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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 = STATE; stage = deployed

Generated 2026-10-12 08:36 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 = STATE; stage = deployed · 19 records

Key findings

  • 19 use-case records from 1 agencies: 19 deployed (100%), 0 pilots, 0 in development or acquisition, 0 retired, 0 with no stage reported.
  • 2 records are designated high-impact; 2 of them (100%) answered at least one minimum-practice question.
  • 47% of reported deployed use cases (9 of 19) are classified as generative or agentic AI.
  • Of 2 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 100% of use cases. Where reported, 84% involve in-house development.

Lifecycle

StageRecordsShare
Deployed19100%

AI technology

ClassificationRecordsShareDeployed
Generative AI947%9
Classical / predictive ML316%3
Natural language processing526%5
Other211%2

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
STATE · Department of State19192100%

High-impact designation

DesignationRecords
High-impact2
Not high-impact17

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing2000002
AI impact assessment0200002
Independent review0200002
Ongoing monitoring2000002
Operator training2000002
Fail-safe2000002
Appeal process1001002
User and public consultation2000002

"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
R3211STATEAI Input in TranslationDeployed
R3213STATEAI-Augmented Declassification ReviewDeployed
R3222STATEWithin Grade Increase Data Extraction AutomationDeployed
R3223STATEDS-5528 Promissory Note AutomationDeployed
R3227STATEData.State Analytics and AI FunhouseDeployed
R3231STATEAI Research Engine (AIRE)Deployed
R3232STATEPFCS Proving GroundDeployed
R3235STATEStateChatDeployed
R3237STATENatural Language Processing (NLP) for Foreign Assistance Appropriations AnalysisDeployed
R3239STATEFA.gov PII PickerDeployed
R3240STATEIntegrated Country Strategy (ICS) TurboDeployed
R3241STATEFA.gov RedactAidDeployed
R3247STATEDigital Media Analytics PlatformDeployed
R3248STATEElectronic Health Record AI EnhancementsDeployed
R3250STATEUtility Invoices Data ExtractionDeployed
R3255STATEWalter: Generative AI Support BotDeployed
R3261STATEWHA/EX Information ManagementDeployed
R3264STATETIP Report Research TranslationDeployed
R3268STATEAI Programmatic InsightsDeployed

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