Does Copilot let people see documents they should not?

No. It retrieves through Microsoft Graph and permission-trims at query time, so it returns only what that individual user could already open, and it grants no new access. The legitimate worry underneath the question is different: in most tenants people can technically reach far more than anybody intends, because sharing accumulated over years and finding things required knowing where to look. Copilot removes that friction, so pre-existing oversharing becomes visible quickly. The remedy is permission remediation, which is worth doing whether or not you deploy any assistant.

Is our data used to train models in either case?

Microsoft states that organisational prompts and data are not used to train the underlying models, and that content stays within your tenant boundary under your existing permissions and policies. Enterprise offerings from other vendors make their own commitments, and those commitments are exactly what you should be reading rather than assuming, because they differ between a consumer tier and an enterprise tier of the same product. The practical point is that this question has a documented answer for any enterprise service, and getting it in writing is part of the procurement rather than a reason to stall.

Which one is cheaper?

We do not publish pricing for anything, including vendor list prices, because it changes and because it is rarely the variable that decides the outcome. What we would say is that the per-seat figure is a poor basis for this particular decision. What determines whether either product returns anything is cohort selection, enablement and whether your estate is in a fit state to be searched, and a cheaper licence that nobody uses costs more than a dearer one that changes how a team works. Both vendors publish current pricing directly, and your existing agreement frequently changes the effective answer.

Can we just use the free consumer versions?

People already are, which is the honest starting point for this conversation. The difficulty is that consumer services sit outside your tenant, outside your sensitivity labels, outside your audit trail, and under terms that differ from the enterprise equivalents. For an Indian organisation with DPDP obligations that means processing you cannot describe if asked. Blocking without providing an alternative moves the activity to personal devices where you see nothing at all, so the productive sequence is an acceptable use position first, then a governed tool, rather than prohibition on its own.

Do we have to choose at all?

No, and a good number of organisations deliberately run both, with Copilot for work grounded in company content and a general assistant for research and open-ended work. The cost is governance: two surfaces to administer, a processor assessment for the non-Microsoft service, one acceptable use position covering both, and somebody accountable for the boundary. Running both without that person is functionally the same as having no policy, because users will reach for whichever is closest to hand rather than whichever suits the content.

How does this interact with the DPDP Act?

Neither product discharges your obligations, and both change the factual account you need to produce. If an assistant processes personal data, that processing has to sit within your Rule 3 notice and your lawful basis, and prompts and responses need a retention position under the purpose limitation Rule 8 imposes. Copilot keeps that processing inside your tenant boundary under policies you already run, which makes the account simpler to write. A third-party service is a separate processor, so the contractual chain and the assessment matter more. Whether your notice covers either is a determination for your counsel.

Decision guide

Microsoft 365 Copilot or ChatGPT Enterprise

If your organisation runs on Microsoft 365 and the value you want is AI inside the documents, mail and meetings people already work in, Copilot wins, because it grounds in your own content through Graph, permission-trims at query time and honours your sensitivity labels without you configuring anything. If what you want is the strongest general assistant, broad third-party integration and no dependence on one vendor ecosystem, ChatGPT Enterprise is the better product on its own terms. A significant number of Indian organisations end up running both, deliberately, for different jobs. What none of them should do is let the decision stall for months while people quietly use consumer AI on their phones.

Talk it through with an engineer See the comparison

What is actually being compared

Microsoft 365 Copilot: AI inside Word, Excel, Outlook and Teams, grounded in your own SharePoint, OneDrive and mail through Microsoft Graph, governed by the permissions, sensitivity labels and compliance policy your tenant already has.
ChatGPT Enterprise: A stronger standalone assistant with mature enterprise administration and broader third-party integration, but no inherent knowledge of your permissions model or your confidentiality markings.
Both: Common in practice. Copilot for work grounded in company content, ChatGPT Enterprise for open-ended reasoning, research and building. Requires one acceptable use position covering both.

Side by side

How they differ in practice

Feature	Feature	Microsoft 365 Copilot	ChatGPT Enterprise
Grounded in your company content	Yes, through Graph, out of the box	Only what a user supplies or you connect	Copilot for grounded work
Respects your existing permissions	Yes, permission-trimmed at query time	No inherent knowledge of your permission model	A key reason to split by use case
Honours sensitivity labels	Yes, and output inherits the source label	Not by default, it cannot tell what is sensitive	Label-dependent work belongs in Copilot
Where it lives in the working day	Inside Word, Excel, Outlook and Teams	A separate application people go to	Different habits, so train them separately
Quality as a general assistant	Good, and tuned to Microsoft 365 tasks	Generally the stronger open-ended assistant	The usual reason people want both
Third-party integrations	Narrower, and deeper inside the Microsoft estate	Broader across non-Microsoft tools	Depends what else your business runs on
Vendor concentration	Increases dependence on Microsoft	Independent of your productivity vendor	Both means two contracts and two reviews
Admin and audit surface	Purview, existing tenant audit and DLP	Its own enterprise console and controls	Two consoles to govern rather than one
DPDP position	Inside your tenant boundary, under existing policy	A separate processor to assess and contract with	Neither removes your obligations

Choose Copilot if

Your work genuinely lives in Microsoft 365 and the tasks you want help with are drafting, summarising meetings, and pulling together documents from material you already hold.
You need the assistant to respect the permission model and confidentiality markings you already maintain, without asking users to make that judgement themselves.
You want one governance surface. Purview, sensitivity labels, DLP and your existing audit trail cover it, rather than a second console and a second processor assessment.
Adoption matters more than capability, which it usually does. A tool inside the application people already have open gets used by people who would never open a separate one.

Choose ChatGPT Enterprise if

The value you want is the assistant itself, for open-ended reasoning, research, analysis and building, rather than for operating on your existing documents.
Your business runs substantially on tools outside the Microsoft estate, where the broader third-party integration is worth more than deep Microsoft 365 integration.
You deliberately want to avoid deepening dependence on a single vendor for both productivity and AI.
Your users have a strong preference for it, which matters more than teams expect, because an assistant nobody wants to use returns nothing whatever it can do.

Run both if

Different functions genuinely need different things, which is common: Copilot for the document-heavy functions, a general assistant for research, product and engineering.
You are prepared to govern two surfaces. That means one acceptable use position covering both, a processor assessment for the non-Microsoft service, and clarity for users about which content may go where.
You have somebody accountable for the boundary. Without it, running both is indistinguishable from having no policy, because people will pick whichever is nearer.

When the other option is right

We are a Microsoft Partner, so treat our view on this with appropriate suspicion and check it against your own situation. Two things we will say plainly against our own interest. First, if your organisation is not substantially on Microsoft 365, Copilot is not the right answer and buying it to get AI is an expensive route to a poor fit. Second, if your sharing posture is bad, Copilot should wait, and the useful engagement is remediation rather than licences. Equally, if your driver is a small number of people wanting a better general assistant for research, that is a real requirement and Copilot is not what solves it.

Whichever you choose, do these first

Find out what is already being used. Ask your network team what AI services are being reached from managed devices. The answer is usually more than leadership expects, and it changes the comparison from hypothetical to real.
Issue an acceptable use position now, before the tooling decision. What may go into a prompt, what may be done with the output, and where the line sits with consumer services on personal devices. This is cheap and it does not depend on which product you pick.
Fix oversharing before deploying anything that searches on a user behalf. This applies to Copilot most directly, and to any enterprise search or connected assistant.
Decide what success looks like and measure a baseline for three or four specific tasks. This is the same work whichever product you choose, and it is impossible to reconstruct once people have started.
Establish your data residency position in writing rather than by assumption, and give it to whoever has to sign off. For Copilot this is a tenant-specific answer; for a third-party service it is a processor assessment.
Pick a cohort by workload rather than by who asked. Both products fail the same way when licences go to whoever was loudest rather than to the people whose work they suit.

Questions

Common questions

Talk it through with an engineer, not a salesperson

Tell us your situation and we will tell you which option fits, including when that is not us. Initial reply within 4 business hours.

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