Azure AI Search
Design retrieval and grounding around the information your application is allowed to use.
AI engineering / Microsoft
Azure AI services
The right capability for each part of the work.
Combine retrieval, document understanding, speech, language and vision capabilities where the workflow needs them. A reliable application is often a composition of services.
Discuss Azure AI servicesPRODUCT VIEW / OFFICIAL VENDOR MATERIAL
Diagram of the Azure AI Search architecture for agentic retrieval.. 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.
Document Intelligence
Extract document content and structure, with checks before business action.
Speech, language and vision
Select specialised capabilities for audio, text and image workloads.
IMAGINE IT IN YOUR ORGANISATION
Make the product
part of a real workflow.
Illustrative enterprise workflowProcess an incoming document, retrieve the governing policy and prepare a structured decision record with the relevant evidence attached.
Rehearse an enterprise workflowA USEFUL ENGAGEMENT
What we build
around it.
- A service-selection and integration design
- A representative document or retrieval evaluation
- Observability and exception handling at each step
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 AI services
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
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