Technology landscape
How reported AI classifications spread across agencies, missions, lifecycle stages and sourcing. Each record carries one reported classification, so categories do not overlap. A classification describes the technique, not a specific commercial model.
Lifecycle by technology
Share of each technology's recordsDeployed: 9 (25.7%)Generative AI
Pilot: 6 (17.1%)Generative AI
Pre-deployment: 19 (54.3%)Generative AI
Retired: 1 (2.9%)
Sourcing by technology
Where reportedDeveloped in-house: 15 (42.9%)Generative AI
Contract and in-house: 4 (11.4%)Generative AI
Purchased from vendor: 16 (45.7%)
Developed in-house: 8 (57.1%)Classical / predictive ML
Contract and in-house: 4 (28.6%)Classical / predictive ML
Purchased from vendor: 2 (14.3%)
Developed in-house: 1 (25.0%)Natural language processing
Contract and in-house: 3 (75.0%)
Technology adoption by agency
Row share: each agency's records by classification · 16 largest portfolios in the filterTechnology by topic area
Row share within each topic| Generative AI | Classical / predictive ML | Natural language processing | Computer vision | Agentic AI | Other | n | |
|---|---|---|---|---|---|---|---|
| Law Enforcement | 28% | 6% | 67% | 18 | |||
| Administrative Functions | 92% | 8% | 12 | ||||
| Information Technology | 90% | 10% | 10 | ||||
| Government Benefits Processing | 40% | 60% | 5 | ||||
| Procurement and Financial Management | 40% | 20% | 20% | 20% | 5 | ||
| Service Delivery | 60% | 40% | 5 | ||||
| Other | 75% | 25% | 4 | ||||
| Cybersecurity | 50% | 50% | 2 | ||||
| Energy and the Environment | 50% | 50% | 2 | ||||
| Health and Medical | 100% | 1 | |||||
| Human Resources | 100% | 1 | |||||
| International Affairs | 100% | 1 | |||||
| Science | 100% | 1 | |||||
| Transportation | 100% | 1 |
High-impact designation by technology
High-impact: 5 (14.3%)Generative AI
Presumed high-impact, determined not: 1 (2.9%)Generative AI
Not high-impact: 29 (82.9%)
High-impact: 2 (50.0%)Natural language processing
Not high-impact: 2 (50.0%)
Governance disclosure by technology
High-impact records: reported in place / scope| Technology | High-impact | Testing | Impact assess. | Indep. review | Monitoring | Training |
|---|---|---|---|---|---|---|
| Generative AI | 5 | 3 / 5 | 4 / 5 | 4 / 5 | 2 / 5 | 5 / 5 |
| Classical / predictive ML | 9 | 9 / 9 | 8 / 9 | 8 / 9 | 9 / 9 | 9 / 9 |
| Natural language processing | 2 | 2 / 2 | 1 / 2 | 1 / 2 | 1 / 2 | 2 / 2 |
| Computer vision | 12 | 12 / 12 | 11 / 12 | 11 / 12 | 12 / 12 | 12 / 12 |
| Agentic AI | 0 | – | – | – | – | – |
| Other | 0 | – | – | – | – | – |
Shows counts reported in place against all high-impact records of that technology. The remainder includes in-progress, not applicable and unanswered. Full governance view
Systems, vendors and technology are different things
45 of 68 records name a vendor (66%)Vendor: the supplier the agency names in a free-text field. Matched to a standard list of companies; one record may name several.
System name: the agency's name for the system (reported for 100% of records).
AI classification: the technique category the agency selected. A vendor name does not show which model or technique is used, and this platform does not infer it.