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AI engineering / Microsoft

Azure OpenAI

OpenAI capability. Your Azure architecture.

Use OpenAI models through Azure as part of your application estate. Model choice, deployment region, capacity and access become architecture decisions.

Discuss Azure OpenAI
PRODUCT VIEW / OFFICIAL VENDOR MATERIAL

Microsoft Foundry chat playground — official product screenshot. Source

WHAT IT BRINGS TO THE WORK

Capability,
with a purpose.

Start with what the product supports. Design the business outcome around your data, people and responsibilities.

01

Model deployments

Choose supported model deployments for your workload and region.

02

Application integration

Bring language and multimodal capability into software through APIs.

03

Enterprise operation

Design identity, network access, monitoring and usage controls around the service.

IMAGINE IT IN YOUR ORGANISATION

Make the product
part of a real workflow.

Illustrative enterprise workflow

Extract and reconcile information from a supplier document, retrieve the relevant policy and return structured findings for an operations reviewer.

Rehearse an enterprise workflow

A USEFUL ENGAGEMENT

What we build
around it.

  • A deployment and capacity decision
  • Application integration with explicit failure handling
  • Quality and cost evaluation using representative cases

Product information checked 2 November 2026. Official vendor media is illustrative of the product; interfaces and availability can change. Explore the official product information

YOUR BUSINESS. A USEFUL NEXT STEP.

Make Azure OpenAI
work for you.

Bring the workflow, the people and the systems involved. We will shape an engagement around the outcome you need.

Plan a working sessionImplementation · Integration · Adoption · Operation