Microsoft Copilot
Microsoft Copilot is AI threaded through the Microsoft stack: a free assistant in Windows, Edge and the Copilot app, and a licensed Microsoft 365 Copilot that works inside Word, Excel, PowerPoint, Outlook and Teams on your organisation's own files, mail and meetings.
The licensed tier is the substance. Grounded in tenant content under existing permissions and enterprise data protection, it drafts documents, builds and explains spreadsheet analyses, recaps meetings and answers questions from the company's own knowledge. Copilot Studio extends it with custom agents for repeatable workflows.
The trade is governance over flair. Output starts corporate and functional rather than beautiful, and the licence only pays back where Office is genuinely the centre of work.
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Model
- Hosted service
- Checked
- August 2026
Prices, plans and model versions change fast: this is a mid-2026 snapshot; check the tool's official site for the latest.
Best for
- AI assistance inside Word, Excel, PowerPoint, Outlook and Teams
- Working over your own tenant's files, mail and meetings
- Enterprise data protection and permissions-aware answers
- Meeting recaps and follow-ups native to Teams
- A free assistant in Windows and Edge to start with
Less suited to
Most of Copilot's value sits behind a Microsoft 365 Copilot licence on top of a qualifying plan; the free assistant is a general chat companion, not the in-app, tenant-grounded product. Outside Microsoft-centric organisations the integration advantage largely disappears.
It is also not the pick for design-led decks, heavy statistics or the strongest prose voice: it is the governed workhorse inside Office rather than the specialist in any single craft.
Costs & data, in short
Microsoft 365 Copilot is an enterprise add-on billed per user annually on top of a base M365 licence, so it is never the only line on the invoice; organisations under 300 users can use Copilot Business instead.
Copilot grounds in your own data and, at the enterprise/business tier, does not train foundation models on it; still, every Copilot-generated figure or narrative needs human review before it informs decisions.
Plans
| Microsoft 365 Copilot Business | from $21per user, per monthbilled annually; $25.20 per user per month if billed monthly |
|---|---|
| Microsoft 365 Business Standard with Copilot | $23.50per user, per monthbilled annually; $28.20 per user per month if billed monthly |
| Microsoft 365 Copilot | $30per user, per monthbilled annually |
| Microsoft 365 Business Premium with Copilot | $32per user, per monthbilled annually; $38.40 per user per month if billed monthly |
Prices as of August 2026. Prices and plans change regularly. Check with the provider before you buy.
In practice
How Microsoft Copilot is used, area by area.
Jobs
Consulting & strategy
Copilot fits consulting's deliverable reality
Copilot fits consulting's deliverable reality. Word documents, PowerPoint decks and Excel models all work under enterprise data protection, and drafting proposals, digesting client material and turning findings into slides happen inside the tools clients expect, with tenant-level security that survives procurement review. That is the fit where data protection is non-negotiable. Boutique firms outside enterprise Microsoft agreements pay for governance they may not need, and the licence-per-seat arithmetic bites at small scale. Design-led decks are also not the strength, since Copilot's PowerPoint drafts start functional and showpiece work still goes through a designer or a dedicated deck tool.
Example tasks
- Draft client deliverables in Word grounded in engagement files
- Build first-pass analysis in the live Excel model
- Generate a working deck from the findings document
- Recap client calls in Teams with actions and owners
- Answer questions from the engagement's SharePoint corpus
Limits
Boutique firms outside enterprise Microsoft agreements pay for governance they may not need, and the licence-per-seat arithmetic bites at small scale. Design-led client decks are also not the strength: Copilot's PowerPoint drafts start functional, and showpiece work still goes through a designer or a dedicated deck tool.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| GeminiFull comparison → | Copilot fits consulting's deliverable reality, drafting proposals in Word, turning findings into PowerPoint and holding client material under tenant-level security that survives procurement review | the team runs on Google Workspace and deliverables land in Docs and Slides instead |
| ChatGPTFull comparison → | Copilot fits consulting's deliverable reality, drafting proposals in Word, digesting client material in place and turning findings into PowerPoint under tenant-level security that survives procurement review | the task is framing the problem and turning analysis into a recommendation rather than producing the artefact |
| PerplexityFull comparison → | Copilot is where client deliverables are produced under enterprise data protection, drafting proposals in Word, digesting client material in place and turning findings into PowerPoint with tenant-level security that survives procurement review | the research will be challenged and every claim needs a citation |
| Claude CoworkFull comparison → | Copilot has a boutique problem: a firm outside an enterprise Microsoft agreement pays for governance it may not need, and its PowerPoint drafts start functional rather than showpiece | engagement delivery rewards autonomy, scheduled runs and parallel workstreams |
| Gemini NotebookFull comparison → | Microsoft Copilot builds the first-pass analysis inside the live Excel model and recaps the client call in Teams with the actions and their owners | the engagement needs a queryable memory whose claims trace to sources a partner can check |
| Tableau AIFull comparison → | Microsoft Copilot answers questions from the engagement's own SharePoint corpus, so the material a team has already gathered becomes the thing it can interrogate | the engagement builds on the client's Tableau estate and the stakeholders need insights they can self-serve once the consultants have gone |
| KimiFull comparison → | Microsoft Copilot holds the client's material under enterprise data protection while the proposal, the deck and the model are all produced from it, which is the arrangement procurement actually reviews | the practice is preparing competitor overviews ahead of a strategy session and wants the research to arrive already shaped for it |
| ClaudeFull comparison → | Microsoft Copilot generates a working deck straight from the findings document, inside the format the client expects it in | an engagement needs hypotheses developed, workplans built and interview guides written early on |
| GranolaFull comparison → | a question gets answered out of the engagement's own document corpus, so what the team gathered rather than what it said is the thing being interrogated | an engagement runs on conversations: discovery interviews, workshops, steering calls and expert sessions whose detail must survive into the deliverable |
| Julius AIFull comparison → | the findings document becomes a working deck in the format the client expects to receive it in, without anything being rebuilt to get there | the engagement needs quick quantitative answers and the analyst is booked |
Data & analytics
Copilot handles the everyday end of data work inside Excel
Copilot handles the everyday end of data work inside Excel. It suggests formulas, builds pivot tables, spots patterns and drafts charts in the files your organisation already runs on, under Microsoft's enterprise data protection, so the analysis happens in place without moving the data. It serves analysis that lives in Excel where the organisation is licensed for Microsoft 365 Copilot. Heavier modelling belongs in the Fabric and Power BI layer above it. Serious statistical and code-backed work outgrows it quickly towards notebooks and dedicated BI, and its suggestions need the same checking as a colleague's formula before anything depends on them.
Example tasks
- Generate and explain formulas in the open workbook
- Build pivot tables and first-pass charts from a prompt
- Spot patterns and outliers in selected ranges
- Summarise a dataset's shape and caveats for a handover
- Draft the commentary that goes with the numbers
Limits
Serious statistical work, reproducible pipelines and code-backed analysis outgrow it quickly; notebooks and BI platforms remain the analyst's centre. Copilot is the everyday layer, and its suggestions need the same checking as a colleague's formula before anything depends on them.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ChatGPTFull comparison → | Copilot works the analysis inside the live Excel workbook, suggesting formulas, building pivot tables and drafting charts under enterprise data protection | you want the stronger raw analyst on uploaded data, with code and reasoning out in the open |
| ClaudeFull comparison → | Copilot handles the everyday end of data work inside Excel, suggesting formulas, building pivot tables, spotting patterns and drafting charts in the files your organisation already runs on, under enterprise data protection | the task needs interpretation and clear communication as much as calculation |
| Google GeminiFull comparison → | Copilot works the analysis inside the live Excel workbook, suggesting formulas, building pivot tables and drafting charts without moving the data, under Microsoft's enterprise data protection | the work sits in Google's rails and the analysis should land in Sheets instead |
| GammaFull comparison → | Copilot handles the everyday end of data work inside Excel, suggesting formulas, building pivot tables and drafting charts in place so the data never moves, under enterprise data protection | the analysis is done and the readout that carries it into a decision meeting is what is missing |
| Tableau AIFull comparison → | Microsoft Copilot summarises a dataset's shape and its caveats for whoever inherits it, and drafts the commentary that has to run alongside the numbers | the analytics already run on Tableau and a KPI's owner should be told in plain language that something moved, rather than waiting for anyone to open a dashboard |
| Julius AIFull comparison → | a dataset's shape and its caveats get summarised for whoever inherits it, which is the part that usually goes missing when work changes hands | you have a dataset and questions, and want charts and analysis without writing the code yourself |
Education & training
Copilot meets education where institutions already are
Copilot meets education where institutions already are: Microsoft 365. Lesson materials draft in Word, course decks assemble in PowerPoint, admin email shrinks in Outlook, and institutional licensing puts governed AI in front of staff without new procurement, while the free Copilot chat covers lighter needs. It suits institutions on Microsoft 365 that want AI inside their existing governance. Institutions on Google Workspace get the same convenience from Gemini. The licence question is sharper again on education budgets, and student-facing use needs local policy care, since assessment integrity and data-handling rules are theirs to design, not the tool's.
Example tasks
- Draft lesson materials and handouts in Word
- Turn course notes into a first-pass PowerPoint
- Summarise long readings for planning and differentiation
- Recap staff meetings in Teams with actions
- Answer questions from the institution's own policy documents
Limits
Institutions on Google Workspace get the same convenience from Gemini, and the licence question is sharper again on education budgets. Student-facing use needs local policy care: assessment integrity and data-handling rules are the institution's to design, not the tool's.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| GeminiFull comparison → | Copilot meets education where Microsoft 365 institutions already are, drafting lesson materials in Word, assembling course decks in PowerPoint and putting governed AI in front of staff without new procurement | your institution runs on Google and materials live in Docs and Slides |
| ChatGPTFull comparison → | Copilot meets education where institutions already are, drafting lesson materials in Word, assembling course decks in PowerPoint and shrinking admin email in Outlook, with institutional licensing putting governed AI in front of staff without new procurement | there is no institutional stack to work inside |
| ClaudeFull comparison → | Copilot puts governed AI in front of staff without new procurement, with lesson materials drafting in Word and course decks assembling in PowerPoint inside the institution's own licensing | the work is explaining a topic at the right level and re-explaining it until it lands |
| GammaFull comparison → | Copilot works inside the institution's own Microsoft 365, drafting lesson materials in Word and assembling course decks in PowerPoint under governance that already exists | teaching decks go out weekly and formatting time is stealing preparation time |
| Gemini NotebookFull comparison → | Microsoft Copilot summarises the long readings for planning and differentiation, and answers staff questions from the institution's own policy documents | students must master a defined set of readings and every answer should trace to the page |
| Otter.aiFull comparison → | Microsoft Copilot recaps a staff meeting in Teams with the decisions and actions attached, inside the same licensed tenant where the lesson materials and the course decks already live | the teaching itself happens out loud, in a lecture or a seminar, and needs to persist as searchable text afterwards |
Finance
Copilot is finance AI that the audit trail can live with
Copilot is finance AI that the audit trail can live with. It works your live Excel models in place, drafts commentary in Word from tenant-grounded numbers, and nothing leaves the Microsoft environment your controls already cover, so what it offers finance is governed deployment rather than frontier capability. It is for finance that runs on Excel where the tenant boundary is non-negotiable. Heavy statistical work and long-document reasoning are stronger elsewhere; it is the governed workhorse rather than the sharpest analyst, and it needs well-structured workbooks. Grounded is not verified: it summarises your files faithfully, errors included, so the reconciliation habits stay exactly as they were.
Example tasks
- Build formulas and pivot analyses in the live workbook
- Draft variance and board commentary grounded in tenant files
- Summarise long financial documents inside Word
- Answer questions from the finance team's own SharePoint
- Ask questions across workbook tabs and get explained answers
Limits
Heavy statistical work and long-document reasoning are stronger elsewhere: it is the governed workhorse, not the sharpest analyst. It also needs well-structured workbooks; chaos in, chaos assisted.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ChatGPTFull comparison → | Microsoft Copilot answers questions across a workbook's tabs and explains what it found, and will answer from the finance team's own SharePoint when the number sits in a document rather than a spreadsheet | ad-hoc analysis and financial writing are eating hours the reporting stack cannot save |
| Power BI Copilot | this is the everyday Excel-and-documents layer | governed, repeatable reporting is the job |
| ClaudeFull comparison → | Copilot is finance AI the audit trail can live with, working live Excel models in place and drafting commentary in Word from tenant-grounded numbers so nothing leaves the Microsoft environment | the volume of reading is the problem and management accounts, budgets, forecasts and contracts have to go in whole |
| GammaFull comparison → | Copilot works the live Excel models in place and drafts commentary in Word from tenant-grounded numbers, so nothing leaves the environment your controls already cover | the numbers are settled and the board pack and investor update have to be drafted from one outline against a fixed date |
| PerplexityFull comparison → | Copilot keeps the work inside the tenant, running live Excel models in place and drafting commentary in Word from numbers your controls already cover | the question is about current financial reality outside the organisation and the answer has to cite its source |
| Tableau AIFull comparison → | Microsoft Copilot summarises the long financial document inside Word itself, so the filing or the contract is read in the same place the commentary about it gets written | finance reporting runs on Tableau and revenue, cost and cash metrics should announce a material move to their owners rather than sit waiting in a report |
| Google GeminiFull comparison → | Microsoft Copilot is the governed workhorse rather than the sharpest analyst, and heavy statistical work and long-document reasoning are stronger elsewhere | finance runs inside Google's rails, holding long filings and reports in context and running the analysis in the Sheets where the models already live |
| Gemini for SheetsFull comparison → | Microsoft Copilot needs well-structured workbooks, because chaos in is chaos assisted | the Google side of the grid is the answer, drafting formulas from descriptions and cleaning the messy exports under Workspace terms that keep financial data out of training |
| Julius AIFull comparison → | a question can be put across a workbook's tabs and come back explained, so the answer arrives with its reasoning rather than as a figure to take on faith | ad-hoc financial questions outnumber the hours available to script them |
Founders & entrepreneurs
Copilot makes sense for founders building on Microsoft from day one
Copilot makes sense for founders building on Microsoft from day one. Business plans draft in Word, investor decks in PowerPoint, models in Excel and a tidy inbox in Outlook, all from one licence that scales into enterprise governance later. It suits founders whose company runs on Microsoft 365 and who want AI woven through it. Founders outside the Microsoft stack have cheaper, sharper options. A licence per seat is real money at pre-revenue scale, the free assistant alone rarely justifies organising a company around one vendor, and those not already committed usually get more per pound from a standalone assistant until there is a team worth governing.
Example tasks
- Draft the business plan and investor updates in Word
- Build financial first cuts in Excel with explained formulas
- Turn the plan into a first-pass investor deck
- Recap board and team calls with decisions captured
- Answer questions from the company's growing document base
Limits
A licence per seat is real money at pre-revenue scale, and the free assistant alone rarely justifies organising a company around Microsoft. Founders not already committed to Microsoft 365 usually get more per pound from a standalone assistant until there is a team worth governing.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ChatGPTFull comparison → | Copilot makes sense for founders building on Microsoft from day one, with business plans in Word, investor decks in PowerPoint and one licence that scales into enterprise governance later | you are outside the Microsoft stack and want the broadest operating layer across functions |
| ClaudeFull comparison → | Microsoft Copilot is the choice a founder makes about the company rather than about one task, building on Microsoft from day one with business plans in Word, investor decks in PowerPoint and a licence that scales into enterprise governance later | what you need is reasoning quality over long documents and the ecosystem question can wait |
| Google GeminiFull comparison → | Microsoft Copilot is the same bundled-assistant argument from the Microsoft side, with the business plan in Word, the investor deck in PowerPoint and one licence that scales into enterprise governance as the company grows | the company's home is Workspace instead and frontier capability at startup prices comes with the tools it already runs on |
| PerplexityFull comparison → | Microsoft Copilot is the standing arrangement a Microsoft-shaped company makes once, covering the plan in Word and the deck in PowerPoint on one licence | a specific question is open and unverified, and the value is every claim arriving anchored to a source you can click before you rely on it |
| Notion AIFull comparison → | Microsoft Copilot assumes the company's documents live in Word and PowerPoint and works from there, under a licence that scales into governance later | the company's real memory is a workspace of pages the team wrote, and an assistant that knows that context is what the questions actually need |
| GammaFull comparison → | Microsoft Copilot puts the investor deck in PowerPoint where the rest of the company's documents already live, under one licence that scales into governance later | the deck is a one-off deadline rather than part of a stack decision, and generating a complete one from a prompt and sharing it as a link is the faster route |
| Canva | Microsoft Copilot is the whole-company decision, one licence covering the plan in Word and the deck in PowerPoint and scaling into governance later | the specific gap is visual rather than structural, the brand layer and the design work a young company needs before it can afford a designer |
| Cursor | Microsoft Copilot answers how the business runs rather than how the product gets built, with one licence across Word, PowerPoint and the rest, scaling into governance as the team grows | the founder writes the product themselves and wants to steer the code interactively in an environment and repo they own |
| GitHub Copilot | Microsoft Copilot is a decision about the whole company, one licence covering the business plan, the deck and the governance path as the team grows | the need is narrower and technical, adding AI to the editor a founder is already writing code in without changing the workflow around it |
| Zapier | Microsoft Copilot works inside the documents the company already writes, the plan in Word and the deck in PowerPoint, under one licence that scales into governance | the cost is the manual work between systems rather than inside them, and the widest app catalogue wired up fastest is what removes it |
| Claude CoworkFull comparison → | Copilot's licence per seat is real money at pre-revenue scale, and a founder not already committed to Microsoft usually gets more per pound from a standalone assistant until there is a team worth governing | the stronger autonomous worker matters across whatever mix of files and tools the company actually runs on |
| Gemini NotebookFull comparison → | Microsoft Copilot builds the financial first cut in Excel and explains the formulas it wrote, then captures the decisions out of a board call | the knowledge is in your documents, the interviews, research and decks, and you need to interrogate it |
| KimiFull comparison → | Microsoft Copilot answers questions from the company's growing document base, so what a young company has already written stays findable as the pile gets deeper | what is needed first is an investor or customer deck, produced quickly |
| GranolaFull comparison → | the first cut of the financial model is built in Excel with the formulas it wrote explained back, so a founder can check the working rather than take it on trust | the meeting load is outrunning your notes: investor conversations, customer discovery, hiring screens and advisor catch-ups stacked through the week |
Getting started
Copilot is many people's lowest-friction first AI because it is already there
Copilot is many people's lowest-friction first AI because it is already there. It lives in Windows, Edge and the Office apps where work already happens, with no new account and nothing to install. The free tier answers questions and drafts capably from familiar surroundings, which keeps the learning curve gentle, and for workplaces that live in Word, Excel, Outlook and Teams the licensed Microsoft 365 tier grounds the assistant in the organisation's own files. It is for starting with AI inside tools you already know, with habits that carry directly to a dedicated assistant later. If your work does not run through Office, start elsewhere: the in-app, tenant-grounded value is the product, and the free chat on its own is fine rather than distinctive. Dedicated assistants offer more depth once habits form.
Example tasks
- Ask everyday questions in Windows or Edge without a new account
- Draft and rewrite email in Outlook
- Summarise a long document you have been sent
- Create images for a document or post
- Ask what happened in a meeting you missed
Limits
If your work does not run through Office, start elsewhere: the in-app, tenant-grounded value is the product, and the free chat on its own is fine rather than distinctive. Beginners in Google-centred workplaces will find the equivalent already waiting in their own suite.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ChatGPTFull comparison → | Copilot is the lowest-friction first AI because it is already there, in Windows, Edge and the Office apps, with no new account and nothing to install | you want the fuller general assistant to grow into once the habit forms |
| ClaudeFull comparison → | Copilot is the lowest-friction first AI precisely because there is nothing to adopt: it is in Windows, Edge and the Office apps already, with no new account, nothing to install, and a free tier that answers and drafts from surroundings a beginner recognises | the work does not run through Office and you want a tool that explains its reasoning as you learn |
| PerplexityFull comparison → | Copilot lets a beginner start in Edge or Windows with real questions from real work, learning inside surroundings that need no explanation | the point of starting is to build the checking habit, with a direct answer and numbered sources rather than an assistant you have to trust |
| KimiFull comparison → | Microsoft Copilot builds habits that carry directly to a dedicated assistant later, and will say what happened in a meeting you missed while you are still working out what to ask it | the free tier should let a newcomer learn every surface before anything is spent |
| Google GeminiFull comparison → | Microsoft Copilot is worth starting with only if the work runs through Office, because the in-app, tenant-grounded value is the product and the free chat on its own is fine rather than distinctive | the assistant should be talked to by voice on the phone already in your pocket, and make an image to illustrate the idea while you are still exploring it |
+5 more jobsFewer jobs
Legal & compliance
Copilot suits legal teams for whom confidentiality decides everything
Copilot suits legal teams for whom confidentiality decides everything. Enterprise data protection keeps prompts and documents inside the tenant, review and drafting happen in Word where the files live, and IT governance is already in place, so the question of where privileged material goes is answered before the work starts. Depth on long-document reasoning trails the frontier assistants, since it assists drafting rather than doing legal research or replacing counsel review. Confidentiality also depends on tenant hygiene: Copilot surfaces whatever permissions allow, so oversharing in SharePoint becomes discoverable at chat speed.
Example tasks
- Summarise long agreements into briefing form in Word
- Draft policy and process documents grounded in tenant files
- Recap matter meetings with decisions and actions
- Find the governing document across SharePoint by asking
- Tighten and standardise clause language in place
Limits
It assists legal-adjacent drafting; it is not legal research and does not replace practice tools or counsel review. Confidentiality also depends on tenant hygiene: Copilot surfaces whatever permissions allow, so oversharing in SharePoint becomes discoverable at chat speed.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ClaudeFull comparison → | Copilot suits legal teams for whom confidentiality decides everything, keeping prompts and documents inside the tenant with contract review and drafting in Word where the documents live | the work is deep long-document analysis and the stronger standalone reasoning engine matters more |
| ChatGPTFull comparison → | Copilot answers the question of where privileged material goes before the work starts, keeping prompts and documents inside the tenant under enterprise data protection while review and drafting happen in Word where the files live | the first pass across mixed legal material is the job |
| Google GeminiFull comparison → | Copilot keeps prompts and documents inside the tenant under enterprise data protection, with contract review and drafting happening in Word where the files already live and IT governance already in place | the environment is Google and very long texts need to fit in context |
| PerplexityFull comparison → | Copilot suits legal teams for whom confidentiality decides everything, keeping prompts and documents inside the tenant while review and drafting happen in Word | the question is outward-facing, on current regulations or jurisdiction differences, and a cited first pass is what is wanted |
| Gemini NotebookFull comparison → | Microsoft Copilot finds the governing document across SharePoint by asking for it, and standardises clause language in place rather than in a copy | the questions are about what these specific documents say, with the passage to prove it |
| GleanFull comparison → | Microsoft Copilot summarises a long agreement into briefing form in Word and recaps a matter meeting with the decisions and actions that came out of it, all inside the tenant the documents already live in | the question is whether search itself respects existing access controls, and being able to show that it does is the requirement |
Marketing
Copilot serves marketing teams inside corporate Microsoft environments
Copilot serves marketing teams inside corporate Microsoft environments. Campaign documents, planning decks and performance summaries draft where approvals happen, brand-sensitive material stays under enterprise protection, and Excel's Copilot works the campaign data, so governance travels with the work. It suits marketing that runs through Office workflows where governance outranks raw content volume. Specialist content platforms out-produce it and few out-govern it. Volume production, SEO tooling and brand-guardrailed generation are stronger in dedicated platforms; a distinctive voice still needs human shaping, since it drafts corporate-clean copy, and the creative pipeline mostly lives outside Office anyway.
Example tasks
- Draft campaign documents and briefs in Word
- Summarise campaign performance from Excel exports
- Turn a campaign brief into a first-pass deck
- Recap marketing meetings with actions in Teams
- Draft and polish outbound email in Outlook
Limits
Volume content production, SEO tooling and brand-guardrailed generation are stronger in dedicated platforms. Copilot drafts corporate-clean copy; a distinctive campaign voice still needs human shaping, and the creative pipeline mostly lives outside Office anyway.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| Jasper | Copilot serves marketing inside the corporate Microsoft environment, drafting campaign documents and planning decks where approvals happen and keeping brand-sensitive material under enterprise protection | the job is on-brand content produced at volume under one trained brand voice |
| ChatGPTFull comparison → | Copilot serves marketing inside the corporate Microsoft environment, drafting campaign documents and planning decks where approvals happen and working the campaign data in Excel | the constraint is range across planning, production and analysis rather than governance |
| ClaudeFull comparison → | Copilot keeps brand-sensitive material under enterprise protection and drafts corporate-clean copy where the approvals already run | a distinctive voice and the strategy behind it are what the work needs, rather than the governed location |
| Google GeminiFull comparison → | Copilot is the Office-estate answer, with governance travelling alongside the campaign document rather than added afterwards | the marketing stack is Workspace and one bundled vendor is the procurement preference |
| PerplexityFull comparison → | Copilot produces the governed artefacts of a campaign rather than the evidence behind it | the marketing decision rests on competitor activity or a market shift that has to be checked rather than recalled |
| GammaFull comparison → | Copilot builds the planning deck in PowerPoint where the approvals and the brand protection already live | decks are needed weekly, generated from a prompt in under a minute, and speed matters more than pixel control |
Product management
Copilot supports the meeting-heavy reality of product work in Microsoft shops
Copilot supports the meeting-heavy reality of product work in Microsoft shops. It recaps Teams calls with decisions and actions, drafts documents in Word, turns notes into PowerPoint and digs answers out of the organisation's files, all under enterprise data protection IT already approved, so the meeting-and-document layer of the job runs where it already lives. It is for product work in companies that run on Microsoft 365 with the licence available. Cross-tool product stacks sit outside its reach: recaps cover Teams, not the design review in Figma or the thread in Slack. Roadmap thinking and spec critique are only as good as the tenant context you can feed it.
Example tasks
- Recap product calls with decisions and action owners
- Draft PRDs and one-pagers grounded in tenant docs
- Summarise customer feedback held in the tenant
- Build roadmap update decks from the working document
- Find where a decision was made across meetings and mail
Limits
Cross-tool product stacks sit outside its reach: recaps cover Teams, not the design review that happened in Figma or the thread in Slack. Roadmap thinking and spec critique are only as good as the tenant context you can actually feed it.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ChatGPTFull comparison → | Copilot supports the meeting-heavy reality of product work in Microsoft shops, recapping Teams calls into decisions and actions and digging answers out of the organisation's files | the product stack crosses tools beyond the tenant and you want the whole product surface in one assistant |
| ClaudeFull comparison → | Copilot supports the meeting-heavy reality of product work, recapping Teams calls into decisions and actions, drafting documents in Word, turning notes into PowerPoint and digging answers out of the organisation's files under enterprise data protection | the work is structuring an ambiguous problem before engineering resources are committed |
| Notion AIFull comparison → | Copilot runs the meeting-and-document layer where a Microsoft shop already works, recapping Teams calls into decisions and actions and digging answers out of the organisation's files under enterprise data protection | the product documentation lives in Notion and you want AI grounded in it rather than a blank chat |
| PerplexityFull comparison → | Copilot works inward on the organisation's own material, recapping Teams calls, drafting in Word and digging answers out of files under enterprise data protection IT already approved | the question is about competitor moves, market sizing or pricing changes and the answer must be cited |
| Gemini for SheetsFull comparison → | Microsoft Copilot summarises customer feedback already held in the tenant and builds a roadmap update deck straight from the working document, without exporting anything to a spreadsheet first | the product data already ends up in Sheets and the job is a first-pass analysis without leaving it |
| GammaFull comparison → | Microsoft Copilot's roadmap thinking and spec critique are only as good as the tenant context you can actually feed it | product thinking should become presentable in minutes, with roadmap reviews and stakeholder updates going from outline to clean web-native pages |
| GranolaFull comparison → | where a decision was actually made can be traced across the meetings and the mail together, because both of them sit in the same tenant | your evidence lives in conversations: user interviews, stakeholder syncs and delivery reviews that need to become decisions, specs and follow-ups |
| Julius AIFull comparison → | a one-pager or a requirements document is drafted grounded in what the organisation already holds, so the writing starts from context rather than a blank page | you need analysis for a product decision and the data team's queue is two sprints long |
Productivity & personal assistant
If your day runs on Microsoft 365
If your day runs on Microsoft 365, Copilot is the assistant already in the apps. The licensed Microsoft 365 tier works in Word, Excel, PowerPoint, Outlook and Teams on your own tenant's files, mail and meetings, grounded in your content under existing permissions, so it drafts documents, builds and explains spreadsheet analyses, and recaps meetings where the work already lives. For a professional inside Microsoft, the day gets an assistant without a new app.
The substance is the licensed, tenant-grounded product rather than the free chat companion. The individual whose files, inbox and calendar are Microsoft-shaped, and who wants answers drawn from their own organisation, gains the most.
Example tasks
- Draft a document in Word or an email in Outlook on your own files
- Build and explain a spreadsheet analysis in Excel
- Get a Teams meeting recap with decisions and actions
- Ask questions grounded in your tenant's content and permissions
- Start with the free Windows and Edge assistant before licensing
Limits
Most of Copilot's value sits behind a Microsoft 365 Copilot licence on top of a qualifying plan; the free assistant is a general chat companion, not the in-app, tenant-grounded product. Outside Microsoft-centric organisations the integration advantage largely disappears.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ChatGPTFull comparison → | Copilot is the assistant already in the apps, working in Word, Excel, PowerPoint, Outlook and Teams on your own tenant's files, mail and meetings, grounded in your content under existing permissions | you are outside Microsoft and breadth across a mixed day matters more than integration |
| ClaudeFull comparison → | Copilot is already in the apps the day runs through, drafting in Word, building and explaining analyses in Excel and recapping meetings in Teams on your own tenant's content under existing permissions | a task rewards care and long context, and depth is worth leaving the suite for |
| Google GeminiFull comparison → | Copilot works inside Word, Excel, PowerPoint, Outlook and Teams on your own tenant's files, mail and meetings, grounded in your content under existing permissions | the working day sits inside Google Workspace instead, where the assistant is already in Gmail, Docs and Meet |
| GammaFull comparison → | Copilot is the assistant already in the apps, drafting in Word, analysing in Excel and recapping meetings in Teams on your own tenant's content, so the day gains an assistant without a new app | the deliverable is specifically a deck and a styled draft in under a minute is what the meeting needs |
| Slack AIFull comparison → | Copilot keeps most of its value behind a licence on top of a qualifying plan, with the free Windows and Edge assistant serving only to get a feel first | the team's working conversation is where the answers are and nothing needs installing or connecting |
| Zoom AI CompanionFull comparison → | Microsoft Copilot loses most of its integration advantage outside a Microsoft-centric organisation | your meetings live on paid Zoom and you want summaries and catch-up without adding a tool |
Sales
Copilot handles the document-and-email half of selling
Copilot handles the document-and-email half of selling. Proposals draft in Word, pipeline reviews summarise in Excel, meeting recaps arrive from Teams, and Outlook drafts follow-ups in context, so it covers the Office work around the deal where the hours actually go. It is for sales admin that lives in Office and Teams, complementing rather than replacing the sales-intelligence platforms. It does not replace the CRM or prospecting data, since grounding is your tenant, not the live market. Teams whose motion runs through dedicated sales platforms will find purpose-built AI closer to the actual work.
Example tasks
- Draft proposals in Word from account context
- Summarise account threads in Outlook before a call
- Recap sales calls in Teams with next steps
- Build pipeline summaries from Excel exports
- Draft follow-up email from the meeting content
Limits
It does not replace the CRM or prospecting data: grounding is your tenant, not the live market. Sales teams whose motion runs through dedicated sales platforms will find purpose-built sales AI closer to the actual work.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| Salesforce Einstein | Copilot handles the document-and-email half of selling, drafting proposals in Word, summarising pipeline reviews in Excel and recapping meetings from Teams | you want sales assistance grounded in the CRM record and agents working the governed customer data itself |
| ChatGPTFull comparison → | Copilot handles the document-and-email half of selling, drafting proposals in Word, summarising pipeline reviews in Excel, recapping meetings from Teams and drafting follow-ups in Outlook, which is where the hours actually go | one core offer must be adapted for different industries, decision-makers or deal stages |
| ClaudeFull comparison → | Copilot covers the Office work around the deal, with proposals in Word, pipeline reviews in Excel, recaps from Teams and follow-ups drafted in Outlook, complementing rather than replacing sales intelligence platforms | the task needs research, reasoning and personalisation rather than a template, especially in consultative and enterprise sales |
| PerplexityFull comparison → | Copilot works inside the tenant on the Office half of the deal, drafting proposals, summarising pipeline reviews and recapping meetings, since its grounding is your tenant rather than the live market | research quality decides whether outreach gets read and it has to be current |
Tasks
Data analysis & spreadsheets
Copilot in Excel is spreadsheet AI where the spreadsheets already are
Copilot in Excel is spreadsheet AI where the spreadsheets already are. It suggests and explains formulas, builds pivot tables, highlights patterns and edits the live workbook rather than a copy, under enterprise data protection, so for organisations standardised on Excel it is the default answer to this category. It suits data that lives in Excel and belongs to a licensed organisation. Transparent code-backed analysis and heavy statistics favour the Python-running assistants, since it optimises for staying inside the file rather than analytical depth. In-place edits to live workbooks also deserve version history switched on, because an AI edit you cannot roll back is a new class of spreadsheet risk.
Example tasks
- Generate and explain formulas from plain-language intent
- Build pivot tables and charts on the open workbook
- Highlight patterns and outliers in selected ranges
- Clean and restructure columns in place
- Summarise a workbook's structure and key figures for handover
Limits
Transparent code-backed analysis and heavy statistics favour the Python-running assistants; Copilot optimises for staying inside the file, not for analytical depth.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ChatGPTFull comparison → | Microsoft Copilot cleans and restructures columns in place, and summarises a workbook's structure and key figures for whoever inherits it, so the file that leaves is the file that was worked on | a hypothesis needs testing with proper statistics and the working shown, over an export rather than in the file |
| Gemini for SheetsFull comparison → | Microsoft Copilot highlights the patterns and outliers inside a selected range, so the thing worth looking at gets pointed out before anyone thinks to ask for it | the spreadsheet is a Google Sheet and should stay one |
| ClaudeFull comparison → | Copilot in Excel is spreadsheet AI where the spreadsheets already are, suggesting and explaining formulas, building pivot tables, highlighting patterns and editing the live workbook rather than a copy under enterprise data protection | the analysis needs framing and interpreting more than it needs to stay in the file |
| Tableau AIFull comparison → | Microsoft Copilot works wherever the data already sits, provided it lives in Excel, stays in Excel and the organisation is licensed for it | the analysis has to run on governed, certified data rather than exported files, with permissions and definitions attached to the answer |
| Julius AIFull comparison → | Microsoft Copilot edits the live workbook in place, which is why version history deserves switching on first: an AI edit you cannot roll back is a new class of spreadsheet risk | the analysis outgrows formula help and deserves a persistent, conversational workspace |
Meeting notes & productivity
Copilot makes Teams meetings self-documenting
Copilot makes Teams meetings self-documenting. Recaps, decisions and action items generate from the transcript; anyone who missed the call can ask Copilot what happened; and it all stays inside the tenant with retention policies applied, so for Teams organisations meeting capture stops being a separate purchase. It suits meetings that happen in Teams where notes should arrive without another vendor. Cross-platform teams lose the thread, since it captures Teams, not the Zoom call with the client. Dedicated recorders go deeper on searching the archive, and recording norms vary by audience, so external calls deserve an explicit mention, and the confident recap is not a substitute for confirming decisions with the people who made them.
Example tasks
- Generate recaps with decisions and actions after each call
- Ask what was said in a meeting you missed
- Draft the follow-up message from the meeting content
- Keep meeting records under existing retention policy
- Pull your action items from the week's meetings in one ask
Limits
Cross-platform teams lose the thread: it captures Teams, not the Zoom call with the client. Dedicated recorders also go deeper on search across the meeting archive.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| Fireflies | Copilot is native and included where Teams is standard | meetings span Zoom, Meet and Teams alike |
| OtterFull comparison → | Copilot wins on governance and zero extra vendors | lightweight capture outside the Microsoft estate |
| ChatGPTFull comparison → | Copilot makes Teams meetings self-documenting: recaps, decisions and action items generate from the transcript, anyone who missed the call can ask what happened, and none of it leaves the tenant or its retention policy | the transcript comes from somewhere else and the work is turning it into the follow-up |
| ClaudeFull comparison → | Copilot's advantage is that meeting capture stops being a separate purchase for a Teams organisation, with the recap generated in place and governed by rules IT already set | the transcript needs a careful second pass, separating what was decided from what was merely discussed |
| Google GeminiFull comparison → | Copilot is the Microsoft-estate answer, generating the recap inside Teams and keeping it under the tenant's retention | the meetings run in Google Meet instead, where notes are taken automatically and summaries land in Docs and Gmail without another vendor either |
| Notion AIFull comparison → | Copilot documents the meeting where it happened, so the recap and the transcript stay together inside Teams with governance already applied | the useful thing is not the recap but its destination, with decisions joining the project pages and actions becoming tasks in the workspace |
| GranolaFull comparison → | Microsoft Copilot captures Teams and not the Zoom call with the client, so a cross-platform team loses the thread exactly where it matters most | you attend more meetings than you can properly record and still want the notes to be yours |
| Zoom AI CompanionFull comparison → | Microsoft Copilot pulls your action items out of the whole week's meetings in one ask, and drafts the follow-up message from the meeting content | the organisation is standardised on paid Zoom and wants meeting notes from the platform itself |
Presentations & documents
Copilot produces native Office files
Copilot produces native Office files, which is its quiet advantage in this category. Word drafts ground in your own documents, PowerPoint decks generate from a file or brief and then edit like any deck, and everything saves where governance expects it, so the output is editable substance rather than a locked web format. It is built for deliverables that must be a real Word or PowerPoint file inside the organisation's flow. Design flair is not the offer: prompt-native deck tools produce more polished first drafts, and Copilot's start functional and improve with the same manual work PowerPoint always needed. Grounded drafting also inherits document sprawl, so point it at the current version, because it will summarise the outdated one just as confidently.
Example tasks
- Draft a document in Word grounded in existing tenant files
- Generate a first-pass deck in PowerPoint from a brief or document
- Rewrite and tighten sections in place with tracked changes
- Summarise long documents into briefing form
- Adjust a deck's tone and length for a new audience in place
Limits
Design flair is not the offer: prompt-native deck tools produce prettier first drafts. Copilot's decks start functional and improve with the same manual polish PowerPoint always needed.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| GammaFull comparison → | Microsoft Copilot summarises the long document into briefing form inside the file it came from, so the summary and its source stay in one place under the same governance | speed from idea to a shareable, presentable deck is the deciding factor |
| GeminiFull comparison → | Copilot is the Microsoft-side twin | the documents live in Google Docs and Slides |
| ChatGPTFull comparison → | Copilot produces native Office files, with Word drafts grounded in your own documents and PowerPoint decks generated from a file or brief that then edit like any deck and save where governance expects | the work is the argument rather than the artefact and no file format is required |
| ClaudeFull comparison → | Copilot's output is editable substance rather than a locked web format, grounding Word drafts in your own documents and saving everything where governance expects it | the material is incomplete or complex and turning it into a professional document is the work before any file exists |
| Gemini NotebookFull comparison → | Microsoft Copilot tightens sections in place with tracked changes and re-pitches a deck's tone and length for a new audience without leaving the file | the deck's substance must be prepared from the source set and cited back to the passages |
| KimiFull comparison → | Microsoft Copilot is for the deliverable that has to be a real Word or PowerPoint file inside the organisation's flow | the deck should come out of a prompt or a thread rather than out of a document that already exists |
Search & knowledge retrieval
Copilot's retrieval advantage is your own organisation
Copilot's retrieval advantage is your own organisation. It searches tenant content, permissions-aware by design: email, chats, meetings and files, answering questions like what was agreed and where the latest version lives. The internal-knowledge angle is the reason to care, not its serviceable web answers. It is aimed at your company's knowledge first, with open-web answers available through an optional web-search toggle. Retrieval quality tracks tenant hygiene, since stale SharePoint and loose permissions produce confident answers from the wrong document, and it searches your organisation rather than the open web, so external research belongs to other tools.
Example tasks
- Ask questions answered from tenant mail, chats and files
- Find the document where something was decided months ago
- Summarise everything the tenant holds on a topic
- Locate expertise by asking who worked on what
- Check the current version of a policy by asking
Limits
Retrieval quality tracks tenant hygiene: stale SharePoint and loose permissions produce confident answers from the wrong document. It grounds first in your organisation, and an optional admin-controlled web search can reach the open web, so research at scale still belongs to other tools.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| GleanFull comparison → | Copilot searches your own organisation natively, answering what was agreed and where the latest version lives from email, chats, meetings and files, permissions-aware by design | knowledge sprawls across applications beyond the Microsoft estate and needs one governed, cited search surface |
| ChatGPTFull comparison → | Copilot's retrieval advantage is your own organisation, answering what was agreed and where the latest version lives from email, chats, meetings and files, permissions-aware | the question reaches outward to the open web and the work is interpreting what it finds |
| ClaudeFull comparison → | Copilot searches the tenant natively and inherits its permissions, so who may see a document decides who can get it back as an answer | the collection is handed to it deliberately and careful synthesis across conflicting sources is the requirement |
| Google GeminiFull comparison → | Copilot is the one that searches your company's knowledge first, with the open web behind an optional toggle, across email, chats, meetings and files inside the tenant | the answer must draw on the live web as well, and your estate is Google rather than Microsoft |
| PerplexityFull comparison → | Copilot answers from inside your organisation, where the useful question is what was agreed and where the current version lives | the subject is the public web and you want an answer whose numbered sources you can open and check |
| Notion AIFull comparison → | Copilot searches the Microsoft estate as it already exists, with tenant permissions carried through rather than reconstructed | the team's knowledge sits in Notion and its connected tools, and the enterprise procurement is not worth it |
| Grok | Copilot's corpus is your own tenant rather than any public feed, which is what makes it answer questions about your work at all | the question is about the live public conversation and real-time X access is the differentiator |
| Slack AIFull comparison → | Copilot's retrieval quality tracks tenant hygiene: stale SharePoint and loose permissions produce confident answers from the wrong document, so the index is only as good as the estate behind it | the decisions and reasoning that never reached the wiki were said in messages |
| Gemini NotebookFull comparison → | Microsoft Copilot can be asked who worked on what and locate the person as readily as the document, because the estate it reads holds both | the knowledge to search is a corpus you assemble yourself and provenance matters |
| KimiFull comparison → | Microsoft Copilot summarises everything the tenant holds on a topic, which is a question only something sitting inside the organisation can answer at all | one assistant should cover the quick lookups and the long digs together, without a second tool running beside it |
Writing & research
Copilot writes where corporate writing happens
Copilot writes where corporate writing happens. Word handles documents and Outlook handles email, with rewrite and summarise built into each, and Researcher features assemble sourced drafts from tenant and web content, so decent prose gets produced inside governed workflows. It suits writing that must happen inside Office, under IT's rules, at team scale. Frontier assistants produce better prose, and long-form research synthesis is stronger in them, so Copilot's edge is the governed location rather than the words themselves.
Example tasks
- Draft documents in Word grounded in tenant sources
- Rewrite and tighten sections with tracked changes
- Summarise long material into briefing form
- Draft and polish email in Outlook
- Standardise tone across a team document
Limits
Long-form research synthesis and voice-carrying prose are stronger in the frontier assistants. Copilot's edge is that the writing must live in Office under IT's rules, not the writing itself.
Compares
| vs | Pick Microsoft Copilot when | Pick the other when |
|---|---|---|
| ClaudeFull comparison → | Copilot writes where corporate writing happens, with rewrite and summarise built into Word and Outlook and sourced drafts assembled from tenant and web content under IT's rules | prose quality and long-form research synthesis carry the piece |
| ChatGPTFull comparison → | Copilot writes where corporate writing happens, with rewrite and summarise built into Word and Outlook and Researcher assembling sourced drafts from tenant and web content | range across research, synthesis and revision matters more than the governed location |
| Google GeminiFull comparison → | Copilot's edge is the governed location rather than the words themselves, producing decent prose inside the Office workflows IT has already approved | the writing rests on very long sources and the drafting belongs in Google Docs |
| PerplexityFull comparison → | Copilot assembles sourced drafts from tenant content as well as the web, which is what lets a governed document cite the organisation's own material | the sourcing is public and every claim needs a reference you can open |
| Notion AIFull comparison → | Copilot writes inside Office at team scale with the organisation's rules already applied | the team's writing lives in the workspace, draws on linked pages and should be edited where it sits |
| Gemini NotebookFull comparison → | Microsoft Copilot drafts and polishes the email in Outlook and standardises tone across a document a whole team has touched | the research corpus is defined and every claim has to trace to it |
| KimiFull comparison → | Microsoft Copilot rewrites and tightens sections with tracked changes and reduces long material to briefing form, so an edit arrives in a shape a reviewer can accept or reject | the piece starts from a genuine unknown rather than a blank page |
Where to start
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Common questions
Is Microsoft Copilot free?
There's a free tier to start; paid plans add capacity and features.
Where does Microsoft Copilot fit best?
Microsoft Copilot fits best in Consulting & strategy and Data & analytics; see its practice notes for how.
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Last checked: August 2026