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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: AI type = classical_ml; function = foia_records

Generated 2026-10-13 15:42 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 = classical_ml; function = foia_records · 11 records

Key findings

  • 11 use-case records from 6 agencies: 8 deployed (73%), 1 pilots, 2 in development or acquisition, 0 retired, 0 with no stage reported.
  • 2 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
  • DOJ, DOI, EPA report 8 of 11 use cases (73%).
  • 0% of reported deployed use cases (0 of 8) are classified as generative or agentic AI.
  • Of 1 deployed high-impact use cases, 0 report a completed AI impact assessment and 1 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 82% of use cases. Where reported, 44% involve in-house development.

Lifecycle

StageRecordsShare
Deployed873%
Pilot19%
Pre-deployment218%

AI technology

ClassificationRecordsShareDeployed
Classical / predictive ML11100%8

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
DOJ · Department of Justice52183%
DOI · Department of the Interior220100%
EPA · Environmental Protection Agency110100%
VA · Department of Veterans Affairs11175%
STATE · Department of State110100%
DOE · Department of Energy110100%

High-impact designation

DesignationRecords
High-impact2
Not high-impact9

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000022
AI impact assessment0000022
Independent review0000022
Ongoing monitoring0000022
Operator training0000022
Fail-safe0000022
Appeal process0000022
User and public consultation0000022

"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 11 records.

RecordAgency IDAgencyUse caseStage
R1604DOJ-0162DOJreCAPTCHADeployed
R1720DOJ-0295DOJFOIA Production ToolsDeployed
R204873EPAAgency Records Management SystemDeployed
R2228VA-25-3275VAConcept ClusteringDeployed
R2724DOI-0021DOIMicrosoft eDiscovery Attorney-Client Privilege DetectionDeployed
R2729DOI-0016DOIPerformance Modeling / Performance ForecastingDeployed
R3241STATEFA.gov RedactAidDeployed
R3522DOE-665DOEOpenText for Records Management (File share auto-classification)Deployed
R1525DOJ-0058DOJEvidence.comPre-deployment
R1687DOJ-0262DOJRedaction Tool 2Pre-deployment
R1688DOJ-0263DOJRedaction Tool 1Pilot

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