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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Governance and accountability

Governance evidence

What agencies reported about the OMB M-25-21 minimum practices for high-impact AI. This is a disclosure analysis, not an audit, a compliance finding or an official assessment. An unanswered question is missing evidence, not evidence that a safeguard is absent.

Agency
Stage
High-impact
Topic
AI type1
Sourcing
Vendor1
Function
Start year

Only records with a parseable start date match a year filter.

AI type: Classical / predictive MLVendor: Deloitte

Practice-by-practice evidence

Denominator: 6 records · all use cases in the current filter
Reported in placeReported in progressNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing6100000517%17% of 6
AI impact assessment6010000517%0% of 6
Independent review6010000517%0% of 6
Ongoing monitoring6100000517%17% of 6
Operator training6100000517%17% of 6
Fail-safe6100000517%17% of 6
Appeal process6100000517%17% of 6
User and public consultation6100000517%17% of 6

Answered = records with any answer ÷ records in scope. In place of applicable = reported in place ÷ (in scope minus not applicable, precluded and waived). Unanswered records stay in that denominator, so the rate is a lower bound on reported evidence, not an estimate of real practice.

Agency-by-safeguard heatmap

Cell: share reported in place, among applicable recordsIn placeAnswered
Agency by governance practice
TestingImpact assess.Indep. reviewMonitoringTrainingFail-safeAppealConsultationn
HHS––––––––4
HUD––––––––1
STATE100%0%0%100%100%100%100%100%1

Hatched cells: the agency answered nothing for that practice, so there is no evidence either way. Compare agencies with care: each agency is one reporting unit, and portfolios differ in size and type.

Records requiring further investigation

6 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
Renamed: 356H Machine Learning (ML) Facility Supply Chain Role Classification Previously: 356H ML Facility Supply Chain Role Classification
HHS · R0816
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
DAIT AIDS-Related Research Solution
HHS · R0912
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
Federal IT Acquisition Reform Act (FITARA) Tool
HHS · R0916
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
TB DEPOT (Tuberculosis Data Exploration Portal)
HHS · R0974
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
Counterparty Risk Anomaly Detection
HUD · HUD-2024-001
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
AI-Augmented Declassification Review
STATE · R3213
DeployedReported in placeReported in progressReported in progressReported in placeReported in placeReported in placeReported in placeReported in place

Unanswered analytical questions

Generated from the data; for follow-up with agencies
  1. 1 high-impact use cases are reported as deployed while their AI impact assessment is reported in progress. Was deployment authorised before the assessment was complete?

These are questions the inventory raises but cannot answer. They are not findings of non-compliance.