Data Explorer · Federal AI Intelligence

Data explorer

Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.

Agency

VA · Department of Veterans Affairs40HHS · Department of Health and Human Services18DOJ · Department of Justice6DHS · Department of Homeland Security1DOE · Department of Energy1NASA · National Aeronautics and Space Administration1

Stage

Deployed47Pilot4Pre-deployment16

High-impact

High-impact42Presumed high-impact, determined not1Not high-impact24

Topic1

AI type1

Sourcing

Developed in-house20Contract and in-house10Purchased from vendor21Not reported16

Vendor

SAS2Deloitte1LexisNexis1

Function

Start year

FromTo

Only records with a parseable start date match a year filter.

AI type: Classical / predictive MLTopic: Health and Medical

Agency × Development stage

67 records

	Deployed	Pilot	Pre-deployment	Total
VA	24	2	14	40
HHS	16	2		18
DOJ	6			6
DHS			1	1
DOE	1			1
NASA			1	1
Total	47	4	16	67

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	67	0	100%
High-impact designation	67	0	100%
Topic area	67	0	100%
AI classification	67	0	100%
Problem	67	0	100%
Benefits	67	0	100%
Outputs	67	0	100%
Sourcing	51	16	76%
Start date	25	42	37%
ATO	25	42	37%
PII	25	42	37%
Custom code	51	16	76%

Descriptive statistics

Current filter

Records	67
Agencies	6
Records per agency: median	1
Records per agency: largest	40
Deployed share	70.1%
High-impact share (of designated)	62.7%
Mean core-field completeness	80%
Records with a parseable start date	37.3%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
VA	40	60%	5%	36	0%	46%	69%
HHS	18	89%	11%	0	0%	94%	100%
DOJ	6	100%	0%	6	0%	0%	100%
NASA	1	0%	0%	0	0%	n/a	58%
DHS	1	0%	0%	0	0%	n/a	58%
DOE	1	100%	0%	0	0%	100%	100%