Federal AI Intelligence · U.S. Government AI Observatory

Governance disclosure assessment

Filtered: AI type = agentic; sourcing = unknown

Generated 2026-10-13 17:02 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 = agentic; sourcing = unknown · 73 records

Key findings

73 use-case records from 12 agencies: 0 deployed (0%), 0 pilots, 73 in development or acquisition, 0 retired, 0 with no stage reported.
20 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
VA, NASA, HHS report 56 of 73 use cases (77%).
Sourcing is reported for 0% of use cases. Where reported, n/a involve in-house development.

Governance evidence: all use cases in the current filter

Practice	No answer	In scope
Pre-deployment testing	73	73
AI impact assessment	73	73
Independent review	73	73
Ongoing monitoring	73	73
Operator training	73	73
Fail-safe	73	73
Appeal process	73	73
User and public consultation	73	73

"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.

Agencies with high-impact records

Agency	High-impact	Practice answers in place
VA	17	0 of 136
DOE	2	0 of 16
TREAS	1	0 of 8

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

Record	Agency ID	Agency	Use case	Stage
R0053	SEC-60	SEC	AI-enabled information collection and curation	Pre-deployment
R0054	SEC-61	SEC	AI-enabled information dissemination	Pre-deployment
R0105	NASA-5	NASA	Autoresolver/Tailored Arrival Manager	Pre-deployment
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
R0555	NEA-0002	NEA	Managing Help Desk Tickets - Self Service	Pre-deployment
R0615		HHS	Head Start Correspondence Categorizer	Pre-deployment
R0701		HHS	Agentic RAG Chatbot	Pre-deployment
R0720		HHS	Data Standardization with LLM	Pre-deployment
R0729		HHS	CSB MCP AI	Pre-deployment
R0730		HHS	Support for MCP and AI APIs in Digital Gateway	Pre-deployment
R0733		HHS	FERRET	Pre-deployment
R0771		HHS	T-MSIS Prima	Pre-deployment
R0791		HHS	MCP Server Registry and Integration Platform	Pre-deployment
R0792		HHS	Agentic Web Search	Pre-deployment
R0793		HHS	Deep Research Multi-Agent System	Pre-deployment
R0892		HHS	FOIA Exemption-Aligned Redaction	Pre-deployment
R0987		HHS	Software Approval Agent	Pre-deployment
R0989		HHS	Ethics AI Agent	Pre-deployment
R0990		HHS	Help Desk AI Assistant	Pre-deployment
R0994		HHS	BioData Catalyst Harmonized Data Model	Pre-deployment
R1028		HHS	Federal Assistant AI Agent	Pre-deployment
R1182		GSA	FAS Vision Agentforce	Pre-deployment
R1205	DOT-1000003	DOT	AI Operations Laboratory (OPSLAB)	Pre-deployment
R1206	DOT-1000004	DOT	Transportation AI-enabled Network (TrAIN)	Pre-deployment

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