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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 = Science; AI type = generative; appeal = blank

Generated 2026-10-12 16:24 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 = Science; AI type = generative; appeal = blank · 62 records

Key findings

  • 62 use-case records from 7 agencies: 5 deployed (8%), 13 pilots, 43 in development or acquisition, 1 retired, 0 with no stage reported.
  • 4 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
  • NASA, DOE, HHS report 52 of 62 use cases (84%).
  • 100% of reported deployed use cases (5 of 5) are classified as generative or agentic AI.
  • Sourcing is reported for 37% of use cases. Where reported, 83% involve in-house development.

Lifecycle

StageRecordsShare
Deployed58%
Pilot1321%
Pre-deployment4369%
Retired12%

AI technology

ClassificationRecordsShareDeployed
Generative AI62100%5

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
NASA · National Aeronautics and Space Administration290063%
DOE · Department of Energy122486%
HHS · Department of Health and Human Services113085%
DOI · Department of the Interior50093%
USDA · Department of Agriculture30072%
VA · Department of Veterans Affairs10058%
TREAS · Department of the Treasury10058%

High-impact designation

DesignationRecords
High-impact4
Not high-impact58

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000044
AI impact assessment0000044
Independent review0000044
Ongoing monitoring0000044
Operator training0000044
Fail-safe0000044
Appeal process0000044
User and public consultation0000044

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

RecordAgency IDAgencyUse caseStage
R0694HHSATSDR Toxicological Assistant chatbotDeployed
R0977HHSProtein Modeling with AlphaFoldDeployed
R1022HHSEnhancing the RCDC with Generative AIDeployed
R3309DOE-431DOEAI-Enhanced Lab AssistDeployed
R3397DOE-540DOEOpenAI EnterpriseDeployed
R0149NASA-183NASAReconstruction of cloud vertical structurePre-deployment
R0245NASA-445NASAInstantaneous Clarity of Ambient eNvironment Capability (ICAN-C)Pilot
R0266NASA-512NASAAdvanced Air Mobility Digital AssistantPre-deployment
R0275NASA-535NASAATLASPre-deployment
R0276NASA-537NASANASA-GPT: Retrieval-Augmented Generation using NTRS and morePre-deployment
R0278NASA-539NASAChatGSFCPilot
R0279NASA-540NASAGeneral AI LLM Chatbot for NASA CUI Data: Accelerated Langley Transformation Initiative Research Assistant (ALTIRA)Pre-deployment
R0302NASA-581NASABackground matrix Generation with Stable DiffusionPre-deployment
R0330NASA-621NASAGiovanni GPTPre-deployment
R0391NASA-705NASAData Augmentation Pipeline for Zero-Shot Sim-to-Real Transfer in Vision-Based Robot NavigationPre-deployment
R0394NASA-709NASAGenAI Agent for Interacting with Robots (https://github.com/nasa-jpl/rosa)Pilot
R0401NASA-719NASATxP: Federated Data Discovery and Content Creation (FDDCC) KDP-Formulation (ITMX)Pre-deployment
R0404NASA-723NASAIntelligent Chatbot for Science using Microsoft CopilotPre-deployment
R0405NASA-732NASACache-Augmented Generation Document Search (converted to collective)Retired
R0419NASA-790NASAJSC NC PRA Cut Set ToolPre-deployment
R0420NASA-791NASAJSC SMA NT Paper WAD Data ExtractionPre-deployment
R0425NASA-805NASADecision Theoretic PlanningPre-deployment
R0426NASA-806NASACloud avoidance for Atmospheric Retrieval MissionsPre-deployment
R0427NASA-807NASADynamic, Intelligent, Tomographic ImagingPre-deployment
R0441NASA-832NASARAG Chatbots: Enhancing User and Internal Support Through Dual Knowledge SystemsPre-deployment
R0473NASA-871NASAPIX4DCloudPre-deployment
R0479NASA-877NASAUsing MML code generation to create new high-energy astrophysics science softwarePre-deployment
R0480NASA-878NASADiffusion Modeling of the Solar CoronaPre-deployment
R0504NASA-908NASAIV&V Requirements Quality & Traceability AnalysisPre-deployment
R0505NASA-909NASAIV&V Static Code & Implementation AnalysisPre-deployment
R0506NASA-910NASAIV&V Test AnalysisPre-deployment
R0507NASA-911NASAIV&V AI AssistantPre-deployment
R0508NASA-912NASAIV&V Process Accelerators through Generative AI CapabilitiesPre-deployment
R0518NASA-925NASABoundState (Compliance & Risk Engine)Pre-deployment
R0682HHSAssessing Large Language Models for Synthetic Survey Data GenerationPre-deployment
R0705HHSLeveraging AI for the Creation of Synthetic DatasetsPilot
R0716HHSAutomating Influenza Vaccine Virus Data ProcessingPilot
R0721HHSUsing Databricks Genie for Routine Immunization Data InsightsPilot
R0986HHSChIRP - A ChatGPT Model for the NIH Intramural CommunityPilot
R1003HHSAssist in research on the association between hearing loss and dementia for the NIDCD EARssentials hot topic presentationPre-deployment

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