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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 type
Sourcing
Vendor
Function1
Start year

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

Function: Fraud, waste and improper payments

Practice-by-practice evidence

Denominator: 7 records · use cases that answered at least one practice question
Reported in placeReported in progressNot applicablePrecluded by law or guidanceOther or ambiguous answerNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing7410000271%57% of 7
AI impact assessment74300000100%57% of 7
Independent review7410000271%57% of 7
Ongoing monitoring7310000357%43% of 7
Operator training7310000357%43% of 7
Fail-safe7310100271%50% of 6
Appeal process7110310186%33% of 3
User and public consultation7310001271%43% of 7

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
DHS100%100%100%100%100%100%100%67%3
SSA50%0%–––50%0%50%2
DOJ0%0%0%0%0%0%0%0%1
FERC–100%100%–––0%–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

4 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
Data & Analytics: Healthcare Fraud Detection
DOJ · DOJ-0071
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progress
SSA 800# Public Question & Answer Bot and OIG Hotline recording of fraud, waste and abuse.
SSA · R3106
DeployedReported in placeReported in progressNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
Digital Identity Verification Services
SSA · R3122
DeployedNo answer reportedReported in progressNo answer reportedNo answer reportedNo answer reportedReported in placePrecluded by law or guidanceReported in place
Enhance Market Surveillance and Fraud Detection Use Case
FERC · FERC-0003
Pre-deploymentNo answer reportedReported in placeReported in placeNo answer reportedNo answer reportedNo answer reportedNot applicableNo answer reported

Unanswered analytical questions

Generated from the data; for follow-up with agencies
  1. 2 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?
  2. 2 high-impact use cases mark an appeal process as not applicable. On what basis was each individual outcome judged not contestable?
  3. 1 high-impact use cases report using PII but give no link to a Privacy Impact Assessment. Is a PIA published elsewhere?

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