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 (16.0%)Generative AI
Pilot: 3 (12.0%)Generative AI
Pre-deployment: 17 (68.0%)Generative AI
Retired: 1 (4.0%)
Deployed: 12 (36.4%)Classical / predictive ML
Pilot: 7 (21.2%)Classical / predictive ML
Pre-deployment: 13 (39.4%)Classical / predictive ML
Retired: 1 (3.0%)
Sourcing by technology
Where reportedDeveloped in-house: 23 (69.7%)Classical / predictive ML
Contract and in-house: 1 (3.0%)Classical / predictive ML
Purchased from vendor: 1 (3.0%)Classical / predictive ML
Not reported: 8 (24.2%)
Developed in-house: 2 (40.0%)Natural language processing
Contract and in-house: 1 (20.0%)Natural language processing
Purchased from vendor: 1 (20.0%)Natural language processing
Not reported: 1 (20.0%)
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 | |
|---|---|---|---|---|---|---|---|
| Science | 7% | 82% | 7% | 4% | 28 | ||
| Administrative Functions | 92% | 8% | 12 | ||||
| Law Enforcement | 29% | 14% | 57% | 7 | |||
| Procurement and Financial Management | 40% | 20% | 20% | 20% | 5 | ||
| Service Delivery | 60% | 40% | 5 | ||||
| Energy and the Environment | 25% | 75% | 4 | ||||
| Information Technology | 100% | 4 | |||||
| Other | 33% | 33% | 33% | 3 | |||
| Cybersecurity | 50% | 50% | 2 | ||||
| Emergency Management | 100% | 1 | |||||
| Government Benefits Processing | 100% | 1 | |||||
| Human Resources | 100% | 1 | |||||
| International Affairs | 100% | 1 |
High-impact designation by technology
High-impact: 1 (20.0%)Natural language processing
Not high-impact: 4 (80.0%)
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 | 3 | 3 / 3 | 2 / 3 | 2 / 3 | 3 / 3 | 3 / 3 |
| Natural language processing | 1 | 1 / 1 | 0 / 1 | 0 / 1 | 0 / 1 | 1 / 1 |
| Computer vision | 4 | 4 / 4 | 4 / 4 | 4 / 4 | 4 / 4 | 4 / 4 |
| 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
22 of 74 records name a vendor (30%)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 53% 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.