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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
Stage1
High-impact
Topic
AI type
Sourcing
Vendor
Function1
Start year

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

Function: Claims and case processingStage: Deployed

Practice-by-practice evidence

Denominator: 9 records · use cases designated high-impact
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 testing9430000278%44% of 9
AI impact assessment9340000278%33% of 9
Independent review9340000278%33% of 9
Ongoing monitoring9430000278%44% of 9
Operator training9340000278%33% of 9
Fail-safe9330100278%38% of 8
Appeal process9230110278%29% of 7
User and public consultation9240001278%22% of 9

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
DOJ0%0%0%0%0%0%0%0%3
DHS100%67%67%100%67%100%100%67%3
VA––––––––2
SSA100%100%100%100%100%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

6 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
Verification Match Model
DHS · DHS-2384
DeployedReported in placeReported in progressReported in progressReported in placeReported in progressReported in placeReported in placeReported in progress
Palantir (via access to external state LE system)
DOJ · DOJ-0025
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progress
Medical Claims Adjudication
DOJ · DOJ-0156
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progress
Truview
DOJ · DOJ-0168
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progress
Automated Claims Processing
VA · VA-24-1938
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
Automated Decision Support
VA · VA-24-4722
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported

Unanswered analytical questions

Generated from the data; for follow-up with agencies
  1. 4 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. 1 high-impact use cases mark an appeal process as not applicable. On what basis was each individual outcome judged not contestable?
  3. 4 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.