We’ve heard a version of this from a few Lower Mainland clients recently: “Copilot is just rebranded ChatGPT, right? Why pay an extra $30 a month per user when ChatGPT Plus is $20?”
It’s a fair question. The language model behind Copilot is in fact from OpenAI, the same lineage that powers ChatGPT. If you only look at the model, the comparison makes sense.
But the model is the smallest part of what makes Copilot useful for a business. The bigger part is everything Microsoft has built around it: identity, permissions, data integration, and security controls that ChatGPT does not have. For a small business in BC trying to deploy AI without creating a data governance problem, that’s the part that actually matters.
How Copilot handles your data differently from ChatGPT
When an employee opens ChatGPT and pastes in a client contract to summarize, that document leaves the business environment. It goes to OpenAI’s servers. There is no audit log. No data loss prevention rule. No conditional access policy. No way for IT to know it happened.
When the same employee asks Copilot to summarize the same contract, Copilot reads it directly from SharePoint or OneDrive without copying it anywhere. The document stays inside the Microsoft 365 tenant. The permissions on the document still apply. The sensitivity label still applies. The retention policy still applies. If the IT admin runs a Microsoft Purview audit, that interaction shows up.
Same model under the hood. Very different security posture.
Copilot in Sales, Finance, HR, IT, and operations
The pitch about Copilot being “integrated across the business” sounds vague until you see it in a real organization. Copilot isn’t one product. It’s a layer Microsoft has stitched into every part of the suite, and each integration handles a different department’s work without people leaving the tools they already use.
- Sales: Copilot in Dynamics 365 reads CRM records, recent emails, and call notes to draft follow-ups, summarize account history before a meeting, and flag deals that have gone cold. The salesperson doesn’t paste anything into a chat window.
- Finance: Copilot in Excel can analyze a spreadsheet, suggest pivot tables, identify anomalies, and explain formulas in plain language. For accounting teams that live in Excel, this tends to land quickly.
- Operations: Copilot Studio lets non-developers build agents that automate repetitive workflows, all inside the existing tenant and with the same permissions model.
- HR: Copilot reads from Viva and SharePoint to answer employee questions about policies, benefits, and procedures, but only the documents that employee already has access to.
- IT and security: Copilot for Security reads from Defender, Sentinel, and Entra to help analysts investigate incidents faster, summarizing alerts and suggesting next steps based on the organization’s actual environment.
The thread tying all of this together is Entra ID. The same login, the same MFA, the same conditional access rules. There’s no separate AI account to provision, no separate billing relationship, no shadow IT to discover six months later.
Compliance: PIPEDA, PIPA, and where data lives
The bigger reason businesses in regulated industries are choosing Copilot over ChatGPT for sensitive work isn’t capability. It’s accountability. We covered the privacy implications of both tools in more detail in an earlier guide for Canadian executives.
Under PIPEDA and BC’s PIPA, organizations are responsible for personal information they collect, including how it gets processed by third parties. When an employee uses ChatGPT to handle client data, the business is trusting OpenAI’s processing terms, data residency, and audit practices. Most small businesses don’t have legal teams reviewing those.
Copilot processes data inside the existing Microsoft 365 commercial tenant. The same data residency commitments, the same compliance certifications (SOC 2, ISO 27001, HIPAA where applicable), and the same audit logs that already cover your email and SharePoint also cover Copilot interactions.
Microsoft has been explicit that Copilot does not use customer data to train its foundation models. ChatGPT’s enterprise plan makes a similar commitment, but the consumer version that most employees default to does not.
For a law firm in Surrey, a medical clinic in Langley, or any business handling personal information, that distinction tends to matter more than the price difference.
When ChatGPT is still the better tool
We’re not arguing nobody should use ChatGPT. There are real cases where it’s the right choice.
Standalone tasks where no business data is involved. Personal productivity. Coding help. Brainstorming where the inputs are public information. ChatGPT Plus also has more flexible model options for power users who want to experiment with different reasoning approaches. If you’re still weighing whether ChatGPT alone could meet your needs, our breakdown of whether your business should use ChatGPT is worth a read.
But for an organization that already runs on Microsoft 365 and wants AI woven into how the business actually operates, paying $20 per user for ChatGPT and then trying to bolt on data governance after the fact often turns out to be the expensive option, not the cheap one.
Four questions before rolling out Copilot
Most clients we work with are running Microsoft 365 Business Standard or Premium. The Copilot license adds roughly $30 USD per user per month. That’s real money for a 50-person business, so we usually walk through a few questions before recommending a rollout:
- Is your tenant ready? Copilot is only as good as the data it can read. If permissions are too loose, Copilot will surface things you don’t want surfaced. If permissions are too tight, Copilot won’t be useful. A SharePoint cleanup is often step one.
- Do you have sensitivity labels in place? If you handle confidential information, Microsoft Purview sensitivity labels are how you tell Copilot what it can and can’t reference. Worth setting up before deployment.
- Who actually needs it? A common mistake is buying Copilot for everyone. Knowledge workers who spend hours in email, Word, and Teams get the highest return. Front-line staff often don’t.
- What’s the training plan? Copilot only delivers value when people use it. Most teams need a structured rollout with real examples, not just a license assignment and a hope.
We’ve watched a few rollouts go sideways because the business treated Copilot like flipping a switch. The deployments that delivered real value were the ones treated like proper software rollouts, with change management and follow-up.
Why this matters for Microsoft 365 shops
What Microsoft is doing with Copilot is fundamentally different from what OpenAI is doing with ChatGPT. OpenAI is building a powerful general-purpose AI model. Microsoft is building AI integration into the operating system that most businesses already run on.
Both are valid strategies. But for a small business in the Lower Mainland trying to roll out AI safely, with proper governance, without creating new compliance problems, the integrated approach is hard to beat. The model is increasingly a commodity. The integration is the part you can’t easily replicate.
If you’re already on Microsoft 365 and wondering whether Copilot makes sense for your team, this is one of the conversations we have most often. Book a free consultation with Raxxos and we’ll walk through what a sensible rollout looks like for your business.
