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

Governance disclosure assessment

Filtered: AI type = generative; function = forecasting

Generated 2026-10-12 18:37 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 = generative; function = forecasting · 21 records

Key findings

  • 21 use-case records from 9 agencies: 1 deployed (5%), 6 pilots, 14 in development or acquisition, 0 retired, 0 with no stage reported.
  • 4 records are designated high-impact; 1 of them (25%) answered at least one minimum-practice question.
  • DOJ, VA, TREAS report 12 of 21 use cases (57%).
  • 100% of reported deployed use cases (1 of 1) are classified as generative or agentic AI.
  • Of 1 deployed high-impact use cases, 0 report a completed AI impact assessment and 0 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 48% of use cases. Where reported, 40% involve in-house development.

Governance evidence: deployed high-impact use cases

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0100001
AI impact assessment0100001
Independent review0100001
Ongoing monitoring0100001
Operator training0100001
Fail-safe0100001
Appeal process0100001
User and public consultation0100001

"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.

Agencies with high-impact records

AgencyHigh-impactAnswered any practicePractice answers in place
DOJ210 of 16
VA100 of 8
TREAS100 of 8

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

All 21 records.

RecordAgency IDAgencyUse caseStage
R1567DOJ-0119DOJInsider Threat Management and User Activity MonitoringDeployed
R0480NASA-878NASADiffusion Modeling of the Solar CoronaPre-deployment
R0898HHSAI identification of "High-Risk" Health CentersPre-deployment
R1511DOJ-0041DOJR (Forecasting, predictive analytics, data/statistical analysis)Pre-deployment
R1512DOJ-0042DOJStata (Forecasting, predictive analytics, data/statistical analysis)Pre-deployment
R1513DOJ-0043DOJMatlab (Forecasting, predictive analytics, data/statistical analysis)Pre-deployment
R1514DOJ-0044DOJDatabricks (Forecasting, predictive analytics, data/statistical analysis)Pilot
R1785DOJ-0360DOJCapture and Convert Structured Data from Scanned Case Documents to Support Advanced Analysis and Trend ForecastingPre-deployment
R1884DHS-2454DHSLIGER Generative AI ToolkitPilot
R2067VA-25-897VAEmployee Transactions for HR Decision-MakingPre-deployment
R2140VA-25-4889VAArtificial Intelligence Assisted Procurement Tools (AIAPT)Pre-deployment
R2167VA-24-1360VAPotential Fraud or WastePre-deployment
R2531DOI-0232DOIUse of artificial intelligence tools for optimization and documentation for computer codes [2024 INV#WO0000000109681]Pilot
R2622DOI-0140DOIForecasting Earthquake Ground Motion Time Series [2024 INV#WO0000000109733]Pre-deployment
R2781REQ-2024-01953TREASGenAI Productivity Tool PilotPilot
R2829TREAS-IRS-125TREASIntegrated Financial Management Information System (IFMIS)Pre-deployment
R2839TREAS-IRS-46TREASGenAI for Low Code PlatformPre-deployment
R3164SBA-2SBABusiness DevelopmentPre-deployment
R3174SBA-14SBAAI for Small Business Development w/Copilot, Gemini or ChatGPTPre-deployment
R3373DOE-514DOEBernie-AI: Infrastructure Planning Support POCPilot
R3398DOE-541DOEVIPER (Visualizaiton for Predictive Maintenance Recommendation)Pilot

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