Mihata
AI Usage2026.05.15

Microsoft 365 Copilot Guide: Pricing & SME Use Cases

"Does our company actually need Microsoft 365 Copilot?" This is one of the most common questions we hear from IT administrators and SME executives. The hesitation usually comes down to three things: unclear differentiation from ChatGPT or Gemini, price tag concerns, and opaque differences from the free Copilot.

The short answer: for companies that already run on Microsoft 365, Copilot adds value on a different axis from ChatGPT or Gemini. It is currently almost the only AI product that can directly read your tenant data—email, files, meetings, chats—within the security boundary.

This article organizes the official information available as of May 2026: pricing, concrete use cases in Word, Excel, Outlook, and Teams, when to choose Copilot versus ChatGPT or Gemini, the real story on data handling, and a rollout plan suited to SMEs.

What Microsoft 365 Copilot Is—Distinguishing the Three Products

Microsoft has several products with "Copilot" in the name. In a business context, three matter, and they differ significantly in capabilities and licensing.

1. Microsoft 365 Copilot Chat (free)

A chat-style Copilot available at no extra charge to corporate users with an eligible Microsoft 365 subscription. It is the successor to the old "Bing Chat Enterprise" and "Microsoft Copilot (with commercial data protection)."

  • Research, summarization, drafting, translation, and brainstorming based on web information
  • Prompts and responses stay inside the tenant boundary and are not used to train public models (officially documented)
  • Can reference files uploaded in the moment and content displayed on screen

Crucially, it does not automatically read your organization's email, OneDrive, SharePoint, or Teams data. Its sources are limited to the web and whatever the user hands it directly.

2. Microsoft 365 Copilot (paid add-on)

This is the paid add-on that this article focuses on. Adding the monthly license unlocks the following capabilities on top of Copilot Chat:

  • Uses Microsoft Graph to access tenant data—email, chats, files, meetings—as context
  • Lives inside Word, Excel, PowerPoint, Outlook, Teams, OneNote, and Loop and edits documents directly
  • Lets you call custom agents built with Agent Builder or Copilot Studio inside daily work

The decisive difference from Copilot Chat is whether the AI can reach into your own organizational data. The cleaner your internal data is, the more value you get.

3. Microsoft Copilot Studio

Rather than "using a Copilot," this is a low-code platform for building your own Copilots—agents and chatbots. Common builds include internal knowledge FAQ bots, Teams reception bots, and automation agents that connect to business systems. Since September 2025, billing has changed from a per-message basis to Copilot Credits.

Pricing and Licensing—Official Prices as of May 2026

Pricing in this category changes frequently, so always re-check the official page for the latest. The numbers below are the prices and conditions Microsoft published officially as of May 2026, exclusive of Japan consumption tax.

Microsoft 365 Copilot (enterprise)

Item

Detail

Price (annual commitment)

JPY 4,497 per user per month equivalent (annual subscription, auto-renewing; Japan-market pricing)

Required base license

An eligible Microsoft 365 plan (e.g., E3/E5, Business Basic/Standard/Premium and others)

Position

Add-on layered on an existing Microsoft 365 contract

Microsoft 365 Copilot Business (up to 300 users)

Item

Detail

Limited-time annual price

JPY 2,698 per user per month (campaign running December 1, 2025 to June 30, 2026; Japan-market pricing)

Standard annual price

JPY 3,148 per user per month (Japan-market pricing)

Monthly billing

JPY 3,778 per user per month (Japan-market pricing)

Eligibility

Up to 300 users; an eligible Microsoft 365 plan is required separately

In other words, the total cost is your existing Microsoft 365 plan + the Copilot license. The misconception that "Copilot can be bought standalone" comes up often—watch for it.

Copilot Studio

The tenant-level capacity pack is 25,000 Copilot Credits per month at USD 200 per month. Pay-as-you-go and prepaid options are also offered. Prices, SKUs, and campaigns can change without notice, so always re-confirm via the official Microsoft pricing page and your reseller.

Representative Use Cases by Application

Copilot's real value comes from natural-language instructions that drive your business apps directly to edit documents—not asking a separate chatbot in another browser tab.

Word

  • Draft generation: "Based on last week's meeting notes (OneDrive) and the attached quote, write a one-page proposal."
  • Rewriting: Select a passage and instruct "make it more polite" or "convert to bullet points."
  • Long-document summarization: From a 30-page spec, extract "the five key points" or "only the risk clauses."

Excel

  • Formula generation: "Write an XLOOKUP that pulls rows from columns C through E that match the condition."
  • Trend analysis: "What do the top 10 have in common?" or "Highlight outliers."
  • Charts and pivot tables: "Stacked column chart comparing product-category revenue by quarter."

This is the area where mid-career staff—who currently search the web every time they need VLOOKUP or a pivot table—see the largest productivity lift.

PowerPoint

  • Auto-generation from a Word document: Turn an existing proposal into 10 slides.
  • Design conformance: "Match our internal template" or "Split text-heavy slides into two."
  • Speaker notes: Auto-add presenter scripts to each slide.

Copilot is excellent at producing a five-minute first draft. For final polish, plan to keep a human in the loop on design.

Outlook

  • Inbox summarization: "Show only items requiring action, sorted by priority."
  • Reply drafting: "Draft a reply that takes the attached quote into account, polite tone."
  • Long-thread catch-up: "Pull out the open issues and unresolved items only."

For sales professionals and executives where email is the bottleneck, this is where ROI shows up fastest.

Teams

  • Meeting summary and action extraction: Right after a meeting, get "decisions / open items / action items by owner" automatically.
  • Mid-meeting catch-up: "Summarize what has been discussed so far in a three-minute read."
  • Chat summarization: "Show only requests addressed to me" or "Show unresolved questions."

Combined with meeting transcription, the entire "writing meeting minutes" task essentially disappears.

How It Differs from ChatGPT and Gemini—and How to Combine Them

"We already have ChatGPT or Gemini—why also pay for Copilot?" The use cases overlap on the surface but each tool has a different sweet spot.

Aspect

Microsoft 365 Copilot

ChatGPT

Gemini

Strongest information source

Tenant data inside the organization

Web plus what you hand it; broad general knowledge

Web search and Google Workspace data

Where it lives

Inside Word, Excel, Outlook, Teams

Mostly browser and dedicated apps

Inside Gmail, Docs, Sheets

Strengths

Document drafting and summarization grounded in internal context

Advanced reasoning, code generation, general-purpose tasks

Workspace integration and web search

Best fit

Companies running on Microsoft 365

Heavy individual research, prototyping, or development

Companies running on Google Workspace

  • Microsoft 365 Copilot for tasks that draw on your own documents, email, and meetings (the only option that crosses into internal data)
  • ChatGPT for web research, hard reasoning, prototyping, and programming
  • Gemini for organizations centered on Google Workspace

For more on each tool, see our deep comparison of ChatGPT, Claude, and Gemini.

Data Handling and Security

"Will our company data get used to train AI?" Microsoft has made explicit commitments here, so let us work from facts rather than rumor.

1. Prompts, responses, and Graph data are not used to train public models

Microsoft Learn's official document Data, Privacy, and Security for Microsoft 365 Copilot states that "prompts, responses, and data accessed via Microsoft Graph are not used to train the foundation LLMs that Microsoft 365 Copilot uses." This commitment applies across commercial Microsoft 365 contracts.

2. Data stays inside the tenant and service boundary

Inputs, retrieved data, and generated responses all remain within the Microsoft 365 service boundary. The product is also compliant with GDPR and the EU Data Boundary.

3. It follows existing permissions (important)

Copilot's biggest strength is also its biggest pitfall. Copilot only references data the user actually has access to. SharePoint and OneDrive access controls apply directly. The implication: at companies with loose permissions, Copilot may inadvertently summarize confidential files that someone happens to have access to. Treat a Copilot rollout as a natural opportunity to audit SharePoint permissions.

4. Enterprise Data Protection applies even to free Copilot Chat

Even the free Copilot Chat, when used by enterprise users, has Enterprise Data Protection (EDP) applied by default and stays within the tenant boundary. The assumption that "free means weaker security" is incorrect.

SME Rollout Steps

"Buy the licenses and hand them out" does not deliver results. Copilot is a tool whose adoption needs to be designed as an organizational change.

STEP 1: Get the prerequisites in order (1–2 weeks)

  • Confirm the existing Microsoft 365 contract (Business Standard or higher, or E3/E5)
  • Audit data placement and permissions in SharePoint, OneDrive, and Teams (especially company-wide and "Everyone" shares)
  • Apply appropriate sensitivity labels (Microsoft Purview Information Protection) to confidential documents

STEP 2: Pilot small with one department (1–2 months)

  • Start with 10–20 users in a department that lives in email, documents, and meetings—sales, back office, or strategy
  • Make "touch it for at least 10 minutes a day" an operational rule
  • Every two weeks, share "what worked / what did not" internally

The goal of this phase is to discover the prompt patterns that work for your specific business, not to circulate generic "100 useful tips" lists, which rarely take root.

STEP 3: Measure and expand (3–6 months)

  • Measure Before/After on "document creation time," "email handling time," and "meeting-notes time"
  • Expand to additional departments using both quantitative and qualitative signals
  • Recognize that some tasks are faster without Copilot—this is normal

STEP 4: Company-wide rollout and advanced use (6+ months)

  • Deploy to all employees while heavy users build custom agents in Copilot Studio
  • Move into company-specific work: internal knowledge search, HR FAQ, contract drafting support
  • Dashboard usage and ROI to optimize how licenses are distributed

For an end-to-end view of process improvement, see our complete guide to AI-driven business efficiency.

Failure Patterns—Three Pitfalls That Trigger Buyer's Remorse

Pitfall 1: Confusing "anyone can use it" with "everyone will use it"

Copilot understands natural English, but the bigger problem is that work still happens without it. "Not using it" easily becomes the default. Top-down operating rules—"draft meeting notes with Copilot first"—are needed to drive consistent use.

Pitfall 2: Prompt skill varies wildly across the organization

With any generative AI, output quality can differ by 10x between users of the same tool. Internal study sessions, an internal wiki of "prompts that work," and monthly case-sharing meetings are how organizations build a long-term ROI baseline by making prompt skill a learnable capability.

Pitfall 3: No measurement framework

If everything stays anecdotal, the next license-renewal cycle will inevitably ask "do we really need this?" Pick at least three operational metrics close to the work—document creation time, email handling time, meeting-notes time—and track Before/After. Going one step further to ask "is the time saved being reinvested in higher-value work?" is what justifies the spend at the executive level.

How Mihata Helps

Mihata supports Copilot rollouts from the position of "making adoption stick" rather than "selling licenses." We help with optimal license configuration, SharePoint permission audits, building an internal "prompts that work" library, custom agent development with Copilot Studio, and the operating design for using Copilot alongside ChatGPT or Gemini—all in one engagement.

Summary

  • Start by cleanly distinguishing the three products: free Copilot Chat, paid Microsoft 365 Copilot, and Copilot Studio.
  • As of May 2026, enterprise pricing is JPY 4,497 per user per month, and Copilot Business is JPY 2,698 per user per month under a limited-time annual offer (Japan-market pricing). An eligible Microsoft 365 plan is required separately.
  • The real differentiator is that Copilot reaches into your internal data from inside Word, Excel, Outlook, and Teams. In practice it pairs well with ChatGPT or Gemini.
  • Data stays inside the tenant boundary and is not used to train public models (officially committed). However, it follows existing SharePoint permissions, so plan a permission audit alongside the rollout.
  • Adopt in four steps: prerequisites → pilot → measurement → company-wide. "Buy and forget" does not work.

For companies whose work runs on Microsoft 365, the question is no longer "yes or no" but "when and how". Audit your data environment and license posture, then start small with a pilot department.

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