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 Energy14DHS · Department of Homeland Security11SBA · Small Business Administration10FERC · Federal Energy Regulatory Commission2SSA · Social Security Administration2STATE · Department of State1

Stage

Deployed24Pilot8Pre-deployment7Retired1

High-impact

High-impact14Not high-impact26

Topic

AI type

Generative AI21Classical / predictive ML7Natural language processing5Computer vision7

Sourcing

Developed in-house9Contract and in-house15Purchased from vendor16

Vendor

Function

Start year

FromTo

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

appeal: not_applicablefeedback: affirmativetesting: affirmative

Agency × Development stage

40 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DOE	10	2	2		14
DHS	11				11
SBA		4	5	1	10
FERC	1	1			2
SSA	1	1			2
STATE	1				1
Total	24	8	7	1	40

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	40	100%
High-impact designation	40	100%
Topic area	40	100%
AI classification	40	100%
Problem	40	100%
Benefits	40	100%
Outputs	40	100%
Sourcing	40	100%
Start date	40	100%
ATO	40	100%
PII	40	100%
Custom code	40	100%

Descriptive statistics

Current filter

Records	40
Agencies	6
Records per agency: median	2
Records per agency: largest	14
Deployed share	60.0%
High-impact share (of designated)	35.0%
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
DOE	14	71%	14%	0	64%	50%	100%
DHS	11	100%	0%	11	0%	91%	100%
SBA	10	0%	40%	0	80%	20%	100%
FERC	2	50%	50%	0	50%	100%	100%
SSA	2	50%	50%	2	100%	100%	100%
STATE	1	100%	0%	1	100%	100%	100%