OpenAI on Amazon Bedrock Migration Assessment

Moving generative AI workloads between model providers is a cost decision and an engineering decision at once. Finance needs to know what the switch costs and when existing commitments allow it. Engineering needs to know what changes in code, prompts, agents, and retrieval, and whether output quality holds on the tasks that matter.

For the CFO and FinOps lead, Avahi's business plan compares the total cost of ownership of current Claude spend with the same workloads on OpenAI models on Amazon Bedrock, sets out the timing of existing commitments and reserved or provisioned capacity, and builds a return on investment case where the customer provides the business metrics to support it.

For the CTO, the VP of engineering, and the AI platform team, the migration plan maps each model and API to OpenAI models on Amazon Bedrock in the customer's target Regions, Claude tool use and agent code to Amazon Bedrock AgentCore, retrieval to Amazon Bedrock Knowledge Bases, and content filtering to Amazon Bedrock Guardrails. OpenAI model availability varies by AWS Region, so Region fit is checked up front, and anything without a direct equivalent is flagged with options. The plan covers the target architecture, code and prompt changes, migration waves, risks, and mitigations, plus an evaluation approach that tests output quality on the customer's own tasks before anything moves.

Scope is agreed before the engagement starts and the fee is fixed. Scope and timing are set with each customer. Carrying out the migration plan is scoped as a separate engagement.