Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: agency = DOL; training = blank

Generated 2026-10-13 23:43 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: agency = DOL; training = blank · 40 records

Key findings

40 use-case records from 1 agencies: 20 deployed (50%), 2 pilots, 7 in development or acquisition, 11 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
35% of reported deployed use cases (7 of 20) are classified as generative or agentic AI.
Sourcing is reported for 57% of use cases. Where reported, 87% involve in-house development.

Lifecycle

Stage	Records	Share
Deployed	20	50%
Pilot	2	5%
Pre-deployment	7	18%
Retired	11	28%

AI technology

Classification	Records	Share	Deployed
Generative AI	11	28%	7
Classical / predictive ML	14	35%	12
Natural language processing	2	5%	0
Computer vision	2	5%	1
Not reported	11	28%	0

Agencies

Agency	Records	Deployed	High-impact	Completeness
DOL · Department of Labor	40	20	0	71%

High-impact designation

Designation	Records
Not high-impact	40

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

All 40 records.

Record	Agency ID	Agency	Use case	Stage
R1275	DOL-03	DOL	Audio Transcription	Deployed
R1279	DOL-08	DOL	Hololens	Deployed
R1283	DOL-13	DOL	Automatic Document Processing	Deployed
R1285	DOL-15	DOL	Generative AI AssistantI ( AI Center)	Deployed
R1289	DOL-19	DOL	OEWS Occupation Autocoder	Deployed
R1290	DOL-20	DOL	Scanner Data Product Classification	Deployed
R1291	DOL-21	DOL	Expenditure Classification Autocoder	Deployed
R1293	DOL-23	DOL	Workforce Recruitment Program (WRP) Website Chatbot Assistant	Deployed
R1296	DOL-27	DOL	Worker PLUS Microsimulation Program	Deployed
R1297	DOL-28	DOL	Computer-Assisted Coding: SOII Autocoder	Deployed
R1298	DOL-29	DOL	CFOI Record Matching	Deployed
R1300	DOL-32	DOL	Note Taking Bot	Deployed
R1301	DOL-35	DOL	CPS OTC Prediction	Deployed
R1302	DOL-36	DOL	Sample Refinement: Frame API	Deployed
R1303	DOL-37	DOL	CE Interview Item Code Estimation	Deployed
R1304	DOL-38	DOL	CE Interview Imputations	Deployed
R1306	DOL-40	DOL	Comment Actionability Likelihood Score	Deployed
R1308	DOL-42	DOL	PPI Price Tolerance Prediction	Deployed
R1312	DOL-46	DOL	DAISI ( DOL AI Search Insights)	Deployed
R1313	DOL-47	DOL	ETA Grants Monitoring Tool through Doc Explorer	Deployed
R1273	DOL-1-C	DOL	Determine Occupation Codes from Text (NIOCCS)	Retired
R1274	DOL-02	DOL	Language Translation	Pre-deployment
R1276	DOL-04	DOL	Text to Speech Conversion	Pre-deployment
R1277	DOL-05	DOL	Claims Document Processing	Retired
R1278	DOL-06	DOL	Website Chatbot Assistant	Retired
R1280	DOL-10	DOL	Official Document Validation	Retired
R1281	DOL-11	DOL	Electronic Records Management	Pre-deployment
R1282	DOL-12	DOL	Call Recording Analysis	Pre-deployment
R1284	DOL-14	DOL	Automatic Data Processing Workflow with Form Recognizer (9130/9178 Reconciliation Project)	Retired
R1286	DOL-16	DOL	Occupation Code Suggestion For Job Duties Data	Retired
R1287	DOL-17	DOL	Notice of Deficiency (NOD) Text Generation using Generative AI model	Retired
R1288	DOL-18	DOL	Case Recording summarization	Retired
R1294	DOL-24	DOL	Initial Determinations for incoming applications	Retired
R1295	DOL-26	DOL	Web Scraping to Identify Potentially Fraudulent Multiple Employer Welfare Arrangements (MEWAs)	Retired
R1299	DOL-30	DOL	OIICS Coding	Retired
R1305	DOL-39	DOL	QCEW NAICS Autocoder	Pilot
R1307	DOL-41	DOL	Computer-Assisted Review: ORS Autocoder	Pre-deployment
R1309	DOL-43	DOL	EBSA Case File Summarization	Pre-deployment
R1310	DOL-44	DOL	AI Headset	Pilot
R1311	DOL-45	DOL	NLP Processing tool for ILAB	Pre-deployment

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