Federal AI Intelligence · U.S. Government AI Observatory

Federal AI landscape: executive briefing

Filtered: topic = Science; AI type = agentic; sourcing = unknown

Generated 2026-10-12 08:43 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: topic = Science; AI type = agentic; sourcing = unknown · 21 records

Key findings

21 use-case records from 3 agencies: 0 deployed (0%), 0 pilots, 21 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.
Sourcing is reported for 0% of use cases. Where reported, n/a involve in-house development.

Lifecycle

Stage	Records	Share
Pre-deployment	21	100%

AI technology

Classification	Records	Share	Deployed
Agentic AI	21	100%	0

Agencies

Agency	Records	High-impact	Completeness
NASA · National Aeronautics and Space Administration	17	0	58%
HHS · Department of Health and Human Services	2	0	58%
DOE · Department of Energy	2	2	58%

High-impact designation

Designation	Records
High-impact	2
Not high-impact	19

Governance evidence: use cases designated high-impact

Practice	No answer	In scope
Pre-deployment testing	2	2
AI impact assessment	2	2
Independent review	2	2
Ongoing monitoring	2	2
Operator training	2	2
Fail-safe	2	2
Appeal process	2	2
User and public consultation	2	2

"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 21 records.

Record	Agency ID	Agency	Use case	Stage
R0107	NASA-9	NASA	Distributed Spacecraft Autonomy	Pre-deployment
R0165	NASA-223	NASA	Dynamic Targeting	Pre-deployment
R0168	NASA-228	NASA	Hybrid On-Board and Ground-Based Processing of Massive Sensor Data (HyspIRI IPM)	Pre-deployment
R0200	NASA-325	NASA	Intelligent Contingency Management	Pre-deployment
R0224	NASA-395	NASA	INtelligent StennIs Gas House Technology (INSIGHT)	Pre-deployment
R0225	NASA-396	NASA	NASA Platform for Autonomous Systems (NPAS)	Pre-deployment
R0237	NASA-417	NASA	Troupe Rover Demonstration	Pre-deployment
R0253	NASA-475	NASA	Friction Stir Weld Control	Pre-deployment
R0283	NASA-555	NASA	DSM Autonomy: Capability Integration/Demonstration and Mission Resilience	Pre-deployment
R0414	NASA-748	NASA	Module for Event Driven Operations on Spacecraft (MEDOS)	Pre-deployment
R0415	NASA-749	NASA	Remote Coordination, Actuation, and Planning (ReCAP) Cooperative MultiAgent Architecture	Pre-deployment
R0432	NASA-813	NASA	Science Autonomy for NEAScout	Pre-deployment
R0438	NASA-829	NASA	System for Uncertainty, Risk, and Feature Assessment of Surfaces (SURFAS) Holistic Scene Analysis	Pre-deployment
R0443	NASA-836	NASA	Using ChatGSFC to Streamline Analysis and Reporting	Pre-deployment
R0487	NASA-889	NASA	Text-to-Spaceship	Pre-deployment
R0495	NASA-897	NASA	Hydrology Copilot	Pre-deployment
R0513	NASA-920	NASA	Adaptive State-Space Control via Neuromorphic Computing	Pre-deployment
R0720		HHS	Data Standardization with LLM	Pre-deployment
R0994		HHS	BioData Catalyst Harmonized Data Model	Pre-deployment
R3281	DOE-330	DOE	ORNL: AI for Experimental Facilities Operations	Pre-deployment
R3286	DOE-337	DOE	ORNL: AI for the Smart Laboratory	Pre-deployment

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