Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
← All report templates
Federal AI Intelligence · U.S. Government AI Observatory

Agency AI profile

Department of Commerce (DOC)

Generated 2026-10-11 23:48 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: agency = DOC · 223 records

Key findings

  • DOC reported 223 use cases (6.2% of all records): 0 deployed, 0 pilots, 0 in development or acquisition, 0 retired, 223 with no stage.
  • 0 are designated high-impact; 0 of those answered at least one minimum-practice question.
  • Mean disclosure completeness is 1% of 12 core fields, ranking 41 of 41 agencies.
  • Sourcing is reported for 0% of records.

Portfolio

Technology

ClassificationRecordsShare
Not reported223100%

Topic areas

TopicRecordsShare
Not reported223100%

Governance disclosures (high-impact records)

No use cases designated high-impact.

Field completeness

FieldDOCAll agencies
Stage0%91%
High-impact designation0%88%
Topic area0%83%
AI classification0%82%
Problem11%84%
Benefits0%82%
Outputs0%79%
Sourcing0%44%
Start date0%39%
ATO0%43%
PII0%42%
Custom code0%47%

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

RecordAgency IDAgencyUse caseStage
R2872DOC-53DOCGitHub Copilot for Code ModernizationNot reported
R2873DOC-1DOCMeeting Transcription SummarizationNot reported
R2874DOC-5DOCReal Time Classification for the Economic CensusNot reported
R2875DOC-56DOCAutomated Change DetectionNot reported
R2876DOC-57DOCSchool staff information extraction from web page textNot reported
R2877DOC-58DOCCensus Bureau Demographic Frame Person-Place ModelNot reported
R2878DOC-59DOCRace and Ethnicity AutocodingNot reported
R2879DOC-60DOCInformation extraction for web scraped data for Group Quarters frame enhancementNot reported
R2880DOC-61DOCCurrent Population Survey (CPS) Name Screening ToolNot reported
R2881DOC-62DOCLinkage and Matching Program (LaMP)Not reported
R2882DOC-63DOCCensus Research Exploration and Analysis Tool (CREAT)Not reported
R2883DOC-64DOCDr. NAICS LLMNot reported
R2884DOC-65DOCAutomating Multilingual Census Data Processing: An AI and Transformer-Based Pipeline for Efficient Language Detection and Translation for Short-TextNot reported
R2885DOC-66DOCFAQ for SMaRTNot reported
R2886DOC-67DOCStatistical package syntax development and debuggingNot reported
R2887DOC-68DOCDSD Python Code TranslationNot reported
R2888DOC-69DOCCensus API GPTNot reported
R2889DOC-70DOCNatural Language Search for data.census.govNot reported
R2890DOC-71DOCACES CAPEX (structures, equipment, other) Machine LearningNot reported
R2891DOC-2DOCFirstNet Authority Network Program Management Data Analytics Tool and ServiceNot reported
R2892DOC-74DOCFirstNet Authority Communications Topaz Labs Photo EditingNot reported
R2893DOC-75DOCGlobal Business Navigator ChatbotNot reported
R2894DOC-76DOCGenerative AI Tools Pilot - Global MarketsNot reported
R2895DOC-77DOCGenerative AI Tools Pilot - Enterprise & Solutions ArchitectureNot reported
R2896DOC-3DOCChatGPT EnterpriseNot reported
R2897DOC-4DOCGoogle AgentSpaceNot reported
R2898DOC-6DOCAmazon Web Services NLP, Classification, Text MiningNot reported
R2899DOC-7DOCGoogle Public Sector NLP, Classification, Text MiningNot reported
R2900DOC-8DOCGoogle Colab and VertexAINot reported
R2901DOC-9DOCAnthropic - Claude For GovernmentNot reported
R2902DOC-16DOCCommunity-based Messaging with LLMNot reported
R2903DOC-17DOCNWS Mutual Aid CoordinationNot reported
R2904DOC-18DOCDraft Fronts for Surface AnalysisNot reported
R2905DOC-19DOCEnhance LSR (Local Storm Report) CreationNot reported
R2906DOC-20DOCNWS Public Safety Language TranslationNot reported
R2907DOC-21DOCScientific Code Development AssistanceNot reported
R2908DOC-23DOCEvaluate AI Models for Probabilistic Hurricane PredictionsNot reported
R2909DOC-24DOCEvaluate AI for Forecasting FrontsNot reported
R2910DOC-25DOCAI-Driven Global Forecast Model and EnsembleNot reported
R2911DOC-26DOCAI-based Biased Correction and Downscaling for Weather ModelsNot reported

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