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 Security18DOE · Department of Energy12SBA · Small Business Administration11FERC · Federal Energy Regulatory Commission2SSA · Social Security Administration2STATE · Department of State2TREAS · Department of the Treasury1

Stage

Deployed33Pilot6Pre-deployment8Retired1

High-impact

High-impact22Not high-impact26

Topic

AI type

Generative AI21Classical / predictive ML11Natural language processing5Computer vision11

Sourcing

Developed in-house13Contract and in-house19Purchased from vendor16

Vendor

Function

Start year

FromTo

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

feedback: affirmativetesting: affirmativetraining: affirmative

Agency × Development stage

48 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DHS	18				18
DOE	10		2		12
SBA		4	6	1	11
FERC	1	1			2
SSA	1	1			2
STATE	2				2
TREAS	1				1
Total	33	6	8	1	48

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	48	100%
High-impact designation	48	100%
Topic area	48	100%
AI classification	48	100%
Problem	48	100%
Benefits	48	100%
Outputs	48	100%
Sourcing	48	100%
Start date	48	100%
ATO	48	100%
PII	48	100%
Custom code	48	100%

Descriptive statistics

Current filter

Records	48
Agencies	7
Records per agency: median	2
Records per agency: largest	18
Deployed share	68.8%
High-impact share (of designated)	45.8%
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	18	100%	0%	18	0%	78%	100%
DOE	12	83%	0%	0	58%	83%	100%
SBA	11	0%	36%	0	82%	18%	100%
FERC	2	50%	50%	0	50%	100%	100%
SSA	2	50%	50%	2	100%	100%	100%
STATE	2	100%	0%	2	50%	100%	100%
TREAS	1	100%	0%	0	100%	0%	100%