AWS Marketplace / Amazon EKS

AWS Deployment & Implementation Videos

See why the Bounded Agentic AI Workflow Engine is structurally different, how it operates inside a buyer-owned AWS environment, and how a platform team deploys and validates the authorized release on Amazon EKS.

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Executive overview · 1:31

Plausible output is not enough

Start with the enterprise problem: unrestricted model output is not equivalent to an admissible workflow action. The engine converts approved policy into structural execution bounds.

Governance is embedded in model adaptation rather than applied as a post-filter.

Only policy-admissible workflow actions remain selectable at inference.

The runtime is customer-hosted and designed for regulated operations.

Architecture · 3:43

Policy-bound models in a buyer-owned AWS environment

Review the complete lifecycle from enterprise policy and topology compilation to qualification, controlled deployment, governed inference, observability and Marketplace metering.

Private Amazon EKS and Amazon RDS inside the buyer-owned environment.

Buyer-controlled Amazon S3, AWS KMS, IAM/IRSA and CloudWatch services.

Separate commercial delivery, user ingress and AWS-operated metering paths.

Developer & DevOps quickstart · 5:59

Deploy, validate and operate the authorized release

Follow the buyer-facing engineering path from package integrity and AWS context through IRSA, Kubernetes Secrets, values rendering, local preflight, atomic installation and private runtime checks.

Authorized package, checksums, release manifest and node scheduling contract.

IRSA workload identity, secure Secrets and private-by-default Helm values.

Atomic installation, health, readiness, qualification and controlled operations.

Continue with the authorized AWS release.

Use the public AWS Marketplace listing to start the subscribed buyer flow, then follow the deployment guide for the exact buyer-facing commands used to install and validate the Amazon EKS release.

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