This traces how a request moves through our AI. We retrieve your data, choose a model, and check both the prompt and the response with enterprise guardrails, then hand a proposal to a reviewer who returns a grounded answer, while dry-runs and monitoring feed back to improve accuracy. Hover a node to read it, or click to pin it.
A general CoA AI pipeline, the same shape across our products.
Stages
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Implemented with
Tip: click a node to trace its connections · Flow animates the data path
About the named services. The AWS / AI services shown are real, generally-available capabilities (e.g. Amazon Bedrock Guardrails’ contextual-grounding and automated-reasoning checks, Amazon Textract, SageMaker Model Monitor). They illustrate one supported deployment; CoA’s platform is model- and provider-configurable, and a deployment can run fully self-hosted inside its own boundary.