SaaS & Technology
Azure OpenAI → AWS Bedrock migration
Move LLM features to Bedrock after consolidating on AWS, without users noticing.
How we approach it
- Inventory prompts, models, embeddings and provider-specific features
- Introduce a gateway so the app no longer calls one provider directly
- 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.
Related
More use cases.
Finance & Insurance
Claims intake & triage agent
Read claim documents and photos, check coverage and route claims automatically.
AI AgentsImage & VisionEvals & Guardrails
Open →
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 GatewaysEvals & Guardrails
Open →
Healthcare & Life Sciences
Clinical documentation assistant
Turn doctor–patient conversations into structured notes.
Voice AILLM Apps & CopilotsEvals & Guardrails
Open →
Next step
Let's talk about your AI system.
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