Six months ago, we ran every executive engagement through ChatGPT Enterprise. Today, almost every working session moves to Claude Cowork by day two. The tool didn't get better at one specific task — it changed what's possible inside a leadership meeting. Here's what it actually does, what it isn't, and the five ways we use it weekly.
Claude Cowork is Anthropic's AI workspace product. It's not a chatbot, not a plugin, not an agent — it's an environment where you bring your files, your context, and your team's actual work into one place, and Claude works alongside you on that material.
The key difference from a standard chat interface: Cowork has memory of files, projects, and ongoing context. It can hold a 50-page document, your last six client briefs, your team's brand guide, and a customer transcript simultaneously — and reason across all of them in the same conversation. ChatGPT Projects and Custom GPTs solve some of this. Cowork is more integrated.
For executives, that translates to one practical thing: you stop losing context every time you start a new conversation.
For our AI Strategy Days and AI Integration & Adoption Programme, we used to run leadership sessions on ChatGPT Enterprise. It worked. But we hit the same wall every time: each new conversation lost the institutional memory of what we'd built ten minutes earlier.
Cowork removed that wall. We can now drop a leadership team's last three board decks into a single workspace, add the company's customer feedback transcripts from Q1, pull in their org chart, their KPIs, and their roadmap. Then ask the kind of question a CEO actually asks: "Given all this, where's the AI use case our customer service team would benefit from this quarter?"
That question used to require either three different tools or a 90-minute prep session. Now it takes 90 seconds — with sources, with reasoning, with traceable logic.
We didn't switch because Cowork is hyped. We switched because the alternative was leaving good material on the floor in every executive session.
Three things Claude Cowork is explicitly not, despite vendor pitches that suggest otherwise:
These are the use cases that come up weekly in our executive engagements.
Cowork is the right tool for deep, context-rich, multi-source executive work. It's not the right tool for:
If you're a mid-market executive who hasn't tried Cowork, here's the simplest path to evaluate it:
Claude Cowork is one of three tools we genuinely recommend mid-market executives standardise on (the other two are ChatGPT Enterprise and a custom GPT layer for repetitive tasks). It's not the answer to every question. It's the answer to the specific question of: "How do I keep the context of my company's actual work alive in my AI conversations, instead of starting from zero every time?"
If you're still copy-pasting source documents into a chat window every morning, you've outgrown the tool you're using. That's the moment Cowork pays for itself.
How much does Claude Cowork cost?
Cowork is included in Claude Pro (€18/month/user) and Claude Team (€25/user/month with team features). Enterprise pricing is custom for larger organisations.
Is Claude Cowork GDPR-compliant?
Yes. Anthropic provides a Data Processing Agreement, EU data residency options on Team and Enterprise plans, and does not train on your inputs by default. For AI Act compliance, you still need to document the deployment as part of your AI inventory.
How does Cowork compare to ChatGPT Projects?
ChatGPT Projects are roughly equivalent in concept — persistent context for a body of work. Cowork tends to handle very long documents (50+ pages) better, and Claude's reasoning style is preferred for editorial and strategic work. ChatGPT Projects integrates better if your team is already deep in the OpenAI ecosystem.
Can multiple people use the same Cowork project?
On the Team plan, yes — multiple team members can access shared projects. Useful for executive-team-level work.
What about confidentiality of executive material?
Anthropic's enterprise data handling is robust, and you can disable training on inputs. Treat Cowork like any external system holding sensitive material: classify what goes in, document the deployment, and assign accountability.