Sold by: Chaos Gears
This assessment is for organizations currently using OpenAI models (e.g., via API) who are considering a move to Amazon Bedrock. Companies often find themselves with all their infrastructure running on AWS except for LLM usage from other clouds.
Chaos Gears cloud architects will evaluate your current generative AI use cases, assess technical and business feasibility of a migration to Bedrock and recommend specific foundation models and integration strategies. You'll receive a structured migration plan, including code-level guidance, evaluation metrics and business case implications. Whether you're looking to reduce vendor lock-in, improve cost-efficiency, or streamline operations using native AWS services, this program helps you make the right call – backed by technical due diligence.
Overview
Thinking about shifting your generative-AI workloads from OpenAI to Amazon Bedrock? Our Migration Assessment gives you a clear, data-backed answer. Chaos Gears architects and ML engineers inspect your current application, map OpenAI features such as function calling, embeddings and chat orchestration to the most suitable Amazon Bedrock models (Claude 4 Opus, Claude 3.7, Amazon Nova and more) and quantify the business, cost and compliance impact of a switch. You receive a phased action plan, sample code in boto3/LiteLLM and an objective “go / no-go” recommendation so you can proceed with confidence—or safely stay where you are.
Our program delivers that clarity in four focused steps:
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Kick-off workshop We align on goals, success metrics, target regions, security constraints and decision deadlines.
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Application deep dive Your team walks us through prompt flows, function calls, vector usage, eval harnesses and deployment topology. We ingest logs (opt-in), throughput metrics, cost reports and compliance requirements.
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Migration blueprint Chaos Gears architects map each OpenAI capability to candidate Bedrock models and tooling.
We produce:
- side-by-side model comparison (accuracy, latency, token limits)
- cost forecast at your observed traffic patterns
- sample refactor in boto3/LiteLLM with feature parity
- Read-out & roadmap We deliver a concise report, executive summary and live walkthrough. You get a go/no-go verdict, effort estimate and optional Statement of Work if you choose to proceed with Chaos Gears for the full migration and cut-over.
We deliver a comprehensive report covering:
- Which Bedrock model(s) match your use case and why
- Estimated cost impact
- Migration steps (incl. code migration pointers)
- Risks and mitigation strategies
- Optional Statement of Work (SoW) to support the actual migration
The engagement typically takes 2–3 weeks and ends with a clear business and technical case to support your decision-making.
Highlights
- Objective business case: side-by-side cost, performance and compliance analysis so you know exactly when Bedrock is the smart move—and when it isn’t.
- Four-step framework—Kick-off, Deep Dive, Blueprint, Read-out—gives you a rapid yet thorough decision package without committing to a full migration.
- Chaos Gears has delivered 50+ production GenAI projects on AWS, covering regulated industries where data residency and audit trails matter.
Details
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Support
Vendor support
Tell us more about your challenges – email us at genai@chaosgears.com