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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 = DOE; topic = Other; AI type = generative

Generated 2026-10-14 22:12 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; topic = Other; AI type = generative · 14 records

Key findings

  • 14 use-case records from 1 agencies: 3 deployed (21%), 8 pilots, 3 in development or acquisition, 0 retired, 0 with no stage reported.
  • 3 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
  • 100% of reported deployed use cases (3 of 3) are classified as generative or agentic AI.
  • Sourcing is reported for 93% of use cases. Where reported, 85% involve in-house development.

Lifecycle

StageRecordsShare
Deployed321%
Pilot857%
Pre-deployment321%

AI technology

ClassificationRecordsShareDeployed
Generative AI14100%3

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
DOE · Department of Energy143395%

High-impact designation

DesignationRecords
High-impact3
Presumed high-impact, determined not1
Not high-impact10

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000033
AI impact assessment0000033
Independent review0000033
Ongoing monitoring0000033
Operator training0000033
Fail-safe0000033
Appeal process0000033
User and public consultation0000033

"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 14 records.

RecordAgency IDAgencyUse caseStage
R3337DOE-466DOEAI for Intelligent AutomationDeployed
R3347DOE-483DOEINL AI Virtual Assitant (AiVA)Deployed
R3360DOE-499DOEArgoDeployed
R3325DOE-450DOEMAPPRITEPilot
R3380DOE-522DOEAsk CASPre-deployment
R3391DOE-534DOECustom GenAI for eVinci Microreactor Engineering (MauroGPT)Pilot
R3398DOE-541DOEVIPER (Visualizaiton for Predictive Maintenance Recommendation)Pilot
R3430DOE-574DOEM365 CopilotPilot
R3446DOE-591DOECustom GenAI for Advanced Reactor Development (LotusAI)Pilot
R3463DOE-609DOECustom GenAI for Advanced Reactor Development (RickoverAI)Pilot
R3476DOE-620DOEAI Video CreationPre-deployment
R3541DOE-684DOELexisNexisPre-deployment
R3572DOE-715DOECustom GenAI for ATR Fuel Conversion Project (FuelGPT)Pilot
R3591DOE-732DOEChatlabPilot

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