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

Governance disclosure assessment

Filtered: failsafe = affirmative; appeal = not_applicable

Generated 2026-10-15 22:50 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: failsafe = affirmative; appeal = not_applicable · 44 records

Key findings

  • 44 use-case records from 6 agencies: 27 deployed (61%), 8 pilots, 9 in development or acquisition, 0 retired, 0 with no stage reported.
  • 23 records are designated high-impact; 23 of them (100%) answered at least one minimum-practice question.
  • DHS, DOE, SBA report 36 of 44 use cases (82%).
  • 19% of reported deployed use cases (5 of 27) are classified as generative or agentic AI.
  • Of 21 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, 55% involve in-house development.

Governance evidence: deployed high-impact use cases

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing192000021
AI impact assessment192000021
Independent review192000021
Ongoing monitoring192000021
Operator training210000021
Fail-safe210000021
Appeal process000210021
User and public consultation120009021

"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
DHS151593 of 105
SSA5531 of 35
DOE228 of 14
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

First 40 of 44 records, deployed first. The full list is available as CSV from the explorer with the same filters.

RecordAgency IDAgencyUse caseStage
R1888DHS-2389DHSPassenger Security Assessment ModelDeployed
R1890DHS-2391DHSIllicit TradeDeployed
R1891DHS-2412DHSSupervised Traveler Identity Verification Services (Officer Initiated)Deployed
R1892DHS-2413DHSSemi-Supervised Traveler Identity Verification Services (Traveler Initiated)Deployed
R1893DHS-2414DHS3rd Party Traveler Identity Verification ServicesDeployed
R1895DHS-2416DHSTraveler Identity Verification Services (Vetting)Deployed
R1899DHS-2619DHSCBP LinkDeployed
R1900DHS-2669DHSLand Border IntegrationDeployed
R1901DHS-2731DHSMobile FortifyDeployed
R1902DHS-315DHSERNIEDeployed
R1903DHS-398DHSUnified Processing/Mobile IntakeDeployed
R1916DHS-345DHSPreCheck Touchless Identity SolutionDeployed
R1918DHS-181DHSAutomated Realtime Global Organization Specialist (ARGOS) for Company Registration Submissions to E-VerifyDeployed
R1921DHS-55DHSPerson-Centric Identity Services Deduplication ModelDeployed
R2057FERC-0001FERCSummarization & Policy Analysis for Regulatory Comments (originally Leverage AI in the Rulemaking Process Use Case)Deployed
R3096SSAIntelligent Medical Language Analysis Generation (IMAGEN)Deployed
R3102SSASocial Security Income (SSI) Redetermination ModelDeployed
R3103SSAProactive Triage and Analysis of Hearings (PATH)Deployed
R3121SSAVocational Assessment Assistant Tool (VAAT)Deployed
R3248STATEElectronic Health Record AI EnhancementsDeployed
R3322DOE-444DOECopilot StudioDeployed
R3327DOE-452DOECopilot for Microsoft 365Deployed
R3360DOE-499DOEArgoDeployed
R3440DOE-586DOEGitHub CopilotDeployed
R3501DOE-645DOEGeoreference FiguresDeployed
R3515DOE-659DOEGroundwater ModelingDeployed
R3532DOE-674DOEScriptingDeployed
R1877DHS-2745DHSFLIR 280 HDPilot
R2061FERC-0005FERCGas Blanket Certificates (Permitting)Pilot
R3116SSAPolicy Assistance Tool (PAT)Pilot
R3185SBA-29SBAOffice of Advocacy AI System-Prompt SuitePilot
R3187SBA-31SBAPredictive AIOpsPre-deployment
R3189SBA-33SBADeveloper Code Assistant AIPre-deployment
R3190SBA-34SBADeveloper Code Assistant AIPre-deployment
R3191SBA-35SBAAI Incident SummarizationPre-deployment
R3192SBA-36SBAAI Resolution Notes GenerationPre-deployment
R3193SBA-37SBAAI Vulnerability Ticket DeduplicationPre-deployment
R3194SBA-38SBAAI Vulnerability Remediation AssistancePre-deployment
R3195SBA-40SBAMulti-Agent OrchestrationPre-deployment
R3196SBA-41SBAAI-Powered Search and RecoveryPre-deployment

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