Overview
This case study documents conceptual understanding of GCP-oriented agentic workflow architecture with emphasis on control, observability, and review gates.
Role / Contribution
- Mapped service responsibilities, execution boundaries, state transitions, and review points for agentic workflow planning.
System Architecture
Step 01
Event Trigger
Step 02
Task Router
Step 03
Agent Worker
Step 04
Tool/API Layer
Step 05
State Store
Step 06
Review Gate
Primary Flow
Event Trigger→Task Router→Agent Worker→Tool/API Layer→State Store→Review Gate
Data Flow
- An event creates a bounded task request.
- A router classifies the task and assigns allowed tools.
- The agent worker executes within policy constraints.
- State and outputs are logged for review.
- Sensitive or low-confidence actions pause at a review gate.
Technical Components
Cloud Run concept
Pub/Sub event routing
Cloud Storage or database state
Service account boundaries
Logging and monitoring
Human approval gates
JSON Output Example
{
"task_id": "TASK-2041",
"trigger": "new_document_uploaded",
"allowed_tools": [
"extract_text",
"validate_schema"
],
"execution_status": "waiting_for_review",
"audit": {
"logs_written": true,
"reviewer_required": true
}
}Engineering Notes
- Agentic workflows should be scoped by permissions, task type, and review policy.
- Cloud architecture decisions should support auditability before expanding autonomy.
Key Takeaways
- Demonstrates GCP conceptual fluency.
- Shows understanding of bounded agent execution.
- Connects cloud workflow patterns with governance needs.