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 recordsSourcing by technology
Where reportedDeveloped in-house: 1 (7.1%)Generative AI
Purchased from vendor: 2 (14.3%)Generative AI
Not reported: 11 (78.6%)
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 | Agentic AI | Other | n | |
|---|---|---|---|---|---|---|
| Science | 8% | 88% | 4% | 24 | ||
| Law Enforcement | 67% | 17% | 17% | 6 | ||
| Information Technology | 20% | 60% | 20% | 5 | ||
| Other | 75% | 25% | 4 | |||
| Procurement and Financial Management | 67% | 33% | 3 | |||
| Transportation | 67% | 33% | 3 | |||
| Administrative Functions | 50% | 50% | 2 | |||
| Emergency Management | 50% | 50% | 2 | |||
| Energy and the Environment | 100% | 2 | ||||
| Human Resources | 100% | 2 | ||||
| Service Delivery | 100% | 2 | ||||
| Health and Medical | 100% | 1 |
High-impact designation by technology
High-impact: 3 (21.4%)Generative AI
Presumed high-impact, determined not: 3 (21.4%)Generative AI
Not high-impact: 8 (57.1%)
High-impact: 4 (11.1%)Classical / predictive ML
Presumed high-impact, determined not: 1 (2.8%)Classical / predictive ML
Not high-impact: 31 (86.1%)
High-impact: 1 (50.0%)Natural language processing
Not high-impact: 1 (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 | 3 | 0 / 3 | 0 / 3 | 0 / 3 | 0 / 3 | 0 / 3 |
| Classical / predictive ML | 4 | 0 / 4 | 0 / 4 | 0 / 4 | 0 / 4 | 0 / 4 |
| Natural language processing | 1 | 0 / 1 | 0 / 1 | 0 / 1 | 0 / 1 | 0 / 1 |
| Agentic AI | 1 | 0 / 1 | 0 / 1 | 0 / 1 | 0 / 1 | 0 / 1 |
| 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
3 of 56 records name a vendor (5%)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 5% 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.