Federal AI Intelligence · U.S. Government AI Observatory
Custom inventory report
Filter: agency = DOE; AI type = generative; feedback = blank
Key findings
- 88 use-case records from 1 agencies: 29 deployed (33%), 23 pilots, 36 in development or acquisition, 0 retired, 0 with no stage reported.
- 15 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
- 100% of reported deployed use cases (29 of 29) are classified as generative or agentic AI.
- Sourcing is reported for 76% of use cases. Where reported, 84% involve in-house development.
Lifecycle
| Stage | Records | Share |
|---|---|---|
| Deployed | 29 | 33% |
| Pilot | 23 | 26% |
| Pre-deployment | 36 | 41% |
AI technology
| Classification | Records | Share | Deployed |
|---|---|---|---|
| Generative AI | 88 | 100% | 29 |
Agencies
| Agency | Records | Deployed | High-impact | Completeness |
|---|---|---|---|---|
| DOE · Department of Energy | 88 | 29 | 15 | 89% |
High-impact designation
| Designation | Records |
|---|---|
| High-impact | 15 |
| Not high-impact | 73 |
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 | 15 | 15 |
| AI impact assessment | 0 | 0 | 0 | 0 | 0 | 15 | 15 |
| Independent review | 0 | 0 | 0 | 0 | 0 | 15 | 15 |
| Ongoing monitoring | 0 | 0 | 0 | 0 | 0 | 15 | 15 |
| Operator training | 0 | 0 | 0 | 0 | 0 | 15 | 15 |
| Fail-safe | 0 | 0 | 0 | 0 | 0 | 15 | 15 |
| Appeal process | 0 | 0 | 0 | 0 | 0 | 15 | 15 |
| User and public consultation | 0 | 0 | 0 | 0 | 0 | 15 | 15 |
"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 88 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 |
| R3311 | DOE-433 | DOE | Microsoft 365 Copilot (Productivity Suite) | Deployed |
| R3314 | DOE-436 | DOE | Microsoft Power Platform capability that provides AI to automate processes in Power Apps and Power Automate | Deployed |
| R3317 | DOE-439 | DOE | Databricks AI for Cloud Data Warehouse | Deployed |
| R3318 | DOE-440 | DOE | DOE Technical Standards | Deployed |
| R3319 | DOE-441 | DOE | Microsoft Copilot for Security | Deployed |
| R3320 | DOE-442 | DOE | Text To Speech Audio Generation | Deployed |
| R3321 | DOE-443 | DOE | Lex Natural Language Interface | Deployed |
| R3324 | DOE-449 | DOE | EnerGPT | Deployed |
| R3333 | DOE-460 | DOE | AskOEDI | Deployed |
| R3337 | DOE-466 | DOE | AI for Intelligent Automation | Deployed |
| R3345 | DOE-481 | DOE | PDF Analyzer | Deployed |
| R3347 | DOE-483 | DOE | INL AI Virtual Assitant (AiVA) | Deployed |
| R3350 | DOE-487 | DOE | LLM EV | Deployed |
| R3351 | DOE-488 | DOE | AskPRIMR | Deployed |
| R3354 | DOE-492 | DOE | Yurts AI search function | Deployed |
| R3356 | DOE-494 | DOE | Energy Wizard | Deployed |
| R3358 | DOE-497 | DOE | SmartPD Creator | 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 |
| R3397 | DOE-540 | DOE | OpenAI Enterprise | Deployed |
| R3399 | DOE-543 | DOE | Decisions AI | Deployed |
| R3418 | DOE-562 | DOE | PWS Builder | Deployed |
| R3432 | DOE-576 | DOE | EnerGPT Canvas | Deployed |
| R3445 | DOE-590 | DOE | SpyglassGPT Chat Assistant | Deployed |
| R3448 | DOE-593 | DOE | Microsoft CoPilot | Deployed |
| R3596 | DOE-739 | DOE | Microsoft Copilot Studio | Deployed |
| R3279 | DOE-328 | DOE | ORNL: Foundational AI Research | Pre-deployment |
| R3280 | DOE-329 | DOE | ORNL: AI for Materials Science | Pre-deployment |
| R3285 | DOE-336 | DOE | ORNL: AI for Bio and Health Sciences | Pre-deployment |
| R3288 | DOE-339 | DOE | ORNL: AI for Earth Systems | Pre-deployment |
| R3325 | DOE-450 | DOE | MAPPRITE | Pilot |
| R3326 | DOE-451 | DOE | ServiceNow AI Search | Pre-deployment |
| R3329 | DOE-454 | DOE | AI for High Risk Property | Pre-deployment |
| R3335 | DOE-463 | DOE | AI Chat Bot for IT User Services | Pilot |
| R3340 | DOE-472 | DOE | Argonne Resilience AI Assistant ARAIA (nee CALLM) | Pre-deployment |
| R3371 | DOE-512 | DOE | Microsoft Azure Quantum Elements | Pilot |
| R3379 | DOE-521 | DOE | Command Media | Pre-deployment |
Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory