AWS GenAI
Move generative AI from prototype to production on Amazon Bedrock, with retrieval grounding, access controls and managed inference cost.
What we do
We place Amazon Bedrock, grounded retrieval, inference economics and access controls in the path before a prototype becomes a production risk.
Our services
- Amazon Bedrock architectureModel selection, orchestration and isolation aligned to data classification — not a single shared experimental account.
- Retrieval that can be auditedEnterprise grounding with retrieval paths, chunking and citation behavior that can be explained. If the origin of an answer cannot be shown, it is not ready.
- Inference cost and latencyRouting, caching and evaluation so quality does not inflate cost unacceptably, and p95 latency remains usable.
- Responsible AI and access controlIdentity, content controls, human review where required, and observability from prompt to response. Unmanaged departmental prototypes are not a strategy.
How we engage
Use-case assessment. Which workflows require a model, which need retrieval, and which should remain deterministic. We will decline a demonstration that cannot be operated.
Production path. Bedrock landing zone, data grounding, evaluation harness and cost controls. Success is a capability the platform team will retain.
Scale with guardrails. Additional use cases on the same control plane, rather than a new prototype in each department.
Contact us
Speak with a Cloudhew architect about cost, security, migration or platform work.
Request a consultation →