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 Security14DOE · Department of Energy5SSA · Social Security Administration5SBA · Small Business Administration4FERC · Federal Energy Regulatory Commission2STATE · Department of State1

Stage

Deployed23Pilot5Pre-deployment3

High-impact

High-impact20Presumed high-impact, determined not1Not high-impact10

Topic

AI type

Generative AI9Classical / predictive ML11Natural language processing3Computer vision8

Sourcing

Developed in-house7Contract and in-house15Purchased from vendor9

Vendor

Function

Start year

FromTo

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

appeal: not_applicablefailsafe: affirmativetesting: affirmative

Agency × Development stage

31 records

	Deployed	Pilot	Pre-deployment	Total
DHS	14			14
DOE	3	2		5
SSA	4	1		5
SBA		1	3	4
FERC	1	1		2
STATE	1			1
Total	23	5	3	31

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	31	100%
High-impact designation	31	100%
Topic area	31	100%
AI classification	31	100%
Problem	31	100%
Benefits	31	100%
Outputs	31	100%
Sourcing	31	100%
Start date	31	100%
ATO	31	100%
PII	31	100%
Custom code	31	100%

Descriptive statistics

Current filter

Records	31
Agencies	6
Records per agency: median	4
Records per agency: largest	14
Deployed share	74.2%
High-impact share (of designated)	64.5%
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	14	100%	0%	14	0%	86%	100%
SSA	5	80%	20%	5	40%	100%	100%
DOE	5	60%	40%	0	40%	20%	100%
SBA	4	0%	25%	0	75%	25%	100%
FERC	2	50%	50%	0	50%	100%	100%
STATE	1	100%	0%	1	100%	100%	100%