Five months of weekly build logs. Feels like a good time to take stock.
What exists today: a policy engine that evaluates agent intents against declarative rules and returns ALLOW, REVIEW, or BLOCK decisions with full explainability. A receipt system that captures every evaluation as a structured, immutable, queryable record. An execution lifecycle with claim/finalize semantics that prevents duplicate and dropped actions. RBAC with tenant isolation. A live interactive demo at authensor.com. SDK wrapper patterns for common agent frameworks.
What does not exist yet: the fleet view (designed but not built). Production-hardened connectors (Pilot stubs work, real integrations need security review). A billing model. Formal security audit. Multi-region deployment.
The honest gap between where we are and where we need to be for production deployment is mostly about hardening, not features. The core evaluation loop works. The receipt system works. The developer experience is clean. What is missing is the kind of boring, expensive work that turns a working prototype into something you trust with real money and real customer data.
Next priorities: finish the fleet view, build one real connector (probably GitHub) end-to-end with full security review, and start conversations with teams who want to be early Alpha users. The Pilot learning phase has produced a solid foundation. Time to start hardening.
If you are building AI agents and thinking about governance, try the demo. Feedback goes straight to me.