Structural enforcement — not advisory guidelines — governing every agent action, approval flow, and authority boundary.
Hard structural enforcement. No single agent holds unchecked authority. Cannot be configured into an insecure state. The agent that writes code cannot approve its own deployment.
Defines which actions require approval, which role approves, and escalation paths on timeout. Budget exceeds, model upgrades, production deploys all gated.
Every action, tool call, handoff, approval, and exception recorded. Full trace trees from directive to final output. Nothing happens without a record.
Configurable policies with deny, warn, throttle, require-approval, and log actions. Spending thresholds, content approval gates, security review requirements.
Define service level targets per metric. Measure compliance over time windows. Response time, completion rate, quality scores per agent and department.
Council mechanism: N models deliberate independently, peer-rank anonymously, chairman synthesises. For high-stakes decisions requiring multiple perspectives.
Real-time health monitoring with adaptive sampling. Auto-fix with risk assessment. Human escalation on critical issues. Keeps the entire AI workforce stable.
Tracks policy violations, cost overruns, and quality failures with severity classification. Resolution workflow ensures nothing falls through the cracks.
42 pre-seeded agent positions across 8 departments with skill families, model tiers, tool permissions, and approval scopes. The complete org chart definition.
Enforced lifecycle transitions (draft → submitted → routed → in_progress → completed) with full audit history at every step.
Free, self-hosted, and working for you in minutes.
Qorven