Governance for AI-assisted development
The Agent Audit Orchestrator (AAO) coordinates cycles in which one agent implements and another agent audits the result. Its purpose is to reduce the risk of a system grading its own work without separation of responsibility.
Implemented
- local CLI for missions and resumable sessions;
- audit planning and execution with risk classification;
- owner gates for publication, deployment, billing, and other protected actions;
- independent verification, secret scanning, and persisted session state;
- fail-closed handling when evidence is missing or blocking findings remain;
- local resource, time, and cost controls.
Experimental or evolving
AAO is pre-release. Local documentation and tests demonstrate code behavior, but they are not evidence of a hosted commercial service or of integration in every CI environment.
Audience and use cases
Teams using AI agents to write code, operate repositories, or perform sensitive changes and needing evidence trails, independent review, and human supervision.
Security and governance
AAO is designed not to turn a local result into production authorization. Publication, deployment, billing, and protected-branch actions remain behind a human gate. AAO does not replace legal review, operational security, or system-owner accountability.
Commercialization
Future distribution and support models have not been approved. No price or commercial plan is announced on this page.
To follow development or discuss a demonstration, use the contact page.