Federal AI Intelligence · U.S. Government AI Observatory
Federal AI landscape: executive briefing
Filtered: AI type = nlp; sourcing = both; function = chat_assistant
Key findings
- 14 use-case records from 6 agencies: 10 deployed (71%), 4 pilots, 0 in development or acquisition, 0 retired, 0 with no stage reported.
- 3 records are designated high-impact; 2 of them (67%) answered at least one minimum-practice question.
- HHS, DOJ, TREAS report 11 of 14 use cases (79%).
- 0% of reported deployed use cases (0 of 10) are classified as generative or agentic AI.
- Of 2 deployed high-impact use cases, 0 report a completed AI impact assessment and 0 leave every minimum-practice field blank.
- Interpretation: Blank practice fields are missing evidence, not evidence that a safeguard is absent. They mark where follow-up questions to the agency are most useful.
- Sourcing is reported for 100% of use cases. Where reported, 100% involve in-house development.
Lifecycle
| Stage | Records | Share |
|---|---|---|
| Deployed | 10 | 71% |
| Pilot | 4 | 29% |
AI technology
| Classification | Records | Share | Deployed |
|---|---|---|---|
| Natural language processing | 14 | 100% | 10 |
Agencies
| Agency | Records | Deployed | High-impact | Completeness |
|---|---|---|---|---|
| HHS · Department of Health and Human Services | 5 | 4 | 0 | 100% |
| DOJ · Department of Justice | 3 | 2 | 3 | 100% |
| TREAS · Department of the Treasury | 3 | 2 | 0 | 100% |
| DOT · Department of Transportation | 1 | 1 | 0 | 83% |
| USDA · Department of Agriculture | 1 | 0 | 0 | 100% |
| DHS · Department of Homeland Security | 1 | 1 | 0 | 100% |
High-impact designation
| Designation | Records |
|---|---|
| High-impact | 3 |
| Not high-impact | 11 |
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 | 2 | 0 | 0 | 0 | 1 | 3 |
| AI impact assessment | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
| Independent review | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
| Ongoing monitoring | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
| Operator training | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
| Fail-safe | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
| Appeal process | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
| User and public consultation | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
"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 14 records.
| Record | Agency ID | Agency | Use case | Stage |
|---|---|---|---|---|
| R0675 | HHS | NCIRD SmartFind ChatBots - Public and Internal | Deployed | |
| R0690 | HHS | DHDSP NOFO Technical Assistance Chatbot | Deployed | |
| R0875 | HHS | ChatBot for Safety Reporting Portal Adverse Events and Product problems submissions | Deployed | |
| R0984 | HHS | Ask Aithena | Deployed | |
| R1268 | DOT-1000074 | DOT | Community Engagement Chat Bot | Deployed |
| R1541 | DOJ-0083 | DOJ | Financial and Cryptocurrency Analysis: Federal Partner | Deployed |
| R1542 | DOJ-0084 | DOJ | Financial and Cryptocurrency Analysis: Commercial Solution | Deployed |
| R1953 | DHS-2366 | DHS | CBP Careers Bot - Leo | Deployed |
| R2802 | TREAS-01 | TREAS | SBSE - Payments Topics Chatbot | Deployed |
| R2814 | TREAS-24 | TREAS | Taxpayer Services Chatbot | Deployed |
| R0790 | HHS | AI Agent Orchestrator POC | Pilot | |
| R1442 | USDA-144 | USDA | Recreation site chatbot | Pilot |
| R1741 | DOJ-0316 | DOJ | Chatbot to Answer Internal Employee Policy Queries | Pilot |
| R2769 | BEP-1 | TREAS | AskBEP AI ChatBot | Pilot |
Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory