Copilot Cowork vs Claude Cowork: what European organisations need to know before they choose

It started with a naming collision.

Within weeks of each other, Anthropic and Microsoft both shipped a product called Cowork. Both powered by Anthropic models. Both promising to handle complex tasks on your behalf. And both landing in the inboxes of IT teams, compliance officers, and transformation leads across Europe with the same question attached: which one do we use?

Edine and Femke keep finding is the same thing: the choice between these two products is not primarily a technology decision. It is an organisational readiness question dressed up as one.

The core difference is simpler than it sounds

Claude Cowork runs on your own machine. Anthropic spins up a small virtual computer on your device, your files go in, your tasks run locally, and the results come back to you. Flexible and powerful. The catch is that all that processing happens in the United States. No EU data residency.

Copilot Cowork doesn’t touch your machine at all. It lives inside your Microsoft 365 tenant, directly connected to your email, calendar, Teams conversations, and SharePoint files through Microsoft Graph. And because it runs inside Microsoft’s environment, it inherits the full compliance stack. Purview. DLP policies. eDiscovery. Conditional Access through Entra ID.

That is the split. Everything else follows from it.

The question leadership needs to answer first

Are you allowed to process data outside the EU?

Not “we think it’s probably fine.” Not “legal hasn’t raised it yet.” Actually check your data processing agreements and get a real answer before anyone touches either product at scale.

Anthropic’s own documentation states plainly that Claude Cowork activity does not appear in audit logs or compliance exports, and that it should not be used for regulated workloads. That is not a criticism of the product. That is the vendor being direct with you. For any organisation with compliance obligations, that sentence alone should drive the decision.

And this matters to say out loud: Claude is one of the most capable tools available right now. This is not about which model is better. It is about fit for purpose. A powerful tool deployed in the wrong context is not an upgrade. It is a liability.

The nuance nobody is talking about at board level

Even Copilot Cowork is not a clean EU data story. The Claude model inference inside Copilot Cowork is explicitly excluded from the EU Data Boundary. Your M365 data stays in the EU. The actual AI processing does not.

If your organisation has already worked through that in your DPAs, Copilot Cowork is manageable. If that conversation hasn’t happened yet, neither product is fully safe to roll out at scale.

This is exactly the conversation we keep having with leadership teams. Not about features. Not about licences. About whether the organisation has made a conscious decision about where its data goes and who is accountable when something goes wrong. Most haven’t. And rolling out agentic AI without that clarity is not transformation. It is exposure.

Get Purview in order before you do anything else

This is where the technical and the organisational collide.

Sensitivity labels are where to start. If a document or email is labelled confidential, it should not quietly end up in an AI agent’s context window without someone making a conscious choice. Set up your DLP policies in Purview to prevent data with sensitive labels from being processed by Copilot. And don’t assume it’s bulletproof. There are documented cases where Copilot worked around sensitivity labels in ways admins didn’t expect. Layer your controls.

Human-in-the-loop is the other thing to configure. Copilot Cowork can ask for approval before it takes consequential actions sending emails, booking meetings, touching SharePoint content. Turn that on.

From a transformation perspective, this matters beyond compliance. An agent operating silently on autopilot is a liability dressed up as productivity. But more than that, it erodes trust. When employees don’t understand what the agent did in their name, and why, you don’t get adoption. You get resistance. The human-in-the-loop isn’t just a governance setting. It is how you build the organisational muscle to work alongside AI responsibly.

When Claude Cowork still makes sense

There are real situations where Claude Cowork is the right call. Teams working heavily with local files, tools outside the Microsoft stack, or anyone who needs screen control on macOS will find it does things Copilot Cowork simply can’t do yet. If your team isn’t living in M365 all day, the native integration that makes Copilot Cowork compelling just isn’t relevant to you.

For teams whose work genuinely lives in Outlook, Teams, and SharePoint, Copilot Cowork is where the value compounds. The data is already there. The AI just needs to reach it properly.

The transformation lens

What we find most interesting about this moment is not which product wins. It is that the choice itself forces a conversation that leadership teams have been deferring.

Do we know where our sensitive data lives? Have we actually configured our compliance stack, or just assumed someone has? Do we have an explicit policy on AI processing outside the EU? Who is accountable when an agent acts in an employee’s name?

Rolling out Cowork either version  accelerates whatever state your organisation is already in. If your governance is solid, it compounds the value. If it isn’t, it compounds the exposure. That is not a reason to wait. It is a reason to move deliberately.

The organisations getting this right are not necessarily moving the fastest. They are moving with the most clarity about what they have decided and why.

Three things to do before you roll anything out

Check your data processing agreements and confirm whether AI model inference outside the EU is permitted. Both products involve that, no exceptions. Then go into Purview, create your sensitivity labels, and apply them to your most critical data. Make sure DLP policies explicitly cover Copilot. Finally, decide who gets access and scope it through security groups and make sure that decision sits with someone accountable, not just someone available.

The potential here is real. The risk is real too. The difference is whether your organisation made the choice consciously.