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

DOE · Department of Energy25DHS · Department of Homeland Security19SBA · Small Business Administration15SSA · Social Security Administration5FERC · Federal Energy Regulatory Commission2EPA · Environmental Protection Agency1STATE · Department of State1

Stage

Deployed35Pilot7Pre-deployment24Retired2

High-impact

High-impact28Presumed high-impact, determined not1Not high-impact39

Topic

AI type

Sourcing

Developed in-house27Contract and in-house17Purchased from vendor24

Vendor

Function

Start year

FromTo

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

appeal: not_applicabletraining: affirmative

Agency × Development stage

68 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DOE	9	1	15		25
DHS	19				19
SBA		4	9	2	15
SSA	4	1			5
FERC	1	1			2
EPA	1				1
STATE	1				1
Total	35	7	24	2	68

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	68	0	100%
High-impact designation	68	0	100%
Topic area	68	0	100%
AI classification	68	0	100%
Problem	68	0	100%
Benefits	68	0	100%
Outputs	68	0	100%
Sourcing	68	0	100%
Start date	65	3	96%
ATO	68	0	100%
PII	68	0	100%
Custom code	68	0	100%

Descriptive statistics

Current filter

Records	68
Agencies	7
Records per agency: median	5
Records per agency: largest	25
Deployed share	51.5%
High-impact share (of designated)	41.2%
Mean core-field completeness	100%
Records with a parseable start date	95.6%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOE	25	36%	4%	2	76%	80%	99%
DHS	19	100%	0%	19	0%	68%	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%