OpenAI Azure-to-AWS Migration Assessment
OpenAI is now on Amazon Bedrock. Consolidate your AI onto AWS - same models, one bill, one compliance boundary. Quantify the savings before your next EA renewal. With generous funding from AWS.
You chose Azure OpenAI because it was available first and fast to spin up. That made sense.
But now you have a problem.
Your data is on AWS. Your analytics are on AWS. Your applications are on AWS. Your security team manages AWS. Your budget is AWS. And your AI is somewhere else - with its own billing, its own IAM, its own compliance boundary and its own procurement cycle. Every month that split continues, you pay for it: egress fees moving data between clouds, dual identity systems your team has to maintain, two vendor contracts to renew, two audit trails to reconcile.
With OpenAI now GA on Amazon Bedrock, that split is no longer necessary. You can run the same OpenAI models inside your AWS account - with everything else you already run there.
The question is no longer “should we consolidate?” It’s “what does it cost us not to?”
Why Assess?
End the
Two-Cloud Tax
Consolidate billing, IAM, compliance and procurement into one AWS account. Stop paying cloud overhead twice.
Keep your
OpenAI models
Run the same GPT-class models on Bedrock with AWS networking, KMS and a single audit trail. No retraining, no prompt rewrites.
Build on AWS Data Gravity
Your S3, RDS, Redshift and Glue stay where they already live. No cross-cloud data movement, no latency from pulling data across regions.
How It Works
Phase 1: Assessment
(1 week)
We inventory your Azure OpenAI usage - prompts, models, dependencies, egress flows and Azure-specific features in use. We map your AWS-side data dependencies simultaneously, so we know exactly what consolidation looks like before the benchmarking starts.
Phase 2: Benchmarking
(1 week)
We run your Azure workloads against OpenAI on Bedrock. We measure latency, cost, feature parity and integration with your AWS data services. Where AWS-native alternatives like Claude or Nova fit, we benchmark those too.
Phase 3: Migration Plan
(1 week)
You get a per-workload migration roadmap, a consolidation savings model, a target AWS security architecture and a Go/No-Go timed to your Microsoft EA renewal window.
Who Is This For?
Organizations running Azure OpenAI alongside AWS infrastructure and looking to reduce complexity, duplication and cross-cloud costs
Companies approaching Microsoft EA renewals and evaluating whether Bedrock offers a better long-term fit for AI workloads
Finance and procurement leaders seeking cloud consolidation and greater visibility into AI spending and operational costs
Businesses building AI on AWS-native services such as S3, Redshift and OpenSearch that want to eliminate cross-cloud latency and egress costs
What Loka Delivers to You
Azure-to-AWS benchmark
Real workload performance, cost and feature parity - Azure OpenAI vs OpenAI on Bedrock, using your actual prompts and data.
Consolidation savings model
Egress fees, licensing, procurement overhead, identity costs - quantified per workload. A document your finance team can use.
Migration roadmap with EA timing
Sequenced around your Microsoft renewal window so you have the analysis in hand before the contract conversation.
Target AWS architecture + Go/No-Go
Security posture, data architecture and a board-ready executive summary.
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