged less by how eloquently an AI answers a prompt and more by whether it can safely complete the dull, cross-application work that consumes enterprise time. Cowork is the company’s attempt to make that bet concrete.
The Three-Month Preview Was a Trial Balloon for the Fortune 500
Microsoft says Copilot Cowork spent about three months in preview and is already being used by more than half of the Fortune 500. Named customers include Accenture, Avanade, Capital Group, and Zurich Insurance, a roster that gives the launch the familiar shape of a Microsoft enterprise rollout: prove the system with giant, compliance-heavy customers, then tell the rest of the market that the risk has already been socialized.That customer list is doing a lot of work. Accenture and Avanade are not merely buyers; they are also the kinds of services firms that can help Microsoft normalize a product category by building practices around it. If Cowork becomes another layer in enterprise transformation projects, Microsoft gets more than license revenue. It gets consultants teaching large organizations how to reorganize workflows around Microsoft’s agent stack.
The Fortune 500 adoption claim should still be read carefully. “Using” can mean many things in enterprise software, from serious production deployment to carefully fenced pilot. Microsoft’s language points to momentum, not necessarily universal dependence. But even cautious pilots inside major companies matter when the product category is still being defined.
This is how Microsoft usually wins in business software. It does not need every company to replace every workflow on day one. It needs the product to become a credible default choice for organizations that already live inside Microsoft 365, Entra, Purview, Teams, SharePoint, and Windows.
The Cloud-Hosted Agent Changes the Boundary of the PC
One of Cowork’s most important claims is that it can keep running tasks even when the user’s device is powered off. That sounds like a convenience feature, but it quietly changes the role of the Windows PC in Microsoft’s productivity architecture. The PC becomes less the place where work happens and more the console from which work is delegated.This does not make Windows irrelevant. If anything, it makes the identity, endpoint-management, and compliance posture around the Windows device more important. The local machine remains the human’s trusted access point, but the actual task may continue elsewhere, inside a cloud-hosted environment bound to organizational policy.
That model is familiar to administrators who already manage cloud desktops, SaaS automation, and remote execution. What is new is the packaging. Microsoft is putting agentic execution in front of ordinary office workers, not just developers or automation specialists. The user who previously asked Copilot for a meeting summary may now ask Cowork to prepare a deliverable that touches multiple business systems.
The upside is obvious: long-running work no longer dies when a laptop sleeps, a browser tab closes, or a user moves from desktop to phone. The risk is equally obvious: organizations must understand what the agent can access, what it can modify, how it logs actions, and how a human can intervene when an automated task goes sideways.
Work IQ Is Microsoft’s Real Moat
Microsoft’s “Work IQ” language is easy to dismiss as another branding exercise, but it points to the company’s strongest advantage in workplace AI. The model is not the whole product. The context is.A generic large language model can write a good email. A Microsoft 365 agent can potentially know which email thread matters, which files the user has permission to access, which meeting produced the decision, which Teams channel holds the unresolved dispute, and which PowerPoint template the department actually uses. That is where the productivity claim either becomes real or collapses.
Work IQ is Microsoft’s way of saying that Cowork is anchored in business context rather than floating above it. In theory, it reflects email, meetings, documents, chats, and organizational relationships while honoring existing permissions. In practice, that means Cowork’s usefulness will depend heavily on the quality of a company’s Microsoft 365 hygiene.
Enterprises with disciplined document storage, sane permissions, consistent naming, and well-governed Teams environments are likely to see better results. Enterprises with chaotic SharePoint sprawl, stale groups, over-permissive file access, and years of unmanaged collaboration debris may discover that “business context” is not automatically the same thing as business truth.
This is the part of the AI story that vendors tend to underplay. Agents do not merely consume prompts; they consume organizational systems. If those systems are messy, the agent inherits the mess at machine speed.
Security Inheritance Is Necessary, but Not Sufficient
Microsoft says Copilot Cowork conforms to existing organizational security policies. That is the minimum viable answer for any enterprise AI agent. If Cowork ignored identity boundaries, compliance rules, sensitivity labels, or data-loss policies, it would be unusable in serious business environments.But inheriting policy is not the same as eliminating risk. A human employee with access to many files can already make mistakes; an agent acting on that employee’s behalf can make different mistakes faster and with more confidence. The core security question is not only “Can Cowork see this?” but “What can Cowork do after it sees this?”
This is where Microsoft’s governance story will be tested. Administrators will want clear audit trails, policy controls, workload scoping, approval gates, and ways to prevent agents from making irreversible changes without human review. The more Cowork moves from drafting to delivering, the more the control plane matters.
The WindowsForum audience has seen this movie before in other forms. Macros, scripts, remote management tools, browser extensions, and SaaS integrations all promised efficiency before becoming governance headaches. Agentic AI is more sophisticated, but the old rule still applies: any tool powerful enough to save time is powerful enough to create incidents.
Microsoft’s Multi-Model Strategy Is a Quiet Admission
Copilot Cowork’s model story is notable because it is not exclusively an OpenAI story. Microsoft says Cowork runs on Anthropic’s Opus 4.8 and Sonnet 4.6, with OpenAI’s GPT 5.5 available in the preview environment. That is a striking detail for a company whose AI identity has been so tightly associated with OpenAI.The practical explanation is simple: different models are good at different things, and enterprise customers increasingly expect choice. Some workloads may favor reasoning depth, some may favor speed, some may favor coding or document synthesis, and some may be shaped by risk policies that require a particular model family. Microsoft does not want Copilot to be trapped by a single-model narrative if customers decide the market has moved elsewhere.
The strategic explanation is more interesting. Microsoft is positioning Copilot as the orchestration layer above the model market. If the model is interchangeable, the durable value shifts to identity, data access, app integration, compliance, billing, and workflow design. That is classic Microsoft platform thinking.
This also gives Microsoft cover if model rankings change. Frontier AI is a volatile market, and today’s benchmark winner can become tomorrow’s mid-tier option. By making Cowork multi-model, Microsoft can tell customers they are buying the workplace agent framework, not betting the company on one lab’s release schedule.
Pricing by Credit Makes AI Feel Like Cloud Again
Copilot Cowork arrives with two payment options: PayGo and P3. PayGo charges $0.01 per Copilot credit, while P3 offers discounts in exchange for a pre-committed usage amount. That pricing structure pulls Cowork away from the familiar per-seat productivity-software model and toward the consumption logic of cloud infrastructure.This is a major shift for Microsoft 365 buyers. A per-user license is predictable, even when it is expensive. Usage-based billing can be more efficient, but it also introduces metering anxiety. Finance teams will want forecasts; administrators will want caps; department heads will want to know which workflows are burning credits and why.
Microsoft likely prefers this model because agentic work is not uniform. One user asking for a summary and another delegating a multi-step research, spreadsheet, and presentation task do not impose the same compute cost. Credits let Microsoft align revenue with consumption while giving customers a way to start small.
But usage pricing also changes user behavior. If every meaningful action has a metered cost, companies may need internal norms around when Cowork is appropriate. The first wave of adoption may be enthusiastic; the second wave will be governed by dashboards, budgets, and awkward conversations about whether that AI-generated deck was worth the credits.
The App Switch Is a Small UX Change With Large Intent
For general availability, Microsoft improved the application switching experience, allowing users to move directly from chat in the Microsoft 365 Copilot app into Copilot Cowork. This sounds mundane, but it is exactly the kind of UX seam that determines whether a new enterprise feature becomes habit or shelfware.The Microsoft 365 Copilot app is already the front door for many users experimenting with AI at work. If Cowork lives too far away from that surface, it risks becoming another specialized tool that only power users remember to open. By making the transition from chat to Cowork immediate, Microsoft is trying to turn curiosity into delegation.
The design implication is clear: chat remains the conversational interface, but Cowork becomes the execution mode. The user starts by describing a need and then escalates from discussion to action. That is the workflow Microsoft wants to normalize.
There is also a training benefit. Organizations do not need to teach users to begin in an entirely new application. They can teach a new mental model inside an existing surface: when the task is simple, chat is enough; when the task spans tools and time, hand it to Cowork.
Plug-Ins Are Where the Enterprise Battle Moves
Microsoft says it has expanded plug-in support, adding nine new plug-ins and planning eight more. The numbers are less important than the direction. Agents become more valuable when they can reach the tools where work actually happens.For Microsoft, plug-ins are both capability and lock-in. The more Cowork can do across systems, the more it becomes a central work broker. But the more organizations depend on it as that broker, the more they need to scrutinize third-party connectors, data flows, and permission boundaries.
This is especially important for companies that do not live entirely inside Microsoft’s stack. Many enterprises use Salesforce, ServiceNow, Workday, Atlassian, SAP, bespoke line-of-business systems, and industry-specific platforms. Cowork’s long-term value depends on whether it can operate across that messy reality without becoming a brittle automation layer.
The history of enterprise integration suggests caution. Plug-ins can make demos sparkle and operations complicated. Each connector adds another place where authentication, authorization, logging, error handling, and vendor support must work correctly. Agentic AI does not repeal integration debt; it may expose it more quickly.
The Finished Output Is the New Liability
Microsoft’s most aggressive positioning is that Cowork can deliver finished outputs rather than mere drafts or recommendations. That is the sentence that should make executives excited and compliance officers sit up straight. Finished work has consequences.A draft invites review. A recommendation invites judgment. A finished output can be forwarded, filed, presented, purchased, scheduled, or acted upon. The closer AI gets to completion, the more organizations must define where human accountability enters the loop.
This is not an argument against Cowork. It is an argument against pretending that agentic productivity is just faster autocomplete. When a system can assemble a launch plan, prepare a customer briefing, update a spreadsheet, or coordinate tasks, it becomes part of the operational machinery of the company.
That machinery needs brakes. Some tasks can be fully delegated; some should require approval; some should be barred entirely. The hard work for IT will be translating broad enthusiasm for AI into policy that distinguishes between low-risk productivity gains and high-risk automated action.
The Real Deployment Work Starts After the Launch
General availability often creates the illusion that a technology is ready because the vendor says it is ready. In enterprise IT, GA is only the starting gun. The hard part is adoption design.Organizations considering Cowork should not begin with the broad question of whether they “need AI agents.” They should begin with specific workflows that are repetitive, document-heavy, permission-contained, and measurable. If a task has clear inputs, clear outputs, and a manageable blast radius, it is a better candidate than a politically sensitive process with ambiguous ownership.
IT teams should also prepare for a new kind of support ticket. Users will not merely ask why an app crashed; they will ask why an agent made a strange choice, used the wrong file, misunderstood a meeting, or consumed more credits than expected. That requires different observability than traditional desktop support.
The organizations that get value fastest will likely be the ones that treat Cowork as a managed platform, not a magic worker. They will define approved use cases, monitor credit consumption, review audit logs, and create escalation paths for agent errors. Everyone else may simply discover new ways to automate confusion.
Microsoft Wants the Office Suite to Become the Office Worker
There is a larger competitive story here. Microsoft is defending the productivity suite by transforming it. Word, Excel, PowerPoint, Outlook, and Teams are no longer enough as static applications if users increasingly expect AI systems to move between them.Cowork turns Microsoft 365 into something closer to a work operating system. The apps remain, but the agent becomes the connective tissue. That is why the launch matters more than a normal feature update.
This is also why rivals will struggle to attack Microsoft only at the model layer. A better model can win a benchmark or delight an individual user. But in the enterprise, the winning system must fit identity, permissions, compliance, procurement, support, and existing workflows. Microsoft has spent decades embedding itself in those layers.
The danger for Microsoft is that the same depth can produce complexity. If Cowork feels opaque, expensive, or administratively heavy, organizations may limit it to narrow use cases. If it feels trustworthy and measurable, it could become one of the most important additions to Microsoft 365 since Teams.
The Cowork Launch Gives IT a New Checklist
The launch of Copilot Cowork is best understood as a governance event as much as a product event. The feature set is impressive, but the real question is whether organizations can make delegated AI work visible, bounded, and worth paying for.- Copilot Cowork is now generally available after a roughly three-month preview, with Microsoft positioning it as an agentic system for finished outputs rather than draft assistance.
- The service runs tasks in a cloud-hosted environment, which means work can continue even when the user’s device is offline or powered down.
- Microsoft is leaning on Work IQ, existing Microsoft 365 permissions, and organizational security policies to make the agent useful inside enterprise boundaries.
- The product uses a multi-model approach that includes Anthropic models, with OpenAI model access also appearing in preview contexts.
- Pricing moves toward consumption through Copilot credits, with PayGo at $0.01 per credit and P3 offering discounts for committed usage.
- Administrators should evaluate Cowork by workflow, auditability, approval controls, connector risk, and credit consumption rather than by demo quality alone.
References
- Primary source: Chosunbiz
Published: 2026-06-18T01:27:12.492457
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biz.chosun.com - Related coverage: techradar.com
Microsoft makes Copilot Cowork open to everyone, and wants to help you tackle even the trickiest work tasks | TechRadar
Copilot Cowork gets an upgrade as it opens to all userswww.techradar.com - Official source: learn.microsoft.com
Usage-Based Billing and Cost Management for Copilot Credits | Microsoft Learn
Copilot Credits power usage-based billing across eligible AI experiences. Discover how to allocate, monitor, and optimize spending in the Microsoft 365 admin center.learn.microsoft.com - Official source: microsoft.com
Copilot Cowork: Now available in Frontier | Microsoft 365 Blog
Today, Copilot Cowork—designed for long-running, multi-step work in Microsoft 365—is available via the Frontier program.www.microsoft.com - Official source: news.microsoft.com
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news.microsoft.com - Official source: blogs.microsoft.com
Introducing the First Frontier Suite built on Intelligence + Trust - The Official Microsoft Blog
Today Microsoft is announcing: Wave 3 of Microsoft 365 Copilot Expanded model diversity with Claude and next-gen OpenAI models available today General availability of Agent 365 on May 1 for $15 per user General availability of the new Microsoft 365 E7: The Frontier Suite on May 1 for $99 per...blogs.microsoft.com
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www.moneycontrol.com - Official source: techcommunity.microsoft.com
Available today: Anthropic Claude Opus 4.8 in Microsoft 365 Copilot | Microsoft Community Hub
Expanding model choice in Microsoft 365 Copilot: Anthropic's Claude Opus 4.8 is rolling out today in Copilot Cowork.  
techcommunity.microsoft.com
- Official source: docs.github.com
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docs.github.com - Official source: cdn-dynmedia-1.microsoft.com
- Related coverage: windowscentral.com
Microsoft Copilot Wave 3 adds AI agents and E7 Frontier Suite | Windows Central
Microsoft Copilot is rolling out more agentic AI control and model support in a new subscription tier for Microsoft 365.www.windowscentral.com
