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: 4 (22.2%)Generative AI
Pilot: 2 (11.1%)Generative AI
Pre-deployment: 12 (66.7%)
Deployed: 1 (14.3%)Classical / predictive ML
Pilot: 1 (14.3%)Classical / predictive ML
Pre-deployment: 5 (71.4%)
Sourcing by technology
Where reportedDeveloped in-house: 1 (5.6%)Generative AI
Contract and in-house: 2 (11.1%)Generative AI
Purchased from vendor: 4 (22.2%)Generative AI
Not reported: 11 (61.1%)
Developed in-house: 1 (14.3%)Classical / predictive ML
Contract and in-house: 1 (14.3%)Classical / predictive ML
Not reported: 5 (71.4%)
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 | Not reported | n | |
|---|---|---|---|---|---|---|---|
| Procurement and Financial Management | 43% | 22% | 30% | 4% | 23 | ||
| Administrative Functions | 57% | 14% | 14% | 14% | 7 | ||
| Other | 67% | 33% | 3 | ||||
| Information Technology | 50% | 50% | 2 | ||||
| Health and Medical | 100% | 1 | |||||
| Law Enforcement | 100% | 1 | |||||
| Science | 100% | 1 |
High-impact designation by technology
Presumed high-impact, determined not: 2 (11.1%)Generative AI
Not high-impact: 14 (77.8%)Generative AI
Not reported: 2 (11.1%)
High-impact: 1 (14.3%)Classical / predictive ML
Not high-impact: 5 (71.4%)Classical / predictive ML
Not reported: 1 (14.3%)
Not high-impact: 8 (72.7%)Natural language processing
Not reported: 3 (27.3%)
Governance disclosure by technology
High-impact records: reported in place / scope| Technology | High-impact | Testing | Impact assess. | Indep. review | Monitoring | Training |
|---|---|---|---|---|---|---|
| Generative AI | 0 | – | – | – | – | – |
| Classical / predictive ML | 1 | 0 / 1 | 0 / 1 | 0 / 1 | 0 / 1 | 0 / 1 |
| Natural language processing | 0 | – | – | – | – | – |
| Agentic AI | 0 | – | – | – | – | – |
| Other | 0 | – | – | – | – | – |
| Not reported | 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
4 of 39 records name a vendor (10%)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 13% 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.