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

Custom inventory report

Filter: agency = USDA; AI type = unknown

Generated 2026-10-12 09:26 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 = USDA; AI type = unknown · 19 records

Key findings

  • 19 use-case records from 1 agencies: 0 deployed (0%), 0 pilots, 0 in development or acquisition, 19 retired, 0 with no stage reported.
  • 0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
  • Sourcing is reported for 0% of use cases. Where reported, n/a involve in-house development.

Lifecycle

StageRecordsShare
Retired19100%

AI technology

ClassificationRecordsShareDeployed
Not reported19100%0

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
USDA · Department of Agriculture190017%

High-impact designation

DesignationRecords
Not high-impact19

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000000
AI impact assessment0000000
Independent review0000000
Ongoing monitoring0000000
Operator training0000000
Fail-safe0000000
Appeal process0000000
User and public consultation0000000

"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

All 19 records.

RecordAgency IDAgencyUse caseStage
R1315USDA-002USDAARS Project MappingRetired
R1320USDA-013USDARetailer Receipt AnalysisRetired
R1322USDA-016USDACross-Laminated Timber (CLT) Knowledge DatabaseRetired
R1329USDA-024USDAClimate Change Classification NLPRetired
R1333USDA-028USDAStandardization of Cut Flower Business Names for Message Set DataRetired
R1334USDA-029USDAIntelligent Ticket RoutingRetired
R1335USDA-030USDAPredictive Maintenance ImpactsRetired
R1342USDA-040USDASurvey Text Remarks Value ScoringRetired
R1344USDA-042USDAMultilingual Translation of Recalls and Public Health AlertsRetired
R1355USDA-054USDAIRISRetired
R1356USDA-055USDATicket Resolution Categorization (Incident/Change)Retired
R1357USDA-056USDATicket TemplatizationRetired
R1374USDA-073USDAIPWG Application Survey AnalysisRetired
R1376USDA-075USDAPC RasterizeRetired
R1382USDA-083USDAFuelCastRetired
R1383USDA-084USDAR1 Forest Vegetation ModelingRetired
R1386USDA-087USDAThe Lost Meadows ModelRetired
R1391USDA-093USDAQUIC-Fire processing and analysisRetired
R1392USDA-094USDAAnalysis of prescribed fire turbulence dataRetired

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