How do I scope the High-Impact AI audit?

Use the brass 'Prepare evidence for High-Impact AI review' button. First evidence record within 21 days of access; re-runs in a single business day.

High-Impact AI.

Prepare evidence for High-Impact AI review

Buyer translation: this reference page maps the mark to a tool, system, control, deployment, or evidence question. M-25-21 risk class · 7 minimum practices · the pre-deployment testing obligation · High-Impact AI is a binding federal directive — a thing an agency or contractor MUST do, on a clock. Planisphere produces the pre-deployment and ongoing-monitoring artifacts the directive demands, each pinned to the paragraph that compels it.

Reviewed 2026-07-02

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What this is.

Sixty-nine marks · cite-anchors for every regulatory regime Planisphere maps to · postmark idiom · single distinctive brass glyph per control · universal classifier · pSEO surface

Use. M-25-21 risk class · 7 minimum practices · the pre-deployment testing obligation.

Source. balance scale · brass decision beam.

Register. 09 · Compliance controls — one of the ten registers of the PLANiSPHERE corpus library.

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Promise. compliance

The contract this mark binds — derived, not asserted.

High-Impact AI is a binding federal directive — a thing an agency or contractor MUST do, on a clock. Planisphere produces the pre-deployment and ongoing-monitoring artifacts the directive demands, each pinned to the paragraph that compels it.

Answers: What does High-Impact AI require, and what evidence can support review?

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See it work.

Evidence record you can check — not code you have to trust.

Planisphere measures your tool deployment against High-Impact AI and seals the result into a signed, Merkle-rooted evidence record. The grade recomputes on your own hardware; the model state never crosses the boundary.

Prepare evidence for program review →See how a record is checked

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What it requires.

The obligation this regime imposes — and the honest ceiling. Federal directive

High-impact AI is OMB M-25-21's single consolidated category for AI whose output is a principal basis for decisions or actions with a legal, material, binding, or significant effect on rights or safety. Crossing that threshold triggers seven minimum risk-management practices, of which pre-deployment testing and ongoing monitoring are the two that demand reproducible measurement evidence.

What the evidence record proves.

Discharges the pre-deployment testing practice with a reproducible behavioural baseline
Discharges the ongoing-monitoring practice with a drift-tracked re-run record
Provides the sha-pinned behavioural record on which a high-impact determination can rest

What this does not prove. The classification itself — whether a given system is high-impact — is the agency's legal determination, not the record's. Planisphere supplies the behavioural record underneath that determination; it does not make it.

Cite-anchor: OMB Memorandum M-25-21 (Accelerating Federal Use of AI) · High-impact AI definition and seven minimum practices

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Questions this answers.

2 high-intent questions buyers search — each on its own page, each pinned to High-Impact AI.

What does OMB M-25-21 require for high-impact AI? Read the answer → What counts as "high-impact AI" under the federal AI memo? Read the answer →

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The artifact this directive asks for.

Related marks, and the surface this one funnels to.

High-Impact AI asks for an evidence record: High-impact AI is OMB M-25-21's single consolidated category for AI whose output is a principal basis for decisions or actions with a legal, material, binding, or significant… The defense AI workflow produces that record — see how it runs at /defense.

OMB M-25-21 reg 09 · Federal AI use · Chief AI Officer · high-impact minimum practices (issued 2025-04-03) OMB M-25-21/22 reg 09 · federal AI risk-management + acquisition OMB M-25-22 reg 09 · Federal AI acquisition · anti-lock-in · performance/risk monitoring clauses

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