# Azure OpenAI → AWS Bedrock migration: AI use case

> Move LLM features to Bedrock after consolidating on AWS, without users noticing. SaaS & Technology.

Source: https://aibyos.com/use-cases/aoai-to-bedrock

SaaS & Technology

# Azure OpenAI → AWS Bedrock migration

Move LLM features to Bedrock after consolidating on AWS, without users noticing.

[Discuss this use case](https://aibyos.com/contact)

## How we approach it

1.  Inventory prompts, models, embeddings and provider-specific features
2.  Introduce a gateway so the app no longer calls one provider directly
3.  Shadow traffic and side-by-side evals, re-embed vector store, phased cut-over with rollback

## How success is measured

Eval parity with the old setup, latency, cost per request, zero-downtime cut-over.

## Capabilities involved

[⇆ Cloud AI / LLM Migrations](https://aibyos.com/services/migrations)[⇄ AI Gateways & Model Routing](https://aibyos.com/services/gateway)[✓ Evaluation, Guardrails & AI Security](https://aibyos.com/services/evals)

## Industry

SaaS & Technology

Related

## More use cases.

[Finance & Insurance Claims intake & triage agent Read claim documents and photos, check coverage and route claims automatically. _AI Agents__Image & Vision__Evals & Guardrails_ Open →](https://aibyos.com/use-cases/claims) [Finance & Insurance Governed LLM access for a regulated firm Let every team use LLMs through one gateway with redaction, logging and EU-only routing. _AI Gateways__Evals & Guardrails_ Open →](https://aibyos.com/use-cases/gateway-bank) [Healthcare & Life Sciences Clinical documentation assistant Turn doctor–patient conversations into structured notes. _Voice AI__LLM Apps & Copilots__Evals & Guardrails_ Open →](https://aibyos.com/use-cases/clinical-docs)