Product Architecture

Built for Enterprise AI Operations, Not Demo Automation

The platform is engineered for operational continuity, strict governance, and production accountability.

Core Capabilities

Constitutional Policy Engine

Define draft/testing/active policy lifecycle with enforceable conditions, approvals, and fail-closed execution.

Durable Work Queue + Recovery

Database-backed queue with retry, DLQ, lease, and restart-safe processing to avoid silent work loss.

Event Runtime Checkpointing

Consumer checkpoints and catch-up replay prevent missed events after restart or transient downtime.

Issue Ticketing and Runbook Linking

Operational anomalies are turned into traceable issue tickets with severity routing and runbook guidance.

Controlled Self-Healing Loop

Rule execution can auto-remediate bounded incidents while preserving audit context and escalation paths.

Tenant Isolation by Default

Strict one-tenant-per-instance guardrails enforced at auth, policy, and runtime boundaries.

Layered System Design

Experience Layer

Guided workspace, monitoring console, issue center, and admin controls for daily operations.

Governance Layer

IAM role binding, policy governance, approval workflows, and remediation controls.

Runtime Layer

Event ingestion, durable queue orchestration, checkpoint replay, and integration adapters.

Execution Lifecycle

  1. Ingest event with schema + tenant validation.
  2. Evaluate policy conditions and governance level.
  3. Execute action, queue retries, or request human review/approval.
  4. Write audit evidence and open issue ticket on anomaly.