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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
Function
Start year

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

AI type: Natural language processingmonitoring: affirmative

Practice-by-practice evidence

Denominator: 11 records · all use cases in the current filter
Reported in placeReported in progressNot applicableWaived by CAIOOther or ambiguous answerNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing11800000373%73% of 11
AI impact assessment11700000464%64% of 11
Independent review11900010191%90% of 10
Ongoing monitoring1111000000100%100% of 11
Operator training119100010100%82% of 11
Fail-safe116005000100%100% of 6
Appeal process11330400191%43% of 7
User and public consultation11500003373%45% of 11

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
DOE100%80%75%100%80%100%67%60%5
DOI––100%100%100%0%0%–3
DOL100%100%100%100%0%0%100%0%1
DHS100%100%100%100%100%100%0%100%1
FERC100%100%100%100%100%100%0%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

5 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
AI for Operations Center
DOE · DOE-10
DeployedReported in placeNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNo answer reportedReported in place
GitHub Copilot
DOE · DOE-586
DeployedReported in placeReported in placeReported in placeReported in placeReported in progressReported in placeNot applicableReported in place
DocketScope
DOI · DOI-0040
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
LLM-Assisted Volcanic Alert Monitoring
DOI · DOI-0109
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
ATLAS
DOI · DOI-0077
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported

Unanswered analytical questions

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