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

Custom inventory report

Filter: stage = pilot

Generated 2026-10-11 23:47 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: stage = pilot · 440 records

Key findings

  • 440 use-case records from 28 agencies: 0 deployed (0%), 440 pilots, 0 in development or acquisition, 0 retired, 0 with no stage reported.
  • 23 records are designated high-impact; 2 of them (9%) answered at least one minimum-practice question.
  • DOI, HHS, DOE report 234 of 440 use cases (53%).
  • Sourcing is reported for 98% of use cases. Where reported, 78% involve in-house development.

Lifecycle

StageRecordsShare
Pilot440100%

AI technology

ClassificationRecordsShareDeployed
Generative AI15435%0
Classical / predictive ML15535%0
Natural language processing6114%0
Computer vision307%0
Agentic AI184%0
Reinforcement learning20%0
Other153%0
Not reported51%0

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
DOI · Department of the Interior8900100%
HHS · Department of Health and Human Services8800100%
DOE · Department of Energy570699%
USDA · Department of Agriculture4700100%
DOJ · Department of Justice2507100%
TREAS · Department of the Treasury2200100%
NASA · National Aeronautics and Space Administration210098%
VA · Department of Veterans Affairs210775%
STATE · Department of State901100%
DHS · Department of Homeland Security801100%
FRB · Federal Reserve Board700100%
EPA · Environmental Protection Agency70094%
SEC · Securities and Exchange Commission50092%
NSF · National Science Foundation40025%
SSA · Social Security Administration401100%
SBA · Small Business Administration400100%
NTSB · National Transportation Safety Board300100%
FDIC · Federal Deposit Insurance Corporation300100%
GSA · General Services Administration30033%
EAC · Election Assistance Commission30094%

High-impact designation

DesignationRecords
High-impact23
Presumed high-impact, determined not10
Not high-impact399
Not reported8

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing110002123
AI impact assessment110002123
Independent review110002123
Ongoing monitoring020002123
Operator training110002123
Fail-safe200002123
Appeal process000202123
User and public consultation100012123

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

RecordAgency IDAgencyUse caseStage
R0011SEC-11SECEvaluating Cybersecurity AlertsPilot
R0029SEC-36SECAugmenting cyber threat alerts on the ACES platform with ACES's specific information.Pilot
R0032SEC-39SECAgentic Knowledge Base of Amazon Web Services Cloud Environment for the Securities and Exchange Commission (ACES)Pilot
R0037SEC-44SECWestlaw Co-CounselPilot
R0038SEC-45SECLexis ProtegePilot
R0083NTSB-0001NTSBVoice to text transcriptionPilot
R0085NTSB-0003NTSBDataminrPilot
R0086NTSB-0004NTSBFOIAXpress AI assistantPilot
R00899NSFAI voice overPilot
R009738NSFHand-written text extraction using Textract for the Public Engagement with Science InitiativePilot
R009949NSFTechnology, Innovation and Partnerships (TIP) Microsoft (MS) Copilot PilotPilot
R010356NSFComparison of proposal similarities at different levels of National Science Foundation (NSF) organizationPilot
R0110NASA-13NASAAnomaly detection in aeronautics data with quantum-compatible discrete deep generative modelPilot
R0245NASA-445NASAInstantaneous Clarity of Ambient eNvironment Capability (ICAN-C)Pilot
R0254NASA-487NASAAI Digital Assistants (HRP) [was "Doc in a Box" for Earth Independent Medical Operations (EIMO)]Pilot
R0255NASA-488NASAData Fracking (HRP)Pilot
R0270NASA-526NASADesign Optimization of Turbomachinery Rotor Blades using Neural Network Surrogate ModelsPilot
R0278NASA-539NASAChatGSFCPilot
R0281NASA-545NASAImplement machine learning in NMIS to assist with mishap codingPilot
R0394NASA-709NASAGenAI Agent for Interacting with Robots (https://github.com/nasa-jpl/rosa)Pilot
R0395NASA-711NASASLIM: Software Lifecycle Improvement & ModernizationPilot
R0396NASA-712NASAUsing LLMS for Documents and Requirements AnalysisPilot
R0412NASA-746NASAAI-enabled Risk-Informed Assessment Selection (RIAS) toolPilot
R0422NASA-798NASAAI Based Digital Twin Interoporability SchemaPilot
R0428NASA-808NASAAdversarial Policy Evolution via AIPilot
R0429NASA-809NASAAdaptive Problem Solving / Hyperparameter OptimizationPilot
R0433NASA-814NASATime Series Forecasting, Evaluation and Deployment (Time-FED)Pilot
R0434NASA-815NASAAI Risk-aware task and motion planning for snake-like robots in icy enviromentsPilot
R0455NASA-850NASARetrieving stratospheric NO2 profiles from OMPS Limb Profiler measurementsPilot
R0464NASA-861NASAQuantification of Uncertainty Analysis Toolkit (QUAnT)Pilot
R0498NASA-901NASACloud Account Allocation Plan (CAAP) Cost Analytics SupportPilot
R0524NASA-932NASAMachine learning for prediction and factor analysis of laser forming parametersPilot
R0527NASA-935NASARDUST Regolith Dust Universal System TrackerPilot
R0531CFTC-004CFTCMPD Entity Risk ModelingPilot
R0543HUD-2025-001HUDMicrosoft CopilotPilot
R0548FCC-0001FCCAI-Enhanced ULS Reverse EngineeringPilot
R0563FRB-0010FRBVariable OptimizationPilot
R0568FRB-0021FRBBody Worn Cameras Data Management SystemPilot
R0574FRB-0029FRBDecision Tree for Deposits DataPilot
R0575FRB-0031FRBNovel Activities Call Report ClassificationPilot

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