Instrument Free diagnostic Frameworks Consulting

Human Signal · Field Instrument No. 01

The Two-Minute Governance Test

Find the sentence in your AI policy that decides which failures never reach leadership. Then rewrite it before an assessor, a regulator, or the failure itself finds it first.

Buy the instrument · $29

PDF · 17 pages · First Edition, July 2026
Instant download. Working time: one afternoon.

What this instrument does.

One sentence in your AI governance policy decides which failures reach leadership and which failures compound in silence. This instrument finds that sentence, names the pattern behind it, scores your exposure, and walks you through the rewrite.

Prerequisites: your own policy, and the willingness to read it as an assessor would.

The distinction the whole test turns on.

An evidence trigger fires when a defined condition gets met, whether or not anyone finds the condition alarming. Error rate crosses a documented baseline. A model touches data outside its authorized scope. Nobody's judgment stands between the condition and the escalation.

An obviousness trigger fires when a human judges the problem visible enough, severe enough, or explainable enough to escalate. Significant incidents. Material issues. Clearly harmful outputs. Every one of those words hands the trigger to a person, and hands that person a stopwatch, a calendar, and a boss.

A control that only fires when the harm is obvious is not a control. That's a headline detector.

The failures that destroy institutions are precisely the ones that fail the obviousness test. A model drifting three percent a quarter never looks significant in any single week. A retrieval system quietly ingesting out-of-scope records produces no outrage until the audit.

The Trigger Lexicon: ten phrases.

Ten phrases, each one an obviousness trigger wearing a compliance font. Your policy contains at least two. Most contain five. Four of the ten:

The instrument carries all ten, each with the reason it survives audit and fails in production.

What belongs in an AI escalation criteria policy.

Most teams searching for an AI incident response policy or an AI governance policy template are looking for the same missing thing: the criteria that decide when a human must act. A usable escalation criterion carries four properties, and a sentence missing any one of them will not fire under pressure.

A threshold, meaning a number, a boundary, or a named event that two reasonable people cannot dispute. A clock, stated in hours or days, because an escalation without a deadline is a suggestion with a routing slip. A name, held by one person rather than a committee, since alerts sent to everyone get read by no one. And no judgment verbs in the trigger sentence: assess, consider, evaluate, and determine belong in the disposition after the alarm fires, never in the decision of whether it fires.

Templates rarely supply those four. They supply the language that survives audit, which is a different goal from language that survives an incident. The gap between the two is where this instrument works.

Who runs this test.

Operators who own an AI system and the escalation path around it. Risk and compliance leads preparing for an assessment. Municipal and agency CISOs whose policy binder has never been read against the running environment. Anyone who would rather find the discretionary sentence themselves than have a regulator quote it back to them.

Contents.

Questions.

What this test cannot do.

An instrument that oversells itself is an obviousness trigger with a price tag. The test reads sentences, not systems. The test cannot verify that conditions actually fire. The test cannot score your controls against a standard. And the test cannot supply independence, because you just audited your own document, which is the right first move and the wrong last one.

Section 12 states each boundary plainly, and names the work that lives beyond them.

Licensing this for a team, a cohort, or client work? Let's talk about a team license.

Buy the instrument · $29

PDF · 17 pages · Instant download
Licensed for individual professional use.

Dr. Tuboise Floyd is Founder & Principal of Human Signal, an independent AI governance research and media platform, and host of The AI Governance Briefing, an Apple Top 100 podcast. PhD, Adult Education and Systems Theory, Auburn University. TAIMScore™ Certified Assessor, HISPI. Defense Compliance Partner. Author of The Pedagogy Problem in AI Governance (SSRN, 2026).

Govern the machine.
Or be the resource it consumes.