Microsoft Azure / AKS

Azure Deployment & Implementation Videos

See how the Bounded Agentic AI Workflow Engine governs workflow admissibility, operates inside a customer-controlled Azure environment, and is deployed by an implementation team on Azure Kubernetes Service.

Open Azure Marketplace Return to Golem Tech

Product story · 2:02

How workflow admissibility is governed

Start with the business problem: AI proposes actions, while the governed workflow engine evaluates those proposals against approved enterprise constraints before downstream execution.

Candidate actions remain proposals until validated.

Non-admissible actions are removed from the executable space.

Ambiguous cases can be escalated rather than silently accepted.

Architecture · 1:39

Azure implementation overview

Review the Azure-native deployment model, from executable workflow policies and governed runtime services to the supporting AKS, storage, database, secrets, and observability components.

Customer-controlled Azure environment and Kubernetes runtime.

Policy, model lifecycle, inference, and evidence services.

Azure-native storage, identity, secrets, and monitoring integration.

Developer quickstart · 3:24

Deploy and validate the AKS control plane

Follow the implementation lifecycle from prerequisites and preflight validation through Helm installation, policy validation, managed training, governed model deployment, monitoring, and cleanup.

CNAB preflight, Helm deployment, identity, and secrets.

Policy APIs, GPU training jobs, and model artifact promotion.

Endpoint validation, Kubernetes monitoring, and cleanup.

Continue through Azure Marketplace.

Use the validated AKS offer for procurement, or contact Golem Tech to discuss the deployment architecture, evaluation scope, and implementation path for your environment.

Open Azure Marketplace Discuss an Azure deployment