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

Custom inventory report

Filter: topic = Service Delivery; AI type = generative; testing = blank

Generated 2026-10-12 14:02 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: topic = Service Delivery; AI type = generative; testing = blank · 49 records

Key findings

  • 49 use-case records from 17 agencies: 8 deployed (16%), 7 pilots, 34 in development or acquisition, 0 retired, 0 with no stage reported.
  • 1 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
  • TREAS, USDA, HHS report 23 of 49 use cases (47%).
  • 100% of reported deployed use cases (8 of 8) are classified as generative or agentic AI.
  • Sourcing is reported for 29% of use cases. Where reported, 64% involve in-house development.

Lifecycle

StageRecordsShare
Deployed816%
Pilot714%
Pre-deployment3469%

AI technology

ClassificationRecordsShareDeployed
Generative AI49100%8

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
TREAS · Department of the Treasury100058%
USDA · Department of Agriculture71070%
HHS · Department of Health and Human Services62079%
DHS · Department of Homeland Security31172%
VA · Department of Veterans Affairs30058%
SEC · Securities and Exchange Commission20058%
HUD · Department of Housing and Urban Development21079%
NEA · National Endowment for the Arts20058%
GSA · General Services Administration20033%
DOL · Department of Labor21079%
DOJ · Department of Justice220100%
EPA · Environmental Protection Agency20079%
DOI · Department of the Interior20092%
NASA · National Aeronautics and Space Administration10058%
SSA · Social Security Administration100100%
PBGC · Pension Benefit Guaranty Corporation10042%
STATE · Department of State100100%

High-impact designation

DesignationRecords
High-impact1
Not high-impact45
Not reported3

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000011
AI impact assessment0000011
Independent review0000011
Ongoing monitoring0000011
Operator training0000011
Fail-safe0000011
Appeal process0000011
User and public consultation0000011

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

RecordAgency IDAgencyUse caseStage
R0540HUD-2024-004HUDVoice of the CustomerDeployed
R1032HHSGrantSolutions AI Writing AssistantDeployed
R1035HHSGrantSolutions Helpdesk AgentDeployed
R1293DOL-23DOLWorkforce Recruitment Program (WRP) Website Chatbot AssistantDeployed
R1463USDA-165USDARecreation One Stop use of AIDeployed
R1594DOJ-0150DOJDescriptDeployed
R1614DOJ-0172DOJWellsaidDeployed
R1986DHS-2604DHSAskTSADeployed
R0030SEC-37SECLarge Language Model analysis for the Tips, Complaints and Referrals (TCR) systemPre-deployment
R0052SEC-59SECRule and Comment Organization and SummarizationPre-deployment
R0410NASA-743NASAAsk Tech PortPre-deployment
R0545HUD-2025-003HUDEmail AssistantPre-deployment
R0556NEA-0003NEACategorizing Grant Subjects from Grant ApplicantsPre-deployment
R0557NEA-0004NEAExternal "Public Facing" ChatbotPre-deployment
R0749HHSResource Library AssistantPre-deployment
R0813HHSAI to Improve Public Access to the Administrative Appeals ProcessPre-deployment
R0993HHSBDC Website SearchPre-deployment
R1036HHSGrantSolutions Non?Competing Continuation Review ToolPilot
R1163GSAFAS Catalog Platform - Virtual AssistantPilot
R1196GSAExpedited Transfer of Program of Requirements into Test Fit Layouts and Concept Design OptionsPre-deployment
R1311DOL-45DOLNLP Processing tool for ILABPre-deployment
R1353USDA-052USDAFSA FLP ChatbotPilot
R1423USDA-125USDAASKTERRAPre-deployment
R1467USDA-169USDANASS Data Dissemination AgentPre-deployment
R1471USDA-173USDAPublic Comments AnalysisPre-deployment
R1472USDA-174USDAVoiceover AppPre-deployment
R1474USDA-176USDAPHIS Export Library AssistantPre-deployment
R1800DHS-2305DHSUSCIS Document Translation ServicePre-deployment
R1836DHS-2712DHSAdministrative & Productivity Support for IRC Resource LibraryPre-deployment
R202927EPAAI Assistants in Esri ToolsPilot
R203656EPARelativityOne Gov aiRPre-deployment
R2144VA-25-5684VAFederal EHR End User Peer Support ChatbotPre-deployment
R2171VA-25-2036VAEducation Call Center (ECC) Next Gen POCPre-deployment
R2176VA-25-1975VAGenAI for KMPre-deployment
R2697DOI-0053DOIAssessment Inventory and Monitoring (AIM) ChatbotPre-deployment
R2739DOI-0005DOIBIA-GEO AssistPilot
R27453TREASRulemaking Comment AnalyticsPre-deployment
R275924TREASRegulatory Rule AnalysisPre-deployment
R276025TREASPublic Information AnalysisPre-deployment
R276432TREASFramework AnalysisPre-deployment

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