Testing Copilot Cowork on Real Office Work: The First Honest Week

Every AI company wants to be the thing you talk to instead of doing work yourself. Microsoft's latest move in that direction is Copilot Cowork, which went GA on June 16, 2026. The pitch is straightforward: instead of just answering questions inside your M365 apps, Cowork acts as a collaborative partner that can draft, edit, review, and refine content across Word, Excel, PowerPoint, Outlook, and Teams — using a multi-model architecture that pairs Claude for planning and reasoning with GPT for drafting and generation.

We spent an entire work week running Copilot Cowork on real office tasks at MojoStudio. Not synthetic benchmarks. Not demo-worthy cherry-picked examples. The kind of work that fills an actual calendar: client emails, strategy decks, financial models, meeting briefs, project updates, and internal docs. We tracked what it did well, what it botched, how many credits each task consumed, and whether the results were something we'd actually ship or something we'd rewrite from scratch.

This is the honest week.

Why we tested Copilot Cowork specifically

The AI assistant market has bifurcated into two camps. On one side, you have platform-specific assistants like Copilot Cowork that live inside a productivity suite and interact with your existing documents, emails, and data. On the other, you have platform-agnostic tools like Claude Cowork that operate in a sandboxed environment with broader tool use and computer access.

Most teams we talk to at MojoStudio are trying to figure out which camp fits their workflow. The pitch from Microsoft is compelling: you're already in M365, you already have the documents, the email history, the calendar data. Why would you context-switch to a separate tool when the AI can just... be there?

The numbers behind this bet are staggering. Microsoft has over 450 million monthly active users on Microsoft 365. As of mid-2026, only about 15 million — roughly 3.3% — pay for the Copilot add-on. That means 96.7% of M365 users haven't adopted any AI layer at all. Copilot Cowork is Microsoft's play to convert that massive majority. The question is whether the experience is good enough to justify the cost, and whether the credit-based pricing model makes sense for teams that do real work, not just light email touch-ups.

We wanted to find out by using it the way a real office team would use it — not the way a product demo would show it.

Day 1: Setup and first impressions

Setting up Copilot Cowork requires an M365 subscription with Copilot enabled. If you're on an enterprise plan, Copilot runs at $30 per user per month. For small and medium businesses, it's $21 per user per month. On top of that base subscription, Cowork uses a credits system: $0.01 per credit, with tasks consuming different amounts depending on complexity.

The setup itself was painless. If you already have Copilot enabled in your M365 tenant, Cowork appears as a new mode in the Copilot sidebar. You don't need to install anything new. You don't need to configure models. You just switch to Cowork mode and start talking.

The interface feels like a natural extension of the existing Copilot pane, but with more context. When you open Cowork in Word, it knows what document you're looking at. In Outlook, it sees your email thread. In Teams, it has the meeting transcript. This contextual awareness is the core advantage Microsoft is betting on, and it works — when it works.

One thing to note: Cowork maintains session context within a single task but doesn't persist across sessions. If you start drafting a document on Monday and come back on Tuesday, Cowork doesn't remember the previous session. You need to re-establish context each time. For tasks that span multiple days, this means either completing them in one sitting or manually re-loading context. This is a meaningful friction point for longer projects.

Our first task was a simple one: draft a follow-up email to a client after a strategy call. Cowork pulled the meeting notes from Teams, identified the action items, and produced a solid first draft in about 15 seconds. The tone was professional, the structure was clean, and the action items were correctly extracted. It consumed 127 credits — about $1.27.

We then asked it to adjust the tone to be more casual (this client has a relaxed relationship with our team). The second draft was better — warmer, less formal, but still professional. The adjustment consumed another 68 credits. Two rounds of iteration for a solid output. Not bad.

A good start. But a follow-up email is the kind of task every AI tool nails. The real test was coming.

What Copilot Cowork actually does (and doesn't do)

Before we get into the task breakdown, it's worth being precise about what Cowork is and isn't. The marketing language makes it sound like a fully autonomous agent. The reality is more nuanced.

Copilot Cowork is a collaborative AI that works within M365 applications. It can:

• Draft and edit content in Word, PowerPoint, and Outlook
• Analyze data and create formulas in Excel
• Summarize and prepare meeting content in Teams
• Work across multiple documents in a single session
• Use a multi-model approach (Claude for planning, GPT for generation)
• Iterate on output based on your feedback within a session

Copilot Cowork cannot:

• Use your local computer or file system outside M365
• Access third-party applications or tools (no CRM, no project management, no external APIs)
• Take autonomous actions without your approval for every step
• Work outside the Microsoft 365 ecosystem in any capacity

That last point is the critical limitation. If your workflow involves pulling data from a Notion doc, checking a Figma file, referencing a Slack thread, and then drafting something in Google Docs — Cowork can't do any of that. It lives in M365, it works with M365 data, and it stays in M365. Period.

There's also a nuance around M365 app coverage that isn't always clear. Cowork works across Word, Excel, PowerPoint, Outlook, and Teams. It does not work with Planner, To Do, Loop, or other M365 apps that aren't in the core five. If your team relies on Planner for project tracking or Loop for collaborative docs, Cowork won't interact with those surfaces. The scope is narrower than "M365" implies.

For teams that live entirely inside the Microsoft ecosystem, this is fine. For teams that use a multi-tool stack — which is most teams — it's a hard wall.

The multi-model architecture: Claude + GPT working together

The most interesting technical decision in Copilot Cowork is the dual-model approach. Microsoft doesn't just use GPT-4 or GPT-5 for everything. Instead, Cowork pairs two models with distinct roles:

Claude handles planning and reasoning. When you give Cowork a task, Claude is the model that thinks through what needs to happen, breaks the task into steps, identifies what data it needs, and determines the approach. This is the "thinking" layer.

GPT handles drafting and generation. Once Claude has a plan, GPT executes the actual content creation — writing the email, building the spreadsheet formulas, creating the PowerPoint structure. This is the "doing" layer.

Microsoft also implemented what they call a "critique" approach. GPT generates a draft, then Claude reviews it. If the draft has issues — factual inconsistencies, tone problems, structural weaknesses — Claude flags them and GPT revises. In internal testing, this two-model critique loop scored 57.4 on Microsoft's DRACO evaluation framework, compared to 42.7 for standalone Claude.

In practice, you don't see this architecture working. You just see the output. But you can feel it in the quality of complex tasks. When we asked Cowork to build a financial model in Excel with multiple scenario analyses, the planning phase (Claude) correctly identified which variables needed sensitivity analysis and how to structure the scenarios. The execution phase (GPT) built the formulas and formatting. The critique phase caught a circular reference in one of the calculations and fixed it before we even saw the output.

This is genuinely better than single-model approaches for complex tasks. The separation of "think about what to do" and "do it" maps cleanly onto how good human work actually happens.

If you're curious about what the multi-model orchestration looks like conceptually, here's the simplified flow that Cowork follows for a complex task:

# Simplified representation of Cowork's multi-model flow
# (This is not actual Cowork code — it illustrates the architecture)

def cowork_task(user_prompt, m365_context):
    # Phase 1: Claude plans the approach
    plan = claude_reason(
        prompt=user_prompt,
        context=m365_context,  # emails, docs, transcripts
        instructions="Break this task into concrete steps. "
                     "Identify required data sources and output format."
    )
    
    # Phase 2: GPT executes the draft
    draft = gpt_generate(
        plan=plan,
        context=m365_context,
        instructions="Produce the full output following the plan."
    )
    
    # Phase 3: Claude critiques the draft
    critique = claude_review(
        draft=draft,
        original_prompt=user_prompt,
        checks=["factual accuracy", "tone consistency", 
                "completeness", "logical coherence"]
    )
    
    # Phase 4: GPT revises based on critique
    if critique.has_issues:
        final = gpt_generate(
            plan=plan,
            draft=draft,
            critique=critique.feedback,
            instructions="Revise the draft addressing all critique points."
        )
    else:
        final = draft
    
    return final

The key insight is that each model does what it's best at. Claude's strength is reasoning about what needs to happen and evaluating whether the output is good. GPT's strength is generating fluent, well-structured content. The combination produces better output than either model alone.

Real tasks we ran: the full breakdown

Here's every task we ran during the week, what Cowork did with each one, how many credits it consumed, and whether we'd ship the output or rewrite it.

Monday: Client email thread drafting

Task: Draft three response emails to different clients based on recent meeting notes and project updates.

Result: Cowork pulled meeting transcripts from Teams and project status from shared documents. The drafts were clean, professional, and correctly referenced specific discussion points. Two of the three needed minor tone adjustments. One needed a factual correction on a timeline.

Credits consumed: 384 (across three emails, averaging 128 each)

Verdict: Usable with light editing. We shipped two of the three after minor tweaks. The third needed a rewrite because the client relationship required a specific tone that Cowork didn't nail.

Tuesday: Strategy deck from scratch

Task: Create a 15-slide strategy deck for a client pitch based on a 4-page brief document.

Result: Cowork read the brief, created a logical slide structure, and generated content for each slide. The narrative flow was strong. The problem was visual: Cowork created placeholder layouts but couldn't produce custom graphics, data visualizations, or branded design elements. The deck looked like a well-structured outline, not a finished presentation.

Credits consumed: 1,847

Verdict: Useful as a starting point. We took the structure and content to a designer for visual polish. Saved roughly 2-3 hours of outline work, but the deck still needed significant design time.

Wednesday: Excel financial model

Task: Build a 12-month P&L projection with three scenarios (conservative, base, aggressive) based on historical data from a shared spreadsheet.

Result: This was Cowork's strongest performance. It correctly identified revenue drivers from the historical data, built formulas with proper cell references, created scenario toggle logic, and formatted everything cleanly. The critique phase caught two formula errors before we saw the output.

Credits consumed: 2,156

Verdict: Shipped with minimal changes. We adjusted two assumption cells and added a chart, but the model itself was production-ready. This task alone justified the credits cost for the day.

Thursday: Meeting prep and follow-up documentation

Task: Prepare a pre-meeting brief for a board meeting (attendee analysis, agenda alignment, talking points) and draft post-meeting action items from the transcript.

Result: The pre-meeting brief was excellent. Cowork pulled attendee profiles from LinkedIn (via M365 graph data), aligned agenda items with strategic priorities, and generated targeted talking points. The post-meeting action extraction from the transcript was solid but missed two implied commitments that weren't stated explicitly.

Credits consumed: 943 (pre-meeting: 612, post-meeting: 331)

Verdict: Pre-meeting brief was ship-ready. Post-meeting follow-up needed manual additions for the implied commitments. Good overall.

Friday: Internal process documentation

Task: Create a standardized onboarding checklist document based on scattered notes across three existing documents and a Teams channel.

Result: Cowork consolidated information from all three sources, identified overlaps and gaps, and produced a clean, structured checklist. It correctly merged duplicate items and flagged missing steps that existed in only one source document. The output was genuinely useful — it found connections between the scattered notes that we'd missed.

Credits consumed: 1,204

Verdict: Ship-ready. This was the task where Cowork's cross-document awareness proved its value most clearly. The ability to read across multiple sources and synthesize is something standalone AI tools struggle with because they lack the native M365 integration.

Weekly totals

What worked better than expected

Three things genuinely impressed us during the week.

Cross-document synthesis. Cowork's ability to read across multiple M365 documents in a single session is its killer feature. The Friday onboarding doc task demonstrated this perfectly — it pulled from three separate sources, merged overlapping content, and identified gaps. Standalone AI tools would require you to manually paste or upload all that context. Cowork just... sees it.

The critique loop. The multi-model review process caught real errors before we saw them. The Excel financial model had two formula issues that Claude's review phase identified and GPT fixed automatically. In our experience with single-model tools, those errors would have made it to the output and required manual detection.

Contextual awareness in meetings. The pre-meeting brief was the most impressive single output of the week. Cowork understood not just the agenda but the strategic context, attendee dynamics, and historical relationship data. It produced talking points that were genuinely relevant, not generic.

What didn't work

Three things fell short, and two of them are structural limitations that won't be fixed with updates.

Visual content is weak. The strategy deck task exposed Cowork's biggest gap: it can create structure and content but can't produce visual assets, custom charts, branded layouts, or any design element beyond basic formatting. For teams that need polished visual output, Cowork is a text generator with a PowerPoint skin.

No third-party integrations. This is the structural limitation that matters most. If your workflow touches tools outside M365 — and it does — Cowork can't help. We couldn't pull data from our project management tool, reference our design system in Figma, or check our CRM for client history. Every task that required external context had to be manually loaded into M365 first. For a team that uses 10+ SaaS tools (which is the average), this is a significant friction point.

Approval fatigue. Cowork asks for approval on almost every action. Click here to proceed. Confirm this edit. Allow this change. For complex tasks with multiple steps, the approval prompts become a stream of clicks that slows down the workflow instead of accelerating it. You spend as much time approving as you would just doing the work. There's a setting to reduce approval frequency, but doing so requires trusting the AI more than most teams are comfortable with.

No autonomous actions. Cowork won't send an email on your behalf, even with approval. It won't update a shared document without confirmation. It won't take any action that has real-world consequences without you clicking "approve" first. This is the right safety default, but it means Cowork is a drafting tool, not an execution tool. You still do all the actual work. Cowork just does the thinking and writing parts.

The pricing reality: credits math

Let's talk about what Cowork actually costs in practice, because the marketing numbers and the real numbers are different things.

The base cost is straightforward: $30/user/month for enterprise, $21/user/month for SMB. That gets you Copilot across M365. Cowork uses additional credits on top of that base.

Credit consumption varies significantly by task type:

Microsoft includes a pool of credits with the Copilot subscription, but the exact allocation depends on your plan. For heavy users, you'll burn through the included credits within the first week. Additional credits are purchased at $0.01 each.

Our week cost $65.34 in credits on top of the base subscription. If we ran Cowork at that intensity every week, that's roughly $260/month in credits per user, plus the $30/month base. For a five-person team, you're looking at approximately $1,450/month total.

Is that worth it? It depends entirely on the value of the time saved. If Cowork saves each person 5–8 hours per week of drafting, formatting, and synthesis work, and those hours are worth $50–$100/hour in equivalent labor cost, the math works. If the tasks Cowork handles are things you'd do quickly anyway — a five-minute email, a ten-minute document — the credit cost exceeds the time saved.

The sweet spot is complex tasks that take a human 30+ minutes but can be directed in a prompt. Financial models, long-form documents, multi-source synthesis. The credit cost per task is higher, but the time savings justify it. Simple tasks are a money-loser on the credits model.

Copilot Cowork vs Claude Cowork: the real comparison

The obvious comparison is to Anthropic's Claude Cowork, which launched earlier in 2026. They share a name and a concept, but they're fundamentally different products.

The comparison reveals a clear tradeoff. Copilot Cowork wins on native context — it knows your email history, your meeting transcripts, your document library without any setup. Claude Cowork wins on capability and flexibility — it can use your computer, access the web, integrate with external tools, and take autonomous actions.

For teams that live inside M365 and need AI to enhance their existing workflow without context-switching, Copilot Cowork is the better fit. For teams that need AI to do things across their entire tool stack — not just within one suite — Claude Cowork is more capable.

The pricing models tell different stories too. Copilot Cowork's credit-based pricing means costs scale with usage, which can be unpredictable. Heavy weeks are expensive. Light weeks are cheap. Claude Cowork's flat $20/month is predictable and includes unlimited use within the subscription.

At MojoStudio, we use both. Copilot Cowork for tasks that are deeply tied to M365 data (meeting prep from Teams transcripts, email drafting with full thread context). Claude Cowork for tasks that require cross-tool access, computer use, or autonomous execution. The two tools complement each other more than they compete.

Who should actually use Copilot Cowork

Copilot Cowork is a good fit for specific team profiles. It's not a universal solution, and pretending otherwise would be dishonest.

Enterprise teams fully committed to M365. If your organization lives in Outlook, Teams, Word, Excel, and PowerPoint — and many enterprises do — Cowork's native context integration is genuinely valuable. The ability to pull from meeting transcripts, email threads, and shared documents without manual context loading saves real time.

Knowledge workers who do heavy writing and analysis. If your week is full of emails, reports, proposals, and documents, Cowork's drafting and synthesis capabilities will save meaningful hours. The financial model task on Wednesday was the strongest proof of this — Cowork produced a genuinely production-ready output for a task that would have taken a human several hours.

Teams with predictable M365-centric workflows. If your tools don't extend far beyond the Microsoft ecosystem, the "no third-party integrations" limitation won't bite you. If you're already using Power Automate, Power BI, and the M365 suite, Cowork fits naturally.

Organizations with compliance requirements. Since Cowork works within M365, data stays within your Microsoft tenant. For teams in regulated industries where data residency and audit trails matter, this is a meaningful advantage over external AI tools.

Who should not use Copilot Cowork

Multi-tool teams. If your workflow spans Notion, Figma, Slack, Linear, GitHub, and a dozen other SaaS tools, Cowork's M365-only limitation will be frustrating. You'll spend more time copying context into M365 than you'll save from the AI assistance.

Teams needing autonomous execution. If you want AI that can actually do things — send emails, update CRM records, move tickets, deploy code — Cowork isn't it. It's a drafting tool, not an execution tool. Every action requires manual approval.

Budget-sensitive teams. The credit model makes costs unpredictable. For startups and SMBs watching every dollar, a flat-rate tool like Claude Cowork ($20/month with no credit limits) is more predictable and often cheaper.

Design-heavy workflows. If your output needs to be visually polished — pitch decks, marketing materials, client-facing documents — Cowork's text-only output means significant post-processing. The structure is good, but the visuals aren't there.

The Indian enterprise angle

For Indian enterprises evaluating Copilot Cowork, there are specific considerations that don't show up in the global marketing materials.

Pricing in INR context. At $30/user/month (enterprise) plus credits, Copilot Cowork costs roughly ₹2,500–₹3,000 per user per month at current exchange rates, before credits. For a 50-person team, that's ₹1.25–₹1.5 lakh per month in base costs alone, plus credits. At ₹5,500+ per user per month (our test's credit spend extrapolated), the total cost for a 50-person team approaches ₹2.75 lakh per month. That's a significant budget line item for Indian enterprises, even large ones.

M365 penetration. India has strong M365 adoption in enterprise segments, particularly in IT services, banking, and large corporations. For these organizations, Cowork's native integration is immediately useful. For startups and SMBs running on Google Workspace or a mix of tools, Copilot Cowork isn't relevant.

Data residency. Microsoft's India data centers (Pune, Chennai, Hyderabad, Mumbai) handle M365 data residency requirements for Indian enterprises. This is important for organizations in regulated sectors — banking, insurance, government contractors — where data cannot leave Indian borders. Copilot Cowork inherits these data residency guarantees because it operates within the M365 tenant.

Network and infrastructure. Indian enterprises with distributed teams across tier 1, 2, and 3 cities may face latency issues with Cowork's model calls, which route through Microsoft's global infrastructure. In our testing, most tasks completed in 10–30 seconds, but complex tasks (the financial model, the strategy deck) occasionally took 45–60 seconds. For teams on slower connections in smaller cities, this latency could compound across a day of heavy use.

The competitive landscape in India. Indian enterprises are also evaluating tools from Zoho (which has its own AI features deeply integrated with its SaaS suite), Google's Gemini integration in Workspace, and standalone tools like Claude. The M365 lock-in that makes Cowork convenient for M365 shops also makes it irrelevant for the significant portion of Indian enterprises running on Google Workspace.

Localization and language support. India's enterprise communication happens in English and multiple regional languages. Cowork's language support is currently English-first, with Hindi and a limited set of other Indian languages supported for input but not always for high-quality output. For teams that draft content in Hindi, Tamil, Telugu, or other regional languages, Cowork's output in those languages is functional but noticeably weaker than its English output. This matters for internal communications in organizations where regional language documentation is standard.

The ROI question for Indian IT services. Indian IT services companies — TCS, Infosys, Wipro, HCL, and mid-tier firms — represent a massive potential market for Cowork. These organizations have thousands of employees doing exactly the kind of work Cowork handles: client emails, status reports, proposal documents, meeting summaries. At scale, even small time savings per employee compound into significant value. The challenge is the credit model: an IT services firm with 5,000 knowledge workers running Cowork heavily could see credit costs exceeding ₹1 crore per month. The ROI conversation becomes very different at that scale compared to a 20-person startup.

MojoStudio verdict after one week

After a full week of real office work, here's where we landed on Copilot Cowork.

It's a good tool with a narrow sweet spot. Cowork excels at tasks that are deeply tied to M365 data — meeting prep, email drafting with full context, cross-document synthesis, and Excel modeling. For these tasks, it saves real time and produces output that's often ship-ready or close to it.

The multi-model architecture is genuinely better. The Claude + GPT combination, with the critique loop, produces higher quality output than single-model alternatives for complex tasks. The Wednesday financial model was the strongest evidence of this. The two-model review caught errors that a single model would likely have missed.

The credit model is the biggest risk. Unpredictable costs are a hard sell in enterprise budgeting. Teams that use Cowork heavily will see significant credit spend, and the lack of a predictable flat rate makes it difficult to forecast. Microsoft could address this with a credit-all-inclusive tier, but for now, the a la carte pricing favors light users over power users.

The M365-only limitation is a dealbreaker for many teams. If your workflow extends beyond Microsoft's ecosystem — and for most modern teams, it does — Cowork's inability to access external tools is a hard wall. This isn't a gap that will be fixed with updates; it's a fundamental architectural decision.

The approval requirements slow things down. The safety-first approach to actions is understandable but frustrating. For Cowork to truly accelerate work, it needs to be able to execute, not just draft. The current model requires you to be the execution layer, which limits the time savings. There's a tension between safety and utility that Microsoft hasn't resolved yet, and it's the single biggest friction point in day-to-day use.

Session memory is limited. As mentioned in the setup, Cowork doesn't persist context across sessions. If you're working on a multi-day project, you'll need to re-establish context each time you open a new Cowork session. For long-form documents or projects that span a week, this means either doing everything in one sitting or accepting the overhead of re-loading context. This is an area where standalone tools like Claude Cowork have an advantage — they can maintain project context across sessions through file uploads and conversation history.

Our recommendation

Use Copilot Cowork if:

• Your team is fully committed to M365
• Your tasks are primarily writing, analysis, and document creation
• You need native context from emails, meetings, and shared documents
• You're in a regulated industry that requires M365 data residency

Don't use Copilot Cowork if:

• Your workflow spans multiple SaaS tools
• You need AI that can take autonomous actions
• You need predictable, flat-rate pricing
• Your output requires significant visual design

For teams that need both, our approach at MojoStudio works well: Copilot Cowork for M365-native tasks, Claude Cowork for everything else. They complement each other more than they compete, and the combined cost is still less than hiring a junior assistant for the work these tools handle. We explored this multi-tool approach in more detail in our Claude Code vs Codex comparison, where we tested two AI agents on the same real task — the principle of matching the right model to the right job applies here too.

The honest bottom line: Copilot Cowork is Microsoft's best AI product to date, but "best" doesn't mean "universal." It's a strong tool for a specific use case, and teams that fit that use case will get real value. Teams that don't fit should look elsewhere rather than forcing their workflow into M365.

Frequently asked questions

How is Copilot Cowork different from regular Microsoft Copilot?

Regular Copilot answers questions and performs simple actions within M365 apps. Copilot Cowork is a collaborative mode that works across multiple documents and sessions, uses the multi-model architecture (Claude for planning, GPT for drafting), and includes the critique review loop. Think of regular Copilot as a smart search-and-summarize tool, and Cowork as a drafting partner that can work on complex, multi-step tasks.

What are Copilot Credits and how do they work?

Copilot Credits are a consumption-based pricing unit at $0.01 per credit. Different tasks consume different amounts of credits based on complexity — a simple email draft might use 100–150 credits ($1–$1.50), while a complex Excel model might use 2,000+ credits ($20+). Credits are purchased on top of your base Copilot subscription. Microsoft includes a pool with your subscription, but heavy users will exceed the included allocation quickly.

Can Copilot Cowork replace a human assistant?

No. Cowork is a drafting and analysis tool, not an execution tool. It can't send emails, update CRM records, schedule meetings, or take any autonomous action. It produces output that requires human review and approval. Think of it as a very fast first-draft machine, not a replacement for human judgment or execution.

Does Copilot Cowork work with Google Workspace?

No. Copilot Cowork is exclusive to Microsoft 365. If your team uses Google Workspace, you'd need to evaluate alternatives like Claude Cowork, Google Gemini in Workspace, or other AI assistants that support Google's ecosystem.

How does Copilot Cowork handle data privacy?

Copilot Cowork operates within your M365 tenant, inheriting Microsoft's data residency and privacy guarantees. For enterprise customers with Microsoft 365 E3/E5, your data stays within your tenant and is not used to train AI models. Indian enterprises can ensure data stays in Indian data centers through Microsoft's India region options.

What's the minimum commitment to try Copilot Cowork?

You need a Microsoft 365 subscription with Copilot enabled ($30/user/month enterprise, $21/user/month SMB). There's no separate trial for Cowork specifically — it's available to anyone with a Copilot-enabled M365 subscription. The included credit pool lets you test Cowork tasks before purchasing additional credits.

Can Copilot Cowork access my local files?

No. Cowork can only access files and data within your M365 tenant — documents stored in OneDrive or SharePoint, emails in Outlook, transcripts in Teams, and data in Excel Online. It cannot access your local file system, files on your desktop, or data in third-party applications.

Is Copilot Cowork worth it for small teams?

It depends on your workflow. For a small team (2–5 people) that lives entirely in M365 and does heavy writing and analysis, the time savings can justify the cost. For a small team that uses a mix of tools and doesn't do significant M365-based document work, the credit costs will likely exceed the value. A flat-rate tool like Claude Cowork at $20/month may be more cost-effective for small teams with diverse tool stacks.

How does Copilot Cowork compare to ChatGPT for office work?

ChatGPT is a general-purpose AI that requires manual context loading — you paste in your data, it generates output, you copy it back. Copilot Cowork has native access to your M365 context (emails, meetings, documents) and generates output directly within M365 apps. For tasks that are deeply tied to M365 data, Cowork is more convenient. For general-purpose tasks, creative work, or tasks requiring external data, ChatGPT is more flexible. They serve different use cases.

Can I use Copilot Cowork and Claude Cowork together?

Yes, and we recommend it. At MojoStudio, we use Copilot Cowork for M365-native tasks (meeting prep, email drafting, Excel modeling) and Claude Cowork for tasks that require cross-tool access, computer use, or autonomous execution. The two tools have complementary strengths, and using both gives you broader coverage than either one alone.