Private GPT vs Microsoft Copilot: the honest comparison
Microsoft Copilot is a strong fit if your firm already lives entirely inside Microsoft 365. If your data, tools, or model preferences reach beyond that ecosystem, here is what changes when you move to a private AI assistant built around your business instead of one vendor's suite.
| Microsoft Copilot | Private GPT | |
|---|---|---|
| Requires Microsoft 365 | Yes, an eligible license is a prerequisite | No, works alongside whatever stack you run |
| Where it lives | Embedded inside Word, Excel, Teams, Outlook | Standalone assistant, your branding, your domain |
| Data it can see | Microsoft Graph only: SharePoint, OneDrive, Teams, mail | Any of your connected data sources, Microsoft or not |
| AI models available | Defined by the Copilot product | Supported options defined in scope |
| Access control | Inherits configured Microsoft 365 permissions | Configured role based access |
| Branding | Microsoft's | Your logo, your domain |
| Custom workflows | Built for general Office tasks | Built around your actual processes |
| Setup | Enabled per license in the admin center | White glove deployment and ongoing management |
| Pricing | License and plan dependent | Scoped after requirements review |
When Copilot is enough
If your firm is fully committed to Microsoft 365, every document lives in SharePoint or OneDrive, and you are happy with Microsoft's model choices, Copilot is already sitting in your admin center waiting to be turned on. We would rather tell you that than sell you something you do not need.
When you have outgrown it
The moment your firm's knowledge lives somewhere Microsoft Graph cannot reach, a client portal, a practice management system, a CRM, or a shared drive outside Microsoft 365, Copilot stops being able to answer the whole question. A private deployment is built the other way around: it connects to the places your business actually keeps information, and it is not locked to a single vendor's models or branding.
See what that looks like in practice on the deployment walkthrough, check the security architecture, or go straight to pricing factors. Evaluating a Google Workspace shop instead? See the Google Gemini comparison.
Questions people ask before switching
Is Microsoft Copilot the same as a private AI assistant?
Not quite. Microsoft 365 Copilot is a feature layered into Word, Excel, Teams, and Outlook that answers from whatever lives in your Microsoft Graph: SharePoint, OneDrive, Teams chats, and email. It requires an eligible Microsoft 365 license and stays inside the Microsoft ecosystem. A private AI deployment is a standalone, branded assistant that connects to whatever data sources you actually use, Microsoft or not, and runs on the model of your choice.
Do I need Microsoft 365 to use Private GPT?
No. Private GPT is not tied to any single vendor's productivity suite. If your team runs on Google Workspace, a mix of tools, or industry specific software alongside Microsoft 365, Private GPT connects to those sources directly instead of requiring everything to live inside Microsoft Graph first.
Can I choose which AI model powers my assistant?
Private GPT can be configured with supported model options from selected providers. Availability, endpoint handling, and defaults are confirmed in scope. Microsoft controls the models available within each Copilot product, so review its current documentation for the product you are evaluating.
Does Copilot only see Microsoft 365 data?
Yes, by design. Copilot answers are grounded in Microsoft Graph, which covers SharePoint, OneDrive, Exchange, and Teams. If your firm's knowledge lives in a CRM, a practice management tool, or shared drives outside Microsoft 365, Copilot cannot see it without additional connectors. A private AI deployment is built to connect to the actual places your business keeps information.
See both side by side
Book a meeting to review your Microsoft 365 workflow and the approved sources, access, integrations, support, timeline, and pricing requirements for a dedicated deployment.