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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
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Federal AI Intelligence · U.S. Government AI Observatory

Governance disclosure assessment

Filtered: high-impact = high_impact; function = summarization

Generated 2026-10-14 14:45 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: high-impact = high_impact; function = summarization · 21 records

Key findings

  • 21 use-case records from 5 agencies: 6 deployed (29%), 2 pilots, 13 in development or acquisition, 0 retired, 0 with no stage reported.
  • 21 records are designated high-impact; 2 of them (10%) answered at least one minimum-practice question.
  • VA, DOJ, DHS report 19 of 21 use cases (90%).
  • 33% of reported deployed use cases (2 of 6) are classified as generative or agentic AI.
  • Of 6 deployed high-impact use cases, 0 report a completed AI impact assessment and 4 leave every minimum-practice field blank.
  • Interpretation: Blank practice fields are missing evidence, not evidence that a safeguard is absent. They mark where follow-up questions to the agency are most useful.
  • Sourcing is reported for 38% of use cases. Where reported, 38% involve in-house development.

Governance evidence: deployed high-impact use cases

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing1100046
AI impact assessment0200046
Independent review0200046
Ongoing monitoring1100046
Operator training1000146
Fail-safe1100046
Appeal process0101046
User and public consultation1100046

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Agencies with high-impact records

AgencyHigh-impactAnswered any practicePractice answers in place
VA1000 of 80
DOJ600 of 48
DHS310 of 24
NASA100 of 8
STATE115 of 7

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

  • Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
  • A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
  • Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
  • The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
  • This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

All 21 records.

RecordAgency IDAgencyUse caseStage
R0416NASA-753NASAIntelligent Camera Analytics for Security and OperationsDeployed
R1912DHS-2666DHSLicense Plate Capture and AnalysisDeployed
R2233VA-24-4722VAAutomated Decision SupportDeployed
R2305VA-25-1506VAContinuous Glucose Monitoring SummaryDeployed
R2308VA-25-2168VASleep ApneaDeployed
R3248STATEElectronic Health Record AI EnhancementsDeployed
R1622DOJ-0185DOJFinCEN Data SummarizationPre-deployment
R1627DOJ-0190DOJNarrative Analysis for Fusion DesktopPre-deployment
R1628DOJ-0191DOJNarrative Analysis for DOJ MISPre-deployment
R1668DOJ-0243DOJVoicemail Transcription, Translation and SummarizationPilot
R1713DOJ-0288DOJImmigration Case and Filing Content SummaryPre-deployment
R1772DOJ-0347DOJAI Evidence and Claim ConsolidationPre-deployment
R1790DHS-2705DHSSmartphone Information Forensics TriagePre-deployment
R1799DHS-2399DHSElectronic Evidence/Video Recording Transcription and Summarization ToolPre-deployment
R2082VA-25-6276VASummarization of Clinical DataPre-deployment
R2086VA-25-1594VAAutomated Ratings SummarizationPre-deployment
R2097VA-24-3365VASummarize Progress NotesPre-deployment
R2109VA-25-1430VADeduplication in Record ManagementPre-deployment
R2117VA-25-3149VAAmbient Scribing with Patient Chart ExplorationPre-deployment
R2118VA-25-3415VAJLV BoosterPre-deployment
R2207VA-24-421VAPatient Care Services Integration Platform (PCSIP)Pilot

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory