Diagnostic Walkthrough

How the Governance Diagnostic Works

This page explains the operating flow behind the public Execution Authority diagnostic so teams can understand what is evaluated, how the report is produced, and when a system may qualify for deeper founder review.

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Purpose

The diagnostic is designed to measure structural execution risk in automation architectures before unreliable behavior becomes a production problem.

Operating Rule

HQ explains the method and routes submissions. The live Execution Authority runtime performs the assessment and produces the report artifact.

Step-by-Step Process

1. Architecture IntakeThe operator provides company context, system profile, and answers a bounded set of governance questions covering AI authority, idempotency, state mutation, traceability, and orchestration behavior.

2. Governance Signal AnalysisThe vault evaluates the submission against core execution-governance signals such as replay exposure, recursive workflow risk, unsafe mutation pathways, and ownership ambiguity.

3. Architecture FingerprintThe system produces a structural fingerprint representing the architecture pattern so diagnostics remain comparable across submissions and over time.

4. Risk Driver IdentificationThe strongest contributors to execution risk are surfaced so teams can see which architectural traits most influence the classification.

5. Governance Report ArtifactThe submission is converted into a structured report containing risk classification, signal observations, recommended first fixes, benchmark context, and next-step guidance.

6. Founder Review PathwayQualified or higher-risk systems may proceed into founder-level analysis through the architecture review request path for deeper diagnostic and advisory work.

What is Evaluated

AI-to-state authority, financial mutation exposure, recursion controls, idempotency protections, traceability depth, and state ownership clarity.

What the Report Delivers

Governance score, classification, top risk drivers, signal audit visibility, benchmark framing, and a recommended first corrective action.

What Happens Next

Teams can use the public report internally, re-run the diagnostic after changes, or escalate into founder-reviewed stress test pathways.

Core Signal Families

Replay and duplicate side-effect exposure
Recursive automation chain risk
Unsafe AI mutation authority
State ownership conflicts
External orchestration boundary failures
Missing traceability and event visibility

Methodology Boundary

The diagnostic is an engineering and execution-governance assessment. It is not a legal opinion, security certification, or compliance attestation. Its purpose is structural reliability analysis for automation systems.

Review Methodology View Engagement Paths

From Explanation to Evaluation

Use the walkthrough, then enter the live diagnostic

Teams that understand the process can move directly into the public governance snapshot or escalate into a founder-reviewed architecture submission when higher-stakes systems require deeper scrutiny.

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