GCP Deployment & Implementation Videos
See how the Bounded Agentic AI Workflow Engine operates as a customer-hosted, policy-bound runtime on Google Kubernetes Engine, from C-suite positioning to architecture and operator-grade deployment validation.
AI may propose. Golem governs what can execute.
A board-level introduction to structural workflow governance for enterprise AI on Google Cloud, showing why admissibility must be enforced before downstream execution.
- Positions the runtime as a bounded execution layer for agentic workflows.
- Explains why reactive post-generation controls are not sufficient for governed enterprise action.
- Connects policy structure, evidence, and customer-hosted Google Cloud deployment.
Customer-hosted architecture for governed AI workflows.
The architecture video follows the deployment boundary, model lifecycle, GKE runtime topology, storage, database, messaging and observability services used by the Google Cloud implementation.
- Separates the partner tenant publication path from the customer tenant runtime path.
- Shows GKE, Artifact Registry, Cloud SQL, Cloud Storage, Pub/Sub and Workload Identity in context.
- Explains how policy-bound inference is anchored in the customer-controlled environment.
Deploy, verify, test and operate the GKE runtime.
A practical operator flow for authenticating to Google Cloud, enabling required services, binding Workload Identity, configuring the namespace, installing the runtime, validating health and operating day-two controls.
- Walks through scope, authentication, APIs, identity, configuration, install, verify, test, observe and operate.
- Highlights Workload Identity and externalized secret handling without embedding credentials in application code.
- Shows governed inference smoke testing and observable operational evidence.
Continue with the GKE deployment path.
Use the video page to brief executives, architects and platform operators, then follow the GKE deployment guide for the detailed implementation sequence in the customer-controlled Google Cloud environment.