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

Custom inventory report

Filter: function = risk_scoring

Generated 2026-10-12 08:00 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: function = risk_scoring · 73 records

Key findings

  • 73 use-case records from 14 agencies: 37 deployed (51%), 8 pilots, 27 in development or acquisition, 1 retired, 0 with no stage reported.
  • 26 records are designated high-impact; 7 of them (27%) answered at least one minimum-practice question.
  • VA, DOJ, DHS report 50 of 73 use cases (68%).
  • 8% of reported deployed use cases (3 of 37) are classified as generative or agentic AI.
  • Of 13 deployed high-impact use cases, 3 report a completed AI impact assessment and 6 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 60% of use cases. Where reported, 64% involve in-house development.

Lifecycle

StageRecordsShare
Deployed3751%
Pilot811%
Pre-deployment2737%
Retired11%

AI technology

ClassificationRecordsShareDeployed
Generative AI811%3
Classical / predictive ML3852%23
Natural language processing1521%8
Computer vision68%3
Agentic AI45%0
Not reported23%0

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
VA · Department of Veterans Affairs1981366%
DOJ · Department of Justice1810784%
DHS · Department of Homeland Security139487%
HHS · Department of Health and Human Services87095%
EPA · Environmental Protection Agency41179%
NASA · National Aeronautics and Space Administration20058%
FRB · Federal Reserve Board20079%
SEC · Securities and Exchange Commission10058%
CFTC · Commodity Futures Trading Commission10017%
FDIC · Federal Deposit Insurance Corporation10058%
DOI · Department of the Interior100100%
TREAS · Department of the Treasury10058%
SSA · Social Security Administration111100%
DOE · Department of Energy110100%

High-impact designation

DesignationRecords
High-impact26
Presumed high-impact, determined not7
Not high-impact39
Not reported1

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing430001926
AI impact assessment340001926
Independent review340001926
Ongoing monitoring430001926
Operator training430001926
Fail-safe330101926
Appeal process030401926
User and public consultation140021926

"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.

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 73 records, deployed first. The full list is available as CSV from the explorer with the same filters.

RecordAgency IDAgencyUse caseStage
R0600HHSStructuring Notice of Concern DataDeployed
R0740HHSAI-assisted comment triaging toolDeployed
R0762HHSDocketscope Public Comment ProcessingDeployed
R0818HHSAnalytics-Driven Supplement Evaluation (ASE)Deployed
R0819HHSRenamed: FAR-based Facility Signal Detection Tool Previously: Post-market Surveillance Reports Signal Detection and Cluster Analysis.Deployed
R0878HHSFiler Evaluation prioritization using risk-based decision Machine Learning approachDeployed
R1033HHSGrantSolutions Recipient Risk ToolDeployed
R1500DOJ-0029DOJSouthwest Border Transaction Record Analysis Center (SWBTRAC)Deployed
R1503DOJ-0032DOJTransUnion TLOxp Online Investigative ServicesDeployed
R1541DOJ-0083DOJFinancial and Cryptocurrency Analysis: Federal PartnerDeployed
R1542DOJ-0084DOJFinancial and Cryptocurrency Analysis: Commercial SolutionDeployed
R1558DOJ-0107DOJServiceNowDeployed
R1569DOJ-0121DOJData Synthesis, Sentiment, Filtering, and Location LinkingDeployed
R1602DOJ-0160DOJPrisoner Assessment Tool Targeting Estimated Risk and Needs (PATTERN)Deployed
R1616DOJ-0174DOJExiger Supply Chain Risk Management - DDIQ Research EngineDeployed
R1617DOJ-0175DOJExiger Supply Chain Risk Management - DDIQ Due Diligence AnalyticsDeployed
R1692DOJ-0267DOJProcurement Data Triage ToolDeployed
R1889DHS-2390DHSCargo Security Assessment ModelDeployed
R1918DHS-181DHSAutomated Realtime Global Organization Specialist (ARGOS) for Company Registration Submissions to E-VerifyDeployed
R1936DHS-86DHSAgriculture Commodity Model (AGC)Deployed
R1937DHS-95DHSTrade Entity Risk ModelDeployed
R1946DHS-2434DHSUser and Entity Behavior Analytics (UEBA)Deployed
R1951DHS-372DHSUser Entity and Behavior Analytics (UEBA) for Security Operations (SecOps) Anomaly IdentificationDeployed
R1962DHS-94DHSCargo Classification ToolDeployed
R1963DHS-106DHSCritical Infrastructure Network Anomaly DetectionDeployed
R1989DHS-178DHSAdaptive Risk Model for Inspected Small Passenger VesselsDeployed
R205378EPARCRA PADeployed
R2227VA-25-2537VAHeuristic Behavior AnalyticsDeployed
R2242VA-24-1803VAAIDOC BriefCaseDeployed
R2294VA-24-5542VAVA CART SYNTAX Risk ModelDeployed
R2295VA-24-5583VAVA CART Mortality ModelDeployed
R2296VA-24-5624VAVA CART Nephropathy Risk ModelDeployed
R2299VA-24-5788VAVA CART Bleeding Risk ModelDeployed
R2344VA-24-3373VAAvicenna CINADeployed
R2360VA-25-5322VAValidateNowDeployed
R3103SSAProactive Triage and Analysis of Hearings (PATH)Deployed
R3290DOE-347DOENetwork Security and AnalysisDeployed
R0030SEC-37SECLarge Language Model analysis for the Tips, Complaints and Referrals (TCR) systemPre-deployment
R0148NASA-182NASARAMjET: RApid Machine lEarned Triage - AI to classify astrophysical phenomena in photometric lightcurvesPre-deployment
R0347NASA-646NASAMATISSE: MAchine inTelligence for Small SatellitEs - application of AI to permit autonomic science triage for small, power starved satellitesPre-deployment

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