DOI Department of the Interior 21 Department of the Interior Deployed: 3 (14.3%)Department of the Interior Pilot: 10 (47.6%)Department of the Interior Pre-deployment: 8 (38.1%)
3 0 Classical / predictive ML 2 71% 94% NASA National Aeronautics and Space Administration 15 National Aeronautics and Space Administration Pilot: 1 (6.7%)National Aeronautics and Space Administration Pre-deployment: 14 (93.3%)
0 0 Classical / predictive ML 1 7% 61% HHS Department of Health and Human Services 12 Department of Health and Human Services Deployed: 6 (50.0%)Department of Health and Human Services Pilot: 3 (25.0%)Department of Health and Human Services Pre-deployment: 3 (25.0%)
6 0 Classical / predictive ML 1 75% 90% DOC Department of Commerce 10 Department of Commerce Not reported: 10 (100.0%)
0 0 Not reported 0 0% 0% DOE Department of Energy 10 Department of Energy Deployed: 2 (20.0%)Department of Energy Pilot: 5 (50.0%)Department of Energy Pre-deployment: 3 (30.0%)
2 2 Classical / predictive ML 2 70% 87% VA Department of Veterans Affairs 9 Department of Veterans Affairs Deployed: 2 (22.2%)Department of Veterans Affairs Pre-deployment: 6 (66.7%)Department of Veterans Affairs Retired: 1 (11.1%)
2 5 Classical / predictive ML 3 22% 57% TREAS Department of the Treasury 9 Department of the Treasury Deployed: 3 (33.3%)Department of the Treasury Pilot: 1 (11.1%)Department of the Treasury Pre-deployment: 5 (55.6%)
3 2 Classical / predictive ML 3 44% 78% DOJ Department of Justice 8 Department of Justice Deployed: 1 (12.5%)Department of Justice Pilot: 1 (12.5%)Department of Justice Pre-deployment: 6 (75.0%)
1 2 Generative AI 5 25% 69% DHS Department of Homeland Security 7 Department of Homeland Security Deployed: 5 (71.4%)Department of Homeland Security Pilot: 1 (14.3%)Department of Homeland Security Pre-deployment: 1 (14.3%)
5 1 Classical / predictive ML 1 86% 94% USDA Department of Agriculture 6 Department of Agriculture Deployed: 1 (16.7%)Department of Agriculture Pilot: 2 (33.3%)Department of Agriculture Pre-deployment: 2 (33.3%)Department of Agriculture Retired: 1 (16.7%)
1 0 Classical / predictive ML 0 50% 72% FRB Federal Reserve Board 5 Federal Reserve Board Deployed: 3 (60.0%)Federal Reserve Board Pilot: 1 (20.0%)Federal Reserve Board Pre-deployment: 1 (20.0%)
3 0 Natural language processing 0 80% 92% FHFA Federal Housing Finance Agency 3 Federal Housing Finance Agency Deployed: 3 (100.0%)
3 0 Classical / predictive ML 0 100% 100% DOT Department of Transportation 3 Department of Transportation Pre-deployment: 3 (100.0%)
0 0 Classical / predictive ML 0 67% 69% TVA Tennessee Valley Authority 2 Tennessee Valley Authority Not reported: 2 (100.0%)
0 0 Not reported 0 0% 17% GSA General Services Administration 1 General Services Administration Deployed: 1 (100.0%)
1 0 Classical / predictive ML 0 0% 33% EPA Environmental Protection Agency 1 Environmental Protection Agency Retired: 1 (100.0%)
0 0 Not reported 0 0% 17% NCUA National Credit Union Administration 1 National Credit Union Administration Deployed: 1 (100.0%)
1 1 Classical / predictive ML 0 100% 100% STATE Department of State 1 Department of State Retired: 1 (100.0%)
0 0 Not reported 0 0% 17%