Execution Governance Diagnostic
Analyze automation architectures for structural execution-governance risks such as replay behavior, recursive automation chains, unsafe mutation pathways, and missing idempotency protections.
This diagnostic evaluates a defined set of architecture signals to produce a governance risk classification and structured assessment report.
What This Diagnostic Evaluates
The diagnostic examines architecture signals that influence the reliability and safety of automation-heavy systems, particularly those using background workers, event pipelines, orchestrators, and AI decision layers.
Submission Path
Static HQ reference build shows the production form layout. Operational flow targets POST /api/snapshot and redirects to /report/{submission_id}.
Understand the report flow before you submit
Teams that want more context before running the governance snapshot can review the step-by-step diagnostic walkthrough, including intake, signal analysis, architecture fingerprinting, risk-driver identification, and founder review escalation.
Why this matters
The walkthrough clarifies what the diagnostic is evaluating, what the report will include, and when a system may benefit from deeper founder-reviewed analysis.
AI Direct State Mutation
Idempotency at Boundaries
Automated Financial Actions
Global Kill Switch
Background Worker Mutation Volume
Clear State Ownership
Event Traceability
External Orchestrator Authority
External Mutation Without Validation
Recursive Automation Chains
These signals contribute to the governance risk classification without exposing internal scoring weights.
- Governance Risk Score
- Risk Classification
- Architecture Signal Audit
- Risk Drivers
- Recommended First Fix
- Benchmark Interpretation
- Next-Step Recommendation
