This scenario shows how to use Stage0 as a pre-execution gate for AI-assisted deployments, migrations, and other production-changing actions.
The objective is not to automate deploy approval blindly. The objective is to make high-risk execution requests pass through a visible authorization layer that understands environment, approval, and runtime state before any control-plane tool is invoked.
Production-changing requests should declare the exact target environment before any tool call or deploy API request is allowed.
Deploys, migrations, and emergency actions should carry explicit approval evidence and business constraints into the authorization request.
If the runbook, rollback reference, or execution context is incomplete, the workflow should defer before touching production.
The orchestration layer prepares the intended deploy or migration action and sends it to Stage0 before the actual tool runs.
Policy checks review environment scope, approval state, loop counters, and other runtime constraints.
Only `ALLOW` continues to the CI/CD tool. `DEFER` routes into human review, and `DENY` stops execution entirely.
Store `request_id`, `policy_version`, approver identity, and final execution result together for incident review and compliance.
{
"goal": "Deploy the payments service and run a schema migration",
"tools": ["github_actions", "argo_cd", "slack"],
"side_effects": ["deployment", "database change", "external notification"],
"constraints": [
"approval required",
"required_role:platform_admin",
"allowed_environment:staging,production",
"max_iterations:3",
"timeout:300s"
],
"context": {
"run_id": "run_deploy_001",
"actor_role": "platform_admin",
"approval_status": "approved",
"approved_by": "[email protected]",
"approved_at": "2026-03-14T09:30:00Z",
"environment": "production",
"current_iteration": 1,
"elapsed_seconds": 18,
"current_tool": "github_actions",
"recent_tools": ["planner"],
"cumulative_cost_usd": 0.12
},
"pro": true
}Who requested the change
Which role they held at evaluation time
Which environment and tool path were targeted
Which policy version approved or denied the request
Iteration count and elapsed runtime at decision time
Approval timestamp and approver identity
Final execution result after the Stage0 verdict
Any rollback or deferred review outcome
A buyer should be able to inspect one blocked deploy, one deferred migration, and the exact request trace that explains both.