Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: high-impact = not_high_impact; AI type = classical_ml; function = forecasting

Generated 2026-10-12 12:06 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: high-impact = not_high_impact; AI type = classical_ml; function = forecasting · 71 records

Key findings

71 use-case records from 13 agencies: 22 deployed (31%), 17 pilots, 31 in development or acquisition, 1 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
DOI, NASA, HHS report 41 of 71 use cases (58%).
0% of reported deployed use cases (0 of 22) are classified as generative or agentic AI.
Sourcing is reported for 62% of use cases. Where reported, 84% involve in-house development.

Lifecycle

Stage	Records	Share
Deployed	22	31%
Pilot	17	24%
Pre-deployment	31	44%
Retired	1	1%

AI technology

Classification	Records	Share	Deployed
Classical / predictive ML	71	100%	22

Agencies

Agency	Records	Deployed	Completeness
DOI · Department of the Interior	19	3	95%
NASA · National Aeronautics and Space Administration	13	0	62%
HHS · Department of Health and Human Services	9	5	91%
USDA · Department of Agriculture	5	1	83%
TREAS · Department of the Treasury	5	3	85%
DOE · Department of Energy	5	1	83%
DHS · Department of Homeland Security	4	4	100%
FHFA · Federal Housing Finance Agency	3	3	100%
FRB · Federal Reserve Board	2	1	100%
DOT · Department of Transportation	2	0	67%
SBA · Small Business Administration	2	0	100%
DOJ · Department of Justice	1	1	100%
VA · Department of Veterans Affairs	1	0	58%

High-impact designation

Designation	Records
Not high-impact	71

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 71 records, deployed first. The full list is available as CSV from the explorer with the same filters.

Record	Agency ID	Agency	Use case	Stage
R0068	FHFA-2	FHFA	Neural Networks for FHFA Modeling Analytics Platform (FMAP)	Deployed
R0078	FHFA-12	FHFA	Analytics, Indexing, and Anomaly Detection for Data Management on SQL Server	Deployed
R0079	FHFA-13	FHFA	Workflow automation and predictive analytics using ServiceNow	Deployed
R0558	FRB-0001	FRB	Economic Trend Modeling	Deployed
R0655		HHS	Short-term Forecasting of Severe Outcomes for Seasonal and Epidemic Pathogens	Deployed
R0688		HHS	Nowcasting Burden and Infection Trends for Seasonal and Epidemic Pathogens	Deployed
R0695		HHS	Machine Learning with Premier Healthcare Data to inform predictive modeling of antibiotic use	Deployed
R0832		HHS	Resource Capacity Planning	Deployed
R0833		HHS	Supply Chain Resilience Program, Office of Supply Chain Resilience (OSCR) - Foresight	Deployed
R1332	USDA-027	USDA	Operational Water Supply Forecasting for Western US Rivers	Deployed
R1483	DOJ-0008	DOJ	Bloomberg Government	Deployed
R1959	DHS-399	DHS	Cyber Threat Analysis (Recorded Future)	Deployed
R1963	DHS-106	DHS	Critical Infrastructure Network Anomaly Detection	Deployed
R1970	DHS-2722	DHS	Individual Assistance (IA) Predictive Models for Program Quantities	Deployed
R1983	DHS-2432	DHS	Airport Throughput Predictive Model	Deployed
R2533	DOI-0230	DOI	Delineating sub-surface drainage using satellite imagery [2024 INV#WO0000000109525]	Deployed
R2658	DOI-0100	DOI	Predicting post-fire tree mortality	Deployed
R2729	DOI-0016	DOI	Performance Modeling / Performance Forecasting	Deployed
R2770	BEP-25	TREAS	Sub-Asset Maintenance Model	Deployed
R2772	BEP-42	TREAS	Inventory Replenishment Forecast	Deployed
R2773	BEP-67	TREAS	IDV Model	Deployed
R3293	DOE-351	DOE	Elucidating Genetic and Environmental Risk Factors for Antipsychotic-induced Metabolic Adverse Effects Using AI	Deployed
R0195	NASA-317	NASA	Geostationary Satellite Sounder Pathfinder Project for 4-D Atmospheric Thermodynamics and Winds	Pre-deployment
R0264	NASA-506	NASA	SERVIR Applied Deep Learning Book	Pre-deployment
R0304	NASA-583	NASA	Bias correction of GEOS S2S forecast using machine learning	Pre-deployment
R0315	NASA-602	NASA	Development of a machine learning emulator for CAM-CMAQ to improve wildfire smoke forecasts	Pre-deployment
R0329	NASA-620	NASA	Generating localized air quality forecasts for US embassies using ML and GEOS-FP	Pre-deployment
R0339	NASA-636	NASA	Localized air quality forecasts for cities in Africa and South America	Pre-deployment
R0368	NASA-667	NASA	Rangelands Water Monitoring and Forecasting System	Pre-deployment
R0433	NASA-814	NASA	Time Series Forecasting, Evaluation and Deployment (Time-FED)	Pilot
R0467	NASA-865	NASA	A Forecasting Scheme For Accelerated Harmful Algal Bloom Monitoring (FASTHAB)	Pre-deployment
R0470	NASA-868	NASA	Integrating Explainable Machine Learning with Physics for Enhanced Wildfire Detection in Observation-Constrained Environments	Pre-deployment
R0481	NASA-879	NASA	Data-Mining Similar Scenarios for Uncertainty Quantification of Solar Wind Predictions at L1	Pre-deployment
R0491	NASA-893	NASA	Nominal Forecast Sub System for the NASA Coastal Zone Digital Twin	Pre-deployment
R0510	NASA-915	NASA	Development of a Next-Generation Ensemble Prediction System for Atmospheric Composition	Pre-deployment
R0563	FRB-0010	FRB	Variable Optimization	Pilot
R0800		HHS	RA and RADV Predictive Modeling and Methodology Evaluation	Pre-deployment
R0808		HHS	Integrated Data Repository (IDR) Customer Analytic Environment (CAE)	Pilot
R0840		HHS	Drug Shortage Predictive Model	Pilot
R0873		HHS	AI-Enhanced FDA Regulated Commodity Consumption Pattern Analysis	Pre-deployment

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