OpenAI's models,
Microsoft's compliance stack.
Azure OpenAI gives access to OpenAI's models through Microsoft's enterprise infrastructure — Azure AD integration, Microsoft's compliance certifications, and data handling terms many enterprise clients have already vetted. We reach for it when a client is Microsoft-native.
Serving UK and EU clients: GDPR, EU AI Act, and data residency are covered on our Trust & Safety page.
Familiar models,
enterprise plumbing.
Azure OpenAI is Microsoft's managed access layer for OpenAI's models — the model capability is the same, but the deployment sits inside Azure's compliance, identity, and data-handling framework instead of OpenAI's own API directly. For enterprise clients who've already standardized on Microsoft's compliance posture, that's often the deciding factor.
Azure AD integration also means access control ties into a client's existing identity system rather than a separate API key to manage.
The same model,
Microsoft's access controls.
The integration itself is standard; the surrounding compliance posture is what changes.
Model access controlled through the same identity system governing the rest of a client's Microsoft environment.
Deployed within Microsoft's existing compliance certifications a client has already assessed.
Routed through the same thin interface as any other provider, so it's not a permanent architectural commitment.
Where this fits
Azure OpenAI tends to come up specifically for Microsoft-native enterprise clients.
Before you
book a call.
The questions we get asked most about Azure OpenAI — answered straight, no sales pitch.
Why use Azure OpenAI instead of OpenAI's API directly?
When a client's identity management, compliance certifications, and procurement are already built around Microsoft Azure, accessing the same models through Azure keeps everything inside that already-vetted boundary.
Is the model capability different from OpenAI's own API?
The underlying models are the same family — the difference is the deployment and compliance layer around them, not the model itself.
Does this require a client to already use Azure for everything?
It's most natural when a client's broader infrastructure is already Microsoft-native, but it can be adopted standalone if Azure's specific compliance posture is the deciding factor.
Tell us what
you're trying to build.
Book a 30-minute call — we'll tell you honestly whether Azure OpenAI fits your environment, or whether a direct integration is simpler.