Federal AI Intelligence · U.S. Government AI Observatory
Federal AI landscape: executive briefing
Filtered: agency = DOE; AI type = generative; sourcing = in_house
Key findings
- 47 use-case records from 1 agencies: 16 deployed (34%), 6 pilots, 25 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.
- 100% of reported deployed use cases (16 of 16) are classified as generative or agentic AI.
- Sourcing is reported for 100% of use cases. Where reported, 100% involve in-house development.
Lifecycle
| Stage | Records | Share |
|---|---|---|
| Deployed | 16 | 34% |
| Pilot | 6 | 13% |
| Pre-deployment | 25 | 53% |
AI technology
| Classification | Records | Share | Deployed |
|---|---|---|---|
| Generative AI | 47 | 100% | 16 |
Agencies
| Agency | Records | Deployed | High-impact | Completeness |
|---|---|---|---|---|
| DOE · Department of Energy | 47 | 16 | 2 | 96% |
High-impact designation
| Designation | Records |
|---|---|
| High-impact | 2 |
| Not high-impact | 45 |
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 | 2 | 2 |
| AI impact assessment | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| Independent review | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| Ongoing monitoring | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| Operator training | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| Fail-safe | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| Appeal process | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| User and public consultation | 0 | 0 | 0 | 0 | 0 | 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
First 40 of 47 records, deployed first. The full list is available as CSV from the explorer with the same filters.
| Record | Agency ID | Agency | Use case | Stage |
|---|---|---|---|---|
| R3306 | DOE-426 | DOE | PARSGPT | Deployed |
| R3309 | DOE-431 | DOE | AI-Enhanced Lab Assist | Deployed |
| R3318 | DOE-440 | DOE | DOE Technical Standards | Deployed |
| R3321 | DOE-443 | DOE | Lex Natural Language Interface | Deployed |
| R3333 | DOE-460 | DOE | AskOEDI | Deployed |
| R3339 | DOE-469 | DOE | Hanford Ai Liaison (HAL) 1.1 | Deployed |
| R3347 | DOE-483 | DOE | INL AI Virtual Assitant (AiVA) | Deployed |
| R3350 | DOE-487 | DOE | LLM EV | Deployed |
| R3351 | DOE-488 | DOE | AskPRIMR | Deployed |
| R3356 | DOE-494 | DOE | Energy Wizard | Deployed |
| R3357 | DOE-495 | DOE | LANL AI Portal | Deployed |
| R3360 | DOE-499 | DOE | Argo | Deployed |
| R3362 | DOE-501 | DOE | AskGDR | Deployed |
| R3394 | DOE-537 | DOE | WETO SA | Deployed |
| R3395 | DOE-538 | DOE | AI Assistant Phase 2 Simple Chat | Deployed |
| R3468 | DOE-613 | DOE | LivChat | Deployed |
| R3335 | DOE-463 | DOE | AI Chat Bot for IT User Services | Pilot |
| R3373 | DOE-514 | DOE | Bernie-AI: Infrastructure Planning Support POC | Pilot |
| R3379 | DOE-521 | DOE | Command Media | Pre-deployment |
| R3380 | DOE-522 | DOE | Ask CAS | Pre-deployment |
| R3387 | DOE-530 | DOE | Merlin - KCNSC Generative AI with RAG | Pilot |
| R3403 | DOE-547 | DOE | AI-Enhanced Hub | Pre-deployment |
| R3424 | DOE-569 | DOE | Ask Alan | Pre-deployment |
| R3441 | DOE-587 | DOE | DIRECTIVES | Pre-deployment |
| R3449 | DOE-594 | DOE | M&O Program Trimester Reporting Modernization | Pre-deployment |
| R3460 | DOE-604 | DOE | FindMATID | Pre-deployment |
| R3466 | DOE-611 | DOE | AI-Tailored Learning Management Solutions | Pre-deployment |
| R3470 | DOE-615 | DOE | Ask IT | Pre-deployment |
| R3481 | DOE-625 | DOE | Intrabot | Pre-deployment |
| R3482 | DOE-626 | DOE | AI Drafting of Operational Procedures and Training Materials | Pre-deployment |
| R3484 | DOE-628 | DOE | Improve Scout Search results | Pre-deployment |
| R3487 | DOE-630 | DOE | HR Job Postings | Pre-deployment |
| R3494 | DOE-638 | DOE | ChatSRS | Pre-deployment |
| R3498 | DOE-642 | DOE | UNSPSC Codes | Pre-deployment |
| R3503 | DOE-647 | DOE | CyberSearch | Pre-deployment |
| R3509 | DOE-653 | DOE | Hanford Ai Liaison (HAL) 2.0 | Pre-deployment |
| R3517 | DOE-660 | DOE | Instrument Documentation Search | Pre-deployment |
| R3518 | DOE-661 | DOE | MOOSE-LLM | Pilot |
| R3521 | DOE-664 | DOE | Preventive Maintenance Procedure Development | Pre-deployment |
| R3539 | DOE-682 | DOE | ServiceNow LANL AI Portal Integration | Pre-deployment |
Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory