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 Security20DOE · Department of Energy16SBA · Small Business Administration15SSA · Social Security Administration5FERC · Federal Energy Regulatory Commission2EPA · Environmental Protection Agency1STATE · Department of State1

Stage

Deployed38Pilot9Pre-deployment11Retired2

High-impact

High-impact27Presumed high-impact, determined not1Not high-impact32

Topic

AI type

Generative AI27Classical / predictive ML15Natural language processing5Computer vision13

Sourcing

Developed in-house15Contract and in-house18Purchased from vendor27

Vendor

Function

Start year

FromTo

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

appeal: not_applicabletesting: affirmative

Agency × Development stage

60 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DHS	20				20
DOE	11	3	2		16
SBA		4	9	2	15
SSA	4	1			5
FERC	1	1			2
EPA	1				1
STATE	1				1
Total	38	9	11	2	60

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	60	100%
High-impact designation	60	100%
Topic area	60	100%
AI classification	60	100%
Problem	60	100%
Benefits	60	100%
Outputs	60	100%
Sourcing	60	100%
Start date	60	100%
ATO	60	100%
PII	60	100%
Custom code	60	100%

Descriptive statistics

Current filter

Records	60
Agencies	7
Records per agency: median	5
Records per agency: largest	20
Deployed share	63.3%
High-impact share (of designated)	45.0%
Mean core-field completeness	100%
Records with a parseable start date	100.0%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DHS	20	100%	0%	20	0%	70%	100%
DOE	16	69%	19%	0	69%	50%	100%
SBA	15	0%	27%	0	80%	13%	100%
SSA	5	80%	20%	5	40%	100%	100%
FERC	2	50%	50%	0	50%	100%	100%
EPA	1	100%	0%	1	0%	100%	100%
STATE	1	100%	0%	1	100%	100%	100%