AI creative tools startup
Multi-account Landing Zone with Bedrock and managed GPU WorkSpaces — 100% Control Tower guardrail compliance from day one.
The customer needed to deploy AI image generation for creative professionals, but their single-account AWS setup lacked the security controls, access management, and auditability required for production AI workloads handling commercial content. Without enterprise governance they risked unauthorised model access, uncontrolled GPU cost growth, and an inability to demonstrate compliance to regulated-industry customers evaluating their platform — capping their addressable market.
A governance-first architecture using AWS Control Tower with a multi-account Landing Zone. Security OU (CloudTrail, AWS Config, Security Hub) separated from Workload OU (AI platform accounts). Amazon Bedrock provides managed foundation-model inference inside VPC. Amazon WorkSpaces GPU instances (G5/G6 Windows) deliver managed creative desktops with automatic patching and SSO. Service Catalog enforces approved resource configurations; Service Control Policies prevent users from disabling logging or accessing unapproved services.
100% compliance against Control Tower baseline guardrails from day one. Security Hub compliance scoring tracked continuously across all accounts. All resources provisioned through Service Catalog with zero manual console configuration. GPU WorkSpaces operational with managed lifecycle, automatic patching and SSO. Bedrock inference integrated within VPC with IAM-authenticated access. The governance foundation scales without retrofitting as the organisation grows.
Under the hood
Customer name redacted at the customer’s request. Numbers, services, and architecture are unchanged.
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