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

Agency AI profile

National Archives and Records Administration (NARA)

Generated 2026-10-11 23:50 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 = NARA · 14 records

Key findings

  • NARA reported 14 use cases (0.4% of all records): 4 deployed, 2 pilots, 8 in development or acquisition, 0 retired, 0 with no stage.
  • 0 are designated high-impact; 0 of those answered at least one minimum-practice question.
  • Mean disclosure completeness is 100% of 12 core fields, ranking 1 of 41 agencies.
  • Sourcing is reported for 100% of records.

Portfolio

Technology

ClassificationRecordsShare
Generative AI750%
Natural language processing750%

Topic areas

TopicRecordsShare
Other14100%

Governance disclosures (high-impact records)

No use cases designated high-impact.

Field completeness

FieldNARAAll agencies
Stage100%91%
High-impact designation100%88%
Topic area100%83%
AI classification100%82%
Problem100%84%
Benefits100%82%
Outputs100%79%
Sourcing100%44%
Start date100%39%
ATO100%43%
PII100%42%
Custom code100%47%

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
R3197NARA - 0001NARAGenerative AI Solutions for Workplace Productivity (aka Gemini)Deployed
R3198NARA - 0002NARAA1 Museum AI ProjectDeployed
R3199NARA - 0003NARANARA@WORK Kendra SearchDeployed
R3200NARA - 0004NARAAmelia Earhart AI SearchDeployed
R3201NARA - 0005NARAAI Pilot Project to Screen and Flag for Personally Identifiable Information (PII) in Digitized Archival RecordsPilot
R3202NARA - 0006NARAAI based Semantic Search for National Archives Catalog (aka ArchiAI)Pilot
R3203NARA - 0007NARAAuto-fill of Descriptive Metadata for Archival DescriptionsPre-deployment
R3204NARA - 0008NARATopic Summarizer and Entity Extraction using AIPre-deployment
R3205NARA - 0009NARACreate an AI based knowledge articles user interface for working with CRG documentsPre-deployment
R3206NARA - 0010NARAEOP 42 Search PoC using AI Based Semantic SearchPre-deployment
R3207NARA - 0011NARAFreedom of Information Act (FOIA) Discovery AI PilotPre-deployment
R3208NARA - 0012NARAArchives.gov AI searchPre-deployment
R3209NARA - 0013NARADevelop a Natural Language Based Chat Interface (like ChatGPT) to Interact With the Archival DocumentsPre-deployment
R3210NARA - 0014NARAAutomated Data Discovery and Classification PilotPre-deployment

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