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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: feedback = other

Generated 2026-10-12 18:23 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: feedback = other · 47 records

Key findings

  • 47 use-case records from 6 agencies: 28 deployed (60%), 9 pilots, 9 in development or acquisition, 1 retired, 0 with no stage reported.
  • 24 records are designated high-impact; 24 of them (100%) answered at least one minimum-practice question.
  • DOE, DHS, SSA report 39 of 47 use cases (83%).
  • 11% of reported deployed use cases (3 of 28) are classified as generative or agentic AI.
  • Of 23 deployed high-impact use cases, 19 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 100% of use cases. Where reported, 43% involve in-house development.

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing213000024
AI impact assessment195000024
Independent review195000024
Ongoing monitoring186000024
Operator training194001024
Fail-safe153060024
Appeal process700170024
User and public consultation000024024

"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
DHS141462 of 96
SSA6638 of 44
DOE228 of 14
DOL115 of 7
USDA115 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

First 40 of 47 records, deployed first. The full list is available as CSV from the explorer with the same filters.

RecordAgency IDAgencyUse caseStage
R1292DOL-22DOLPII RedactionDeployed
R1330USDA-025USDAVideo Surveillance SystemDeployed
R1885DHS-185DHSBabelDeployed
R1886DHS-2380DHSPassive Body ScannerDeployed
R1888DHS-2389DHSPassenger Security Assessment ModelDeployed
R1889DHS-2390DHSCargo Security Assessment ModelDeployed
R1890DHS-2391DHSIllicit TradeDeployed
R1898DHS-2570DHSTraffic JamDeployed
R1900DHS-2669DHSLand Border IntegrationDeployed
R1902DHS-315DHSERNIEDeployed
R1904DHS-80DHSTraveler Entity ResolutionDeployed
R1907DHS-2457DHSFacial Recognition for Locating Vulnerable PopulationsDeployed
R1908DHS-2458DHSFacial Recognition for National Security InvestigationsDeployed
R1909DHS-2459DHSFacial Recognition for Investigations of Transnational Criminal OrganizationsDeployed
R1913DHS-362DHSFacial Recognition for Investigations of Child Sexual Exploitation and AbuseDeployed
R3096SSAIntelligent Medical Language Analysis Generation (IMAGEN)Deployed
R3100SSAPre-Effectuation Review (PER) / Targeted Denial Review (TDR) ModelsDeployed
R3101SSAContinuing Disability Review ModelDeployed
R3102SSASocial Security Income (SSI) Redetermination ModelDeployed
R3103SSAProactive Triage and Analysis of Hearings (PATH)Deployed
R3104SSAQuick Disability Determinations ModelDeployed
R3316DOE-438DOEServiceNow Virtual AgentDeployed
R3322DOE-444DOECopilot StudioDeployed
R3327DOE-452DOECopilot for Microsoft 365Deployed
R3419DOE-563DOEServiceNow Classification PredictionDeployed
R3468DOE-613DOELivChatDeployed
R3493DOE-637DOEServiceNow Cluster AnalysisDeployed
R3499DOE-643DOEServiceNow Similarity AnalysisDeployed
R1877DHS-2745DHSFLIR 280 HDPilot
R3183SBA-24SBASecure IL5 AIRetired
R3186SBA-30SBASBA.gov External Customer ChatbotPre-deployment
R3187SBA-31SBAPredictive AIOpsPre-deployment
R3188SBA-32SBAData Analysis and Visualization AIPre-deployment
R3189SBA-33SBADeveloper Code Assistant AIPre-deployment
R3190SBA-34SBADeveloper Code Assistant AIPre-deployment
R3373DOE-514DOEBernie-AI: Infrastructure Planning Support POCPilot
R3384DOE-526DOEOpenAI ChatGPT PilotPilot
R3386DOE-529DOENIF Shot Analytics & Predictive Maintenance Support PilotPilot
R3430DOE-574DOEM365 CopilotPilot
R3457DOE-601DOExAI Grok PilotPilot

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