AI Platforms We Support
We are vendor-neutral by design. Microsoft Copilot, Claude by Anthropic, and ChatGPT by OpenAI each win at different kinds of work — and most mid-market and enterprise organizations end up running more than one. Our job is to make that deliberate rather than accidental.
Microsoft Copilot
AI inside the tools your organization already runs on.
Microsoft 365 Copilot puts AI directly inside Word, Excel, Outlook, Teams, and SharePoint, grounded in your own tenant data through Microsoft Graph. For organizations already standardized on Microsoft 365, it is the fastest route to broad, low-friction adoption — provided the tenant is properly secured first.
- Organizations standardized on Microsoft 365
- Broad, organization-wide productivity gains
- Work that lives in documents, email, and meetings
- Teams that need AI without changing tools
Claude
Careful, high-context work on long and sensitive documents.
Claude excels at sustained reasoning over very long documents and at following detailed instructions with a low tolerance for fabrication. It is the platform we most often recommend for legal, policy, research, and analytical work — and Claude Projects gives teams a clean way to share context without pushing data into ad-hoc tools.
- Long contracts, policies, and research corpora
- Legal, compliance, and analytical review
- Drafting that must follow detailed house style
- Teams that need careful, well-cited output
ChatGPT
The broadest general-purpose capability — and the one already in use.
ChatGPT is the platform your employees most likely adopted on their own. Its breadth across analysis, code, images, and custom GPTs makes it genuinely versatile, which is exactly why it needs a governed enterprise footing. We move organizations off unmanaged personal accounts and onto ChatGPT Enterprise with real controls.
- Broad general-purpose assistance across roles
- Data analysis, code, and multimodal tasks
- Purpose-built custom GPTs for departments
- Replacing unmanaged personal-account usage
How they differ
A practical side-by-side to frame the conversation. The right mix depends on your data, your tooling, and the work your teams actually do.
| Attribute | Microsoft Copilot | Claude | ChatGPT |
|---|---|---|---|
| Core strength | Grounded in your Microsoft 365 data | Long-context reasoning and careful drafting | Broad general-purpose versatility |
| Lives where | Inside Word, Excel, Outlook, Teams | Web app, Projects, and API | Web app, custom GPTs, and API |
| Typical entry point | Existing M365 E3/E5 estate | Legal, policy, and research teams | Teams already using it informally |
| Primary governance concern | Oversharing and permissions sprawl | Workspace context and retention | Unmanaged personal accounts |
| Agent / extension model | Copilot Studio agents | Projects and API integrations | Custom GPTs and connectors |
How we approach platform choice
We match the platform to the work
Document-heavy legal review, tenant-grounded productivity, and open-ended analysis are different problems. We recommend based on the workload, not a vendor relationship.
One governance framework across all of them
A single acceptable use policy, one set of data-handling standards, and consistent audit expectations — regardless of how many platforms you run.
Training that reflects reality
Most organizations end up with more than one platform. We train your people on when to reach for which, so they stop defaulting to whatever they opened first.
Let the data decide which platform you need
Start with an AI Opportunity Snapshot. We assess your workflows, data, and existing tooling, then recommend a platform mix with the ROI numbers to justify it.