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 Energy45DHS · Department of Homeland Security20SSA · Social Security Administration4DOI · Department of the Interior1EPA · Environmental Protection Agency1FERC · Federal Energy Regulatory Commission1STATE · Department of State1

Stage1

Deployed73Pilot21Pre-deployment46Retired3

High-impact

High-impact28Not high-impact45

Topic

AI type

Generative AI41Classical / predictive ML13Natural language processing6Computer vision13

Sourcing

Developed in-house12Contract and in-house16Purchased from vendor45

Vendor

Function

Start year

FromTo

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

appeal: not_applicableStage: Deployed

Agency × Development stage

73 records

	Deployed	Total
DOE	45	45
DHS	20	20
SSA	4	4
DOI	1	1
EPA	1	1
FERC	1	1
STATE	1	1
Total	73	73

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	73	0	100%
High-impact designation	73	0	100%
Topic area	73	0	100%
AI classification	73	0	100%
Problem	43	30	59%
Benefits	73	0	100%
Outputs	43	30	59%
Sourcing	73	0	100%
Start date	73	0	100%
ATO	73	0	100%
PII	73	0	100%
Custom code	73	0	100%

Descriptive statistics

Current filter

Records	73
Agencies	7
Records per agency: median	1
Records per agency: largest	45
Deployed share	100.0%
High-impact share (of designated)	38.4%
Mean core-field completeness	93%
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	45	100%	0%	2	87%	13%	89%
DHS	20	100%	0%	20	0%	70%	100%
SSA	4	100%	0%	4	25%	100%	100%
EPA	1	100%	0%	1	0%	100%	100%
FERC	1	100%	0%	0	0%	100%	100%
DOI	1	100%	0%	0	0%	100%	100%
STATE	1	100%	0%	1	100%	100%	100%