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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
Vendor
Function1
Start year

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

AI type: Computer visionFunction: Document processing and extraction

Practice-by-practice evidence

Denominator: 6 records · deployed high-impact use cases
Reported in progressOther or ambiguous answerNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing6050000183%0% of 6
AI impact assessment6050000183%0% of 6
Independent review6050000183%0% of 6
Ongoing monitoring6050000183%0% of 6
Operator training6030002183%0% of 6
Fail-safe6050000183%0% of 6
Appeal process6050000183%0% of 6
User and public consultation6050000183%0% 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
DOJ0%0%0%0%0%0%0%0%3
DHS0%0%0%0%0%0%0%0%2
VA––––––––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
Mobile Fortify
DHS · DHS-2577
DeployedReported in progressReported in progressReported in progressReported in progressOther or ambiguous answerReported in progressReported in progressReported in progress
License Plate Capture and Analysis
DHS · DHS-2666
DeployedReported in progressReported in progressReported in progressReported in progressOther or ambiguous answerReported in progressReported in progressReported in progress
Unmanned Aerial Systems (UAS)
DOJ · DOJ-0003
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progress
Thomson Reuters CLEAR - License Plate Recognition
DOJ · DOJ-0048
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progress
Nlets Nationwide License Plate Reader Pointer Index
DOJ · DOJ-0198
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progressReported in progress
Venue Fit
VA · VA-24-4238
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. 5 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. 4 high-impact use cases report using PII but give no link to a Privacy Impact Assessment. Is a PIA published elsewhere?
  3. 2 governance answers are ambiguous (for example, an answer option from a different question). What did the agency intend?

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