You run the tenant, so you know Copilot is one switch away in the admin center. You’ve probably left it off on purpose, while you tried Claude, ChatGPT, or Gemini in your own workflows first. But if your organization runs on Microsoft 365, here’s the case for turning Copilot on for your own team.
You looked at the price, watched the early demos, and decided to see what the standalone tools could do before flipping the switch. Plenty of good IT teams we know have made exactly that call, and the tools reward it.
ChatGPT is a strong all-rounder for drafting, brainstorming, and quick answers. Claude is a favorite for writing, analysis, and code, which is why so many teams have built internal assistants on top of it. Gemini does the same job for shops living in Google Workspace. Wire any of them into your documents, your scripts, or your systems and you can get real value back.
We’re not saying any of that needs undoing. If a tool earns its place in your day, keep it.
Our point is if you run on Microsoft 365 and Copilot is still switched off, the one thing you’re leaving out is the thing that makes any of these tools useful in a business: your own data, in the place it already lives.
Your data is the fuel. Work IQ is what turns it into answers
The model you pick matters less than what it can see. Your emails, your SharePoint sites, your Teams history, your meetings, your permissions, your org’s own way of naming things. That context is your advantage, and for most companies it already sits inside Microsoft 365.
Microsoft has a name for the layer that reads all of that and turns it into something Copilot can use: Work IQ. It’s the part that knows who you work with, which documents matter on which project, and what got decided in last week’s meeting. It stays inside your permissions, so it only ever surfaces what a given user is already allowed to see. Microsoft’s own pitch for it is: it makes Copilot more accurate than assistants built on connectors alone.
That distinction matters if you’ve already wired Claude or GPT into SharePoint through a connector. A connector can fetch a file. It doesn’t come with an understanding of how your organization actually works, and it doesn’t inherit your governance the same way. That work-context layer is the piece you can’t bolt on from outside, and it’s why Copilot sitting on your tenant behaves differently from a smart model reaching into it.
Copilot puts that to work right where you already are. In Word it can see your document. In Excel, your data. In PowerPoint, your deck. You can point it at a file from last quarter or a meeting from last week without leaving what you’re doing. A standalone chat window works from whatever you pasted into it, then hands you something to check, reformat, and find a home for.
That gap sounds small. In practice it’s most of the value.
Grounded data builds things that last
Because Copilot is wired into Microsoft 365, it works against live, governed data rather than a snapshot. That’s the difference between an AI tool that spits out a static dashboard someone rebuilds by hand every month, and one tied to a live SharePoint list that keeps itself current.
Cloudwell sees the other version of this all the time. Clients build their own AI solutions on standalone tools, then send them over to us to implement. They often look impressive. They’re also frequently hardcoded one-offs that fall apart the moment the underlying data changes, because a generative tool produces something slightly different every time you ask it. Good luck maintaining that in production.
What’s changed, and what makes Copilot different inside a business, is the grounding. When the AI pulls from live, permissioned data instead of improvising, it stops guessing and starts working from what’s actually true. The output stops being a clever demo and becomes something you can rely on.
You’re not locked into one model
This is the part that answers the “but we’ve standardized on Claude” or “we’re a GPT shop” thinking. You don’t have to choose. Copilot is multi-model. It runs on OpenAI’s models by default, and you can now select Anthropic’s Claude models too, in the Researcher agent and from a model dropdown when you build agents in Copilot Studio. As the admin, you control which models are available in your tenant, so it stays a governed decision rather than a free-for-all.
Match the model to the task and run it inside the tool that also sees your files, your data, and your permissions. The choice was never Copilot versus the model you like. You get both.
Microsoft keeps shipping new functionality
Microsoft ships new Copilot capability constantly: new agents, new surfaces, model options that didn’t exist a quarter ago. Standardize on a single standalone tool and your ceiling is whatever that one vendor builds next. Keep Copilot in the mix and your options widen on a stack you already own and govern. When you’re the one who has to place the bets, that optionality tends to be worth more than any single feature.
Turn it on for your own team first
Here’s the practical move, and it costs you almost nothing to test. You already have the switch. Instead of a company-wide rollout, enable Copilot for a small group and make your own IT team the group.
Two reasons. You’re about to field a wave of “can we use AI for this?” questions from every department, and you can’t advise on a tool you’ve left switched off or govern a surface you’ve never watched work. And a small internal pilot is how you build evidence before you argue for spend at scale. Get the team that runs the environment fluent first, and the wider rollout becomes a decision you can defend with your own results.
“Even when a client has invested in its own AI tooling, I’d still want Copilot in the hands of at least a subset of IT,” says Pat McGown, Cloudwell’s CEO. “Once you’re on Microsoft 365, you get things you can’t get anywhere else. The AI is grounded in your own data, so it stops guessing and works from what’s actually true. You can see and govern what people are building on it. And you can take a rough idea and turn it into something that still works next month, on the stack you already run. Once IT sees what that unlocks, the rest of the conversation gets a lot easier.”
How Cloudwell can help
We’re a Microsoft partner, and we’re all in on Copilot, in our own business and with our clients. We can get your team productive fast, show you the entry points and setups that separate “it makes stuff up” from “it saved us a morning,” and help you govern what your people build on top of it. When something’s worth scaling, we help you scale it on foundations you own.
If you run on Microsoft 365 and Copilot is still switched off, you’re the team best placed to know what that’s costing you, and the one that can turn it on today. Start with using it yourselves. Talk to us if you’d like a hand.
FAQs
Is Microsoft 365 Copilot worth turning on if we already use ChatGPT or Claude?
Usually, because it does a different job. Standalone tools are good for working outside your files. Copilot works inside them, with the context of your documents, data, and permissions, and it’s grounded in your live Microsoft 365 content, something Microsoft calls Work IQ. If you already pay for Microsoft 365, Copilot adds capability the standalone tools can’t, rather than duplicating what you have.
Can Microsoft 365 Copilot use Claude or GPT models?
Both. Copilot runs on OpenAI’s models by default and can also use Anthropic’s Claude models, selectable in the Researcher agent and when building agents in Copilot Studio. You control which models are available in your tenant, so model choice stays a governed decision.
Does turning Copilot on lock us into Microsoft?
It does the opposite for most teams. You keep the standalone tools your people already like, you pick from more than one model inside Copilot, and Microsoft keeps adding capability on a stack you already own and govern. The lock-in risk runs the other way: building your workflows entirely on top of one standalone tool caps you at whatever that vendor ships next.
We deliberately left Copilot switched off. Why revisit that now?
Two things have moved. Copilot is now grounded well enough in your Microsoft 365 data to be genuinely useful rather than a demo, and it’s multi-model, so the “we’ve picked another tool” objection no longer means picking against it. You’re also the team that will be asked to advise on and govern every other department’s AI experiments, which is hard to do from behind a switch you’ve never turned on.
***
Ready to flip the switch? We’ll help you set up a Copilot pilot for your own IT team, with the governance in place before the rest of the business comes knocking. Book a call with Cloudwell and let’s get your team working from your own data.