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

Custom inventory report

Filter: AI type = classical_ml; sourcing = both; monitoring = blank

Generated 2026-10-12 22:41 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 = classical_ml; sourcing = both; monitoring = blank · 104 records

Key findings

  • 104 use-case records from 17 agencies: 74 deployed (71%), 22 pilots, 7 in development or acquisition, 1 retired, 0 with no stage reported.
  • 7 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
  • HHS, USDA, DHS report 50 of 104 use cases (48%).
  • 0% of reported deployed use cases (0 of 74) are classified as generative or agentic AI.
  • Of 6 deployed high-impact use cases, 0 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 100% of use cases. Where reported, 100% involve in-house development.

Lifecycle

StageRecordsShare
Deployed7471%
Pilot2221%
Pre-deployment77%
Retired11%

AI technology

ClassificationRecordsShareDeployed
Classical / predictive ML104100%74

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
HHS · Department of Health and Human Services27220100%
USDA · Department of Agriculture1250100%
DHS · Department of Homeland Security11110100%
VA · Department of Veterans Affairs109575%
DOJ · Department of Justice751100%
SEC · Securities and Exchange Commission660100%
TREAS · Department of the Treasury650100%
DOI · Department of the Interior51098%
DOE · Department of Energy50097%
DOT · Department of Transportation31081%
FTC · Federal Trade Commission320100%
HUD · Department of Housing and Urban Development220100%
DOL · Department of Labor220100%
STATE · Department of State210100%
NASA · National Aeronautics and Space Administration100100%
FDIC · Federal Deposit Insurance Corporation111100%
EPA · Environmental Protection Agency110100%

High-impact designation

DesignationRecords
High-impact7
Presumed high-impact, determined not9
Not high-impact88

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000077
AI impact assessment0000077
Independent review0000077
Ongoing monitoring0000077
Operator training0000077
Fail-safe0000077
Appeal process0000077
User and public consultation0000077

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

RecordAgency IDAgencyUse caseStage
R0017SEC-19SECName MatchingDeployed
R0018SEC-20SECParsing of Plain Language Descriptions to Machine-Readable NotationsDeployed
R0022SEC-24SECUsing Machine Learning/Artificial Intelligence Techniques to Predict Entities With Certain Risk CharacteristicsDeployed
R0024SEC-26SECIdentification of Potentially Manipulative Activity in Certain AccountsDeployed
R0027SEC-34SECSingle Event Insider Trading AnalysisDeployed
R0061SEC-68SECImprove efficiency of comment letter ingestionDeployed
R0537HUD-2024-001HUDCounterparty Risk Anomaly DetectionDeployed
R0538HUD-2024-002HUDSubledger Data Quality Machine LearningDeployed
R0622HHSAHRQ SearchDeployed
R0655HHSShort-term Forecasting of Severe Outcomes for Seasonal and Epidemic PathogensDeployed
R0678HHSRisk Assessment Module (RAM) for the National Diabetes Prevention Program (National DPP) Operations Center.Deployed
R0680HHSSequential Coverage Algorithm (SCA) and partial Expectation-Maximization (EM) estimation in Record LinkageDeployed
R0688HHSNowcasting Burden and Infection Trends for Seasonal and Epidemic PathogensDeployed
R0740HHSAI-assisted comment triaging toolDeployed
R0816HHSRenamed: 356H Machine Learning (ML) Facility Supply Chain Role Classification Previously: 356H ML Facility Supply Chain Role ClassificationDeployed
R0817HHSRenamed: Risk-based FAR Review & Decision Support Previously: Field Alert Reports (FAR) Prioritization ModelDeployed
R0832HHSResource Capacity PlanningDeployed
R0864HHSWarp Intelligent Learning Engine (WILEE)Deployed
R0867HHSProduct Label and Text Extraction System (PLATES)Deployed
R0876HHSMachine Learning as a Service: Translate and extract text from images using AIDeployed
R0877HHSMachine Learning as a Service: Extract data from product labels, business forms, and image filesDeployed
R0878HHSFiler Evaluation prioritization using risk-based decision Machine Learning approachDeployed
R0909HHSClinicalTrials.gov Protocol Registration and Results System Review AssistantDeployed
R0912HHSDAIT AIDS-Related Research SolutionDeployed
R0916HHSFederal IT Acquisition Reform Act (FITARA) ToolDeployed
R0919HHSInternal Referral Module (IRM)Deployed
R0972HHSResearch Area Tracking ToolDeployed
R0974HHSTB DEPOT (Tuberculosis Data Exploration Portal)Deployed
R1033HHSGrantSolutions Recipient Risk ToolDeployed
R1034HHSGrantSolutions Non?Competing Continuation Approval ToolDeployed
R1058FDIC – 32FDICAutomatically-Scored Writing Assessment (AWA)Deployed
R1210DOT-1000008DOTCertified Professional Controller (CPC) On-Board Success EvaluatorDeployed
R1291DOL-21DOLExpenditure Classification AutocoderDeployed
R1296DOL-27DOLWorker PLUS Microsimulation ProgramDeployed
R1321USDA-014USDAEcosystem Management Decision Support System (EMDS)Deployed
R1341USDA-039USDANutrition Education & Local Access DashboardDeployed
R1347USDA-046USDARangeland Analysis PlatformDeployed
R1379USDA-079USDAThe Big Data, Mapping, and Analytics Platform (BIGMAP) ProjectDeployed
R1388USDA-089USDAAI for regional forest mapping and monitoringDeployed
R1481DOJ-0006DOJAzure Data FactoryDeployed

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