The Governed Execution Framework¶
The Kill Switch Most AI Strategies Are Missing¶
The governed execution framework is a rules-based enforcement engine that sits between AI agents and the systems they touch. Before an agent sends a message, writes a file, calls an API, or triggers a workflow, the framework intercepts the request, evaluates it against policy, and issues a verdict.
PERMIT. DENY. CONDITIONAL.
No verdict, no action. When placed in the execution path, the agent cannot complete governed actions without one.
This is AI dispatch governance in practice, closing what I call the AI Governance Gap — the moment between an agent deciding to act and the action reaching production.
Two Things at Once: Enforcement + Measurement¶
The framework does two things most AI safety tools don't combine in one architecture.
Enforcement¶
A rules-based engine that stops unauthorized AI agent actions before execution. Risk-tiered decisions govern what happens at each level — the highest tier is the kill switch, and it fires at the rule layer, not the model layer. The agent's confidence does not override it. The agent's reasoning does not override it.
Hope is not an architecture. The framework does not negotiate. It enforces.
Measurement¶
The framework produces an AQ Score™ for every governed agent, in real time, as a byproduct of enforcement.
The AQ Score is the independent measurement standard being built for governed autonomous action — a composite score from −3 to +13 across 13 binary dimensions of enforcement, evidence, isolation, and oversight. Independent. Auditable. Comparable across vendors, models, and deployments.
Designed as the AI-governance analog to FICO.
One engine. Multiple frameworks. Three fidelities of certainty.
- Tier 1 — AQ Quick Score™ (Free): Self-assessment, indicative score, ~10 minutes
- Tier 2 — AQ Score™ Long Form: Practitioner-led, industry-specific framework lens, audit-grade
- Tier 3 — Continuous Runtime AQ Score: Produced natively by the framework in production, real-time updates
Same −3 to +13 scale. The score becomes a journey, not a snapshot.
Learn About the AQ Score Standard →
Cross-Framework Alignment¶
95 mapped controls across 17 framework alignments, including NIST AI RMF, ISO 42001, EU AI Act, NIST CSF 2.0, SP 800-53 Rev 5.2.0, and FAA UAS/AAM governance.
Findings translate across regulatory regimes; the engine doesn't move.
Browse the Reference Library →
Regulatory Posture¶
As the EU AI Act (Article 14, human oversight) and the NIST AI Risk Management Framework (GOVERN function) raise the bar, the framework turns governance from a documentation exercise into a runtime guarantee.
The framework is cataloged in the NIST OLIR program as a Final Informative Reference Trifecta: Reference ID 220 (AI RMF 1.0), Reference ID 215 (CSF 2.0), and Reference ID 217 (SP 800-53 Rev 5.2.0) — all Final Informative References (public review concluded 2026-06-22 with zero comments). Catalog inclusion is an informative reference, not a NIST endorsement.
Built for the Boardroom Questions That Are Coming¶
Every board will eventually be asked the same question by their insurance carrier, their auditor, and their general counsel — and by their investors during due diligence:
"What's your AI's AQ Score™?"
Today, no one has a standard answer. This is the answer.
Patent Status¶
Patent-filed: Five USPTO provisionals filed in 54 days. 45 patent families. 334 total claims. Non-provisional consolidating all five, in preparation.
Engage¶
Built by Pharns Genece — architect of the governed execution framework and the AQ Score™ standard.