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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
Function
Start year

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

impact_assessment: blankmonitoring: in_progress

Practice-by-practice evidence

Denominator: 6 records · all use cases in the current filter
Reported in placeReported in progressNot applicableNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing6300000350%50% of 6
AI impact assessment600000060%0% of 6
Independent review6230000183%33% of 6
Ongoing monitoring60600000100%0% of 6
Operator training61500000100%17% of 6
Fail-safe61005000100%100% of 1
Appeal process60006000100%n/a of 0
User and public consultation63300000100%50% 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
DOI––0%0%0%0%0%0%3
DOE100%–67%0%33%100%0%100%3

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
Argo
DOE · DOE-499
DeployedReported in placeNo answer reportedNo answer reportedReported in progressReported in placeReported in placeNot applicableReported in place
GitHub Co-Pilot
DOE · DOE-571
DeployedReported in placeNo answer reportedReported in placeReported in progressReported in progressNot applicableNot applicableReported in place
Rangeland Condition Monitoring Assessment and Projection (RCMAP) [2024 INV#WO0000000107126]
DOI · DOI-0171
DeployedNo answer reportedNo answer reportedReported in progressReported in progressReported in progressNot applicableNot applicableReported in progress
Microsoft Co-Pilot
DOE · DOE-518
PilotReported in placeNo answer reportedReported in placeReported in progressReported in progressNot applicableNot applicableReported in place
CHS Q Business AI Assistant (theKraken)
DOI · DOI-0169
PilotNo answer reportedNo answer reportedReported in progressReported in progressReported in progressNot applicableNot applicableReported in progress
Lead attribution model
DOI · DOI-0152
Pre-deploymentNo answer reportedNo answer reportedReported in progressReported in progressReported in progressNot applicableNot applicableReported in progress

Unanswered analytical questions

Generated from the data; for follow-up with agencies

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