AI Workload Migration to AWS by Firemind

Overview: Moving an AI workload is not an endpoint swap. Models behave differently, prompts and guardrails need tuning, and the only test that matters is whether the workload still does its job. The risk is a switch that looks done and quietly gets worse. Built on Firemind's IT Operations Engine, this service runs the migration as governed code in your AWS account, and the same Engine runs each workload once it lands.

Four stages, contracted together or separately

• Assess. A portfolio of every AI workload, the AWS model and service for each, and the evaluation set and pass mark that will decide each cutover. Aligned to the Assess phase of the AWS Migration Acceleration Program (MAP): a readiness assessment based on the AWS Cloud Adoption Framework, a migration path for every workload, a business case with an AWS Pricing Calculator estimate, and a wave plan.
• Mobilize. Landing zone readiness, detailed discovery and planning for the first waves, a pilot migration, and MAP tagging set up so migrated workloads are tracked from day one.
• Migrate. Workloads moved to Amazon Bedrock, Amazon Bedrock AgentCore or Amazon SageMaker AI, with prompts and guardrails tuned for the target model, retrieval rebuilt on AWS, and each cutover gated on its evaluation passing.
• Operate. The Engine runs the migrated workloads: monitoring, incident remediation, patching and decay management such as end-of-life runtimes, with high-risk changes held for a named approver. Each wave lands in operations the day it passes acceptance.

Validated and governed

Every wave starts with acceptance tests agreed with your team: functional checks, performance baselines and data comparisons wherever data moves. They run before and after cutover, and every wave has a tested rollback. The Engine plans each change, raises it as code and runs it under your change rules. Low-risk, reversible steps run automatically. Cutovers and other high-risk changes wait for a named approver. Every action is recorded in an immutable audit trail and in your own AWS CloudTrail.

What is in scope

• Model selection and evaluation on your own tasks: quality, latency and cost per request
• Prompt, tool and guardrail migration, with Amazon Bedrock Guardrails for content controls
• Retrieval pipelines and vector stores rebuilt on AWS, with re-indexing validated against the source
• Agent migration to Amazon Bedrock AgentCore, with identity and tool permissions in your AWS account
• Throughput planning, on-demand and provisioned

What stays out of scope

New AI features on workloads already on AWS, and training a model from scratch, are separate engagements. Prompt and completion logs and training data are used only where you provide them for evaluation.

AWS programmes: Firemind holds the AWS Migration and Modernization Competency. Eligible migrations may qualify for MAP funding, and Firemind prepares the MAP documentation with your AWS account team. Where generative AI capability is added as part of the migration, it may qualify as an AI modernisation under MAP. Eligibility and funding are confirmed by AWS.

How it starts: After the private offer is accepted, you grant read-only access to the platforms that host your AI workloads and, optionally, your source control and deploy an IAM role in your AWS account using AWS CloudFormation. A full description of the role and its policy statements is provided before deployment. The Engine uses temporary credentials, and every action is recorded in your own AWS CloudTrail. Scope, acceptance tests and named approvers are agreed at the start of each stage.

Deployment: Pilot scopes run from Firemind's AWS environment. In production the Engine runs inside your own AWS accounts. Running the Engine, and the migrated workloads, may incur AWS infrastructure charges, for example Amazon Bedrock, compute and storage. These are billed separately from this AWS Marketplace transaction and are your responsibility.

Pricing: Delivered through an AWS Marketplace private offer, scoped to your estate. The four stages can be contracted together or separately. Contact hello@firemind.com  to scope.

About Firemind: AWS Premier Tier Services Partner with the AWS Migration and Modernization Competency. 200+ clients since 2018, ISO 27001 certified, in partnership with AWS, NVIDIA and Anthropic. Core markets: UK and Ireland, Finland, Germany and the Netherlands.