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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: AI type = generative; function = hr_workforce

Generated 2026-10-12 14:53 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: AI type = generative; function = hr_workforce · 13 records

Key findings

  • 13 use-case records from 8 agencies: 7 deployed (54%), 2 pilots, 4 in development or acquisition, 0 retired, 0 with no stage reported.
  • 3 records are designated high-impact; 1 of them (33%) answered at least one minimum-practice question.
  • DHS, DOE, VA report 8 of 13 use cases (62%).
  • 100% of reported deployed use cases (7 of 7) are classified as generative or agentic AI.
  • Of 1 deployed high-impact use cases, 0 report a completed AI impact assessment and 0 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 77% of use cases. Where reported, 70% involve in-house development.

Governance evidence: all use cases in the current filter

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing010001213
AI impact assessment010001213
Independent review010001213
Ongoing monitoring010001213
Operator training010001213
Fail-safe010001213
Appeal process010001213
User and public consultation010001213

"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
DHS110 of 8
VA100 of 8
DOE100 of 8

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 13 records.

RecordAgency IDAgencyUse caseStage
R0617HHSDocument Review for Alignment with Executive Orders: Position DescriptionsDeployed
R1080FDIC-60FDICCriminal Background InvestigationDeployed
R1293DOL-23DOLWorkforce Recruitment Program (WRP) Website Chatbot AssistantDeployed
R1910DHS-2556DHSAI-Assisted Resume Screening ToolDeployed
R1955DHS-2451DHSPosition Description Generation and EvaluationDeployed
R2328VA-25-1471VAArticulate 360: AI AssistantDeployed
R3358DOE-497DOESmartPD CreatorDeployed
R1884DHS-2454DHSLIGER Generative AI ToolkitPilot
R2067VA-25-897VAEmployee Transactions for HR Decision-MakingPre-deployment
R2856TREAS-IRS-79TREASResume Ranking EnginePre-deployment
R3140PBGC -12PBGCPosition Description Analysis and ConsolidationPre-deployment
R3487DOE-630DOEHR Job PostingsPre-deployment
R3578DOE-720DOEHub Biography BuilderPilot

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