Architecture Decision Records
Documented decisions that shape the architecture of production AI systems. Each ADR captures the context, decision rationale, and consequences of key technical choices.
Policy Outcome Model Design
Policy evaluation needs to return something the gateway can act on. Binary allow/deny works for firewalls, but enterprise AI needs more nuance.
Synchronous vs Async Communication Patterns
The system has multiple components that need to communicate: Gateway calls Policy Engine, policies write to Audit Logger, escalations go to HITL Queue, etc. Each interaction could be sync (caller waits for response) or async (fire-and-forget or eventual response).
Modular Monolith to Microservices Strategy
We could build this as microservices from day one or start as a monolith. The architecture has clear components—Gateway, Policy Engine, Audit Logger, HITL Queue, Model Router—that could be separate services.