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

Federal AI landscape: executive briefing

Filtered: agency = DOE; AI type = unknown; sourcing = unknown

Generated 2026-10-12 22:45 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 = DOE; AI type = unknown; sourcing = unknown · 15 records

Key findings

  • 15 use-case records from 1 agencies: 0 deployed (0%), 0 pilots, 0 in development or acquisition, 15 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
Retired15100%

AI technology

ClassificationRecordsShareDeployed
Not reported15100%0

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
DOE · Department of Energy150039%

High-impact designation

DesignationRecords
Not high-impact15

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 15 records.

RecordAgency IDAgencyUse caseStage
R3304DOE-410DOEAI for system design optimization (e.g., detector, accelerator)Retired
R3305DOE-425DOEFIMS Invoice BOTRetired
R3310DOE-432DOESWPA Generative AIRetired
R3334DOE-462DOEHanford SearchRetired
R3336DOE-464DOEHanford Popfon SearchRetired
R3344DOE-479DOEFunding FinderRetired
R3346DOE-482DOEHanford Service Ticket LookupRetired
R3349DOE-486DOEHanford Procedure SearchRetired
R3355DOE-493DOEInteractive platform to help review and create "Promoting Inclusive and Equitable Research" PlansRetired
R3361DOE-500DOEAI Chat Bot for Facility Sustainability PracticesRetired
R3363DOE-502DOETopic Modeling for Energy.govRetired
R3404DOE-548DOEOpenText for Records Management (Email Auto-Classification)Retired
R3423DOE-568DOEAI-Based Chat BotRetired
R3464DOE-61DOEAI DenoisingRetired
R3537DOE-68DOEHigh-Velocity AI: Generative ModelsRetired

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