Federal AI Intelligence · U.S. Government AI Observatory

Federal AI landscape: executive briefing

Filtered: stage = pre_deployment; AI type = other

Generated 2026-10-12 04:49 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: stage = pre_deployment; AI type = other · 56 records

Key findings

56 use-case records from 7 agencies: 0 deployed (0%), 0 pilots, 56 in development or acquisition, 0 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
DOT, DOE, NASA report 45 of 56 use cases (80%).
Sourcing is reported for 41% of use cases. Where reported, 87% involve in-house development.

Lifecycle

Stage	Records	Share
Pre-deployment	56	100%

AI technology

Classification	Records	Share	Deployed
Other	56	100%	0

Agencies

Agency	Records	Completeness
DOT · Department of Transportation	36	67%
DOE · Department of Energy	5	82%
NASA · National Aeronautics and Space Administration	4	56%
DOI · Department of the Interior	4	85%
HHS · Department of Health and Human Services	3	58%
FERC · Federal Energy Regulatory Commission	3	67%
TREAS · Department of the Treasury	1	58%

High-impact designation

Designation	Records
Not high-impact	56

Governance evidence: use cases designated high-impact

Practice	In place	In progress	Not in place	N/A or precluded	Other	No answer	In scope
Pre-deployment testing	0	0	0	0	0	0	0
AI impact assessment	0	0	0	0	0	0	0
Independent review	0	0	0	0	0	0	0
Ongoing monitoring	0	0	0	0	0	0	0
Operator training	0	0	0	0	0	0	0
Fail-safe	0	0	0	0	0	0	0
Appeal process	0	0	0	0	0	0	0
User and public consultation	0	0	0	0	0	0	0

"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

First 40 of 56 records, deployed first. The full list is available as CSV from the explorer with the same filters.

Record	Agency ID	Agency	Use case	Stage
R0126	NASA-80	NASA	cFS High Performance Computing Framework (cFS HPCF)	Pre-deployment
R0284	NASA-556	NASA	Implementing Intelligent Extensible Mission Architectures (IEMA)	Pre-deployment
R0418	NASA-775	NASA	Foundation Model for Lunar Science	Pre-deployment
R0469	NASA-867	NASA	Space Grade Linux	Pre-deployment
R0636		HHS	The NEF DSI/AI project addresses local validation of AI-based clinical decision support (CDS)/decision support interventions (DSI) in provider settings.	Pre-deployment
R0886		HHS	NOFO Compliance Assistant	Pre-deployment
R0917		HHS	Generative AI (GenAI) Still Image Tagging	Pre-deployment
R1207	DOT-1000005	DOT	AI Support and Collaboration Center (AISCC)	Pre-deployment
R1216	DOT-1000014	DOT	Pilot-Controller Voice to Text Transcription	Pre-deployment
R1217	DOT-1000015	DOT	Detection of Unmanned Aircraft Systems (UAS) Encounter	Pre-deployment
R1218	DOT-1000016	DOT	Human Performance Taxonomy labeling	Pre-deployment
R1219	DOT-1000021	DOT	Regulatory Compliance Mapping Tool	Pre-deployment
R1220	DOT-1000022	DOT	JASC Code classification in Safety Difficulty Reports (SDR)	Pre-deployment
R1221	DOT-1000024	DOT	Offshore Precipitation Capability (OPC)	Pre-deployment
R1222	DOT-1000025	DOT	Course Deviation Identification for Multiple Airport Route Separation (MARS)	Pre-deployment
R1223	DOT-1000026	DOT	Improve and Speed up the Certification Service Oversight Process Using Intelligent Document Review	Pre-deployment
R1224	DOT-1000027	DOT	Determining Surface Winds with Machine Learning Software	Pre-deployment
R1225	DOT-1000028	DOT	Remote Oceanic Meteorological Information Operations (ROMIO)	Pre-deployment
R1226	DOT-1000030	DOT	Head Kinematics Prediction	Pre-deployment
R1227	DOT-1000031	DOT	Crash Parameter Prediction	Pre-deployment
R1228	DOT-1000033	DOT	Crushed Aggregate Gradation Evaluation System	Pre-deployment
R1229	DOT-1000034	DOT	Automatic Track Change Detection Demonstration and Analysis	Pre-deployment
R1232	DOT-1000038	DOT	Geolocating and Identifying Vehicle Hard Brake, Acceleration and Seat Belt Usage with CV Data	Pre-deployment
R1234	DOT-1000040	DOT	Exploratory Advanced Research group of projects	Pre-deployment
R1235	DOT-1000041	DOT	Enterprise Knowledge Graph and Advanced AI Data Structures Collaboration Group	Pre-deployment
R1236	DOT-1000042	DOT	Transportation Use Case Knowledge Repository (TrUCKR)	Pre-deployment
R1237	DOT-1000043	DOT	NETT Council AI Coordination and Activities (AICA) Working Group	Pre-deployment
R1238	DOT-1000044	DOT	DOT Workforce Acquisitions and Training Team	Pre-deployment
R1239	DOT-1000045	DOT	NETT Council Safety, Rights, and Security Review (SR2) Committee	Pre-deployment
R1240	DOT-1000046	DOT	DOT AI Procurement Team	Pre-deployment
R1241	DOT-1000047	DOT	DOT AI Emerging Technology Team	Pre-deployment
R1246	DOT-1000052	DOT	Tech Ops LLM Document Search	Pre-deployment
R1254	DOT-1000060	DOT	Remote Maintenance Monitoring (RMM) Analyzer Copilot	Pre-deployment
R1255	DOT-1000061	DOT	National Airspace System (NAS) Safety Anomaly Metric with STAD integration (Safety Trend Analytics D	Pre-deployment
R1258	DOT-1000064	DOT	Human Performance (HP) Fatigue Recommendations	Pre-deployment
R1259	DOT-1000065	DOT	Prognosis and Diagnosis Based on Contributing Factors to Safety Risk	Pre-deployment
R1260	DOT-1000066	DOT	Knowledge Representation for Deep Learning	Pre-deployment
R1262	DOT-1000068	DOT	Flight Standards Inspector Readiness Program (FSIRP)	Pre-deployment
R1263	DOT-1000069	DOT	Court Reporting and Testimony Management Platform	Pre-deployment
R1264	DOT-1000070	DOT	AI-Assisted Legal Research	Pre-deployment

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