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

DHS · Department of Homeland Security4HHS · Department of Health and Human Services4DOJ · Department of Justice3VA · Department of Veterans Affairs2GSA · General Services Administration1TREAS · Department of the Treasury1

Stage

Deployed7Pilot1Pre-deployment7

High-impact

High-impact4Presumed high-impact, determined not4Not high-impact6Not reported1

Topic

AI type1

Sourcing

Developed in-house2Contract and in-house4Purchased from vendor2Not reported7

Vendor

Verisk1

Function1

Start year

FromTo

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

AI type: Classical / predictive MLFunction: Fraud, waste and improper payments

Agency × Development stage

15 records

	Deployed	Pilot	Pre-deployment	Total
DHS	3		1	4
HHS	1		3	4
DOJ	1		2	3
VA	1	1		2
GSA			1	1
TREAS	1			1
Total	7	1	7	15

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	15	0	100%
High-impact designation	14	1	93%
Topic area	15	0	100%
AI classification	15	0	100%
Problem	15	0	100%
Benefits	14	1	93%
Outputs	14	1	93%
Sourcing	8	7	53%
Start date	6	9	40%
ATO	6	9	40%
PII	6	9	40%
Custom code	8	7	53%

Descriptive statistics

Current filter

Records	15
Agencies	6
Records per agency: median	2
Records per agency: largest	4
Deployed share	46.7%
High-impact share (of designated)	28.6%
Mean core-field completeness	76%
Records with a parseable start date	40.0%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
HHS	4	25%	0%	0	0%	100%	69%
DHS	4	75%	0%	1	0%	100%	90%
DOJ	3	33%	0%	2	0%	0%	72%
VA	2	50%	50%	1	0%	100%	75%
GSA	1	0%	0%	0	0%	n/a	33%
TREAS	1	100%	0%	0	0%	0%	100%