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 Security23DOE · Department of Energy14SSA · Social Security Administration7STATE · Department of State2EPA · Environmental Protection Agency1FERC · Federal Energy Regulatory Commission1TREAS · Department of the Treasury1USDA · Department of Agriculture1

Stage1

Deployed50Pilot8Pre-deployment14

High-impact

High-impact35Not high-impact15

Topic

AI type

Generative AI6Classical / predictive ML24Natural language processing6Computer vision14

Sourcing

Developed in-house12Contract and in-house20Purchased from vendor18

Vendor

Function

Start year

FromTo

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

failsafe: affirmativeStage: Deployed

Agency × Development stage

50 records

	Deployed	Total
DHS	23	23
DOE	14	14
SSA	7	7
STATE	2	2
EPA	1	1
FERC	1	1
TREAS	1	1
USDA	1	1
Total	50	50

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	50	100%
High-impact designation	50	100%
Topic area	50	100%
AI classification	50	100%
Problem	50	100%
Benefits	50	100%
Outputs	50	100%
Sourcing	50	100%
Start date	50	100%
ATO	50	100%
PII	50	100%
Custom code	50	100%

Descriptive statistics

Current filter

Records	50
Agencies	8
Records per agency: median	1
Records per agency: largest	23
Deployed share	100.0%
High-impact share (of designated)	70.0%
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	23	100%	0%	23	0%	78%	100%
DOE	14	100%	0%	2	21%	29%	100%
SSA	7	100%	0%	7	14%	71%	100%
STATE	2	100%	0%	2	50%	100%	100%
USDA	1	100%	0%	1	0%	100%	100%
EPA	1	100%	0%	0	0%	100%	100%
FERC	1	100%	0%	0	0%	100%	100%
TREAS	1	100%	0%	0	100%	0%	100%