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 Security16DOE · Department of Energy10SSA · Social Security Administration3FERC · Federal Energy Regulatory Commission2SBA · Small Business Administration2STATE · Department of State2EPA · Environmental Protection Agency1TREAS · Department of the Treasury1

Stage

Deployed31Pilot5Pre-deployment1

High-impact

High-impact21Not high-impact16

Topic

AI type

Generative AI8Classical / predictive ML12Natural language processing5Computer vision12

Sourcing

Developed in-house5Contract and in-house19Purchased from vendor13

Vendor

Function

Start year

FromTo

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

failsafe: affirmativefeedback: affirmative

Agency × Development stage

37 records

	Deployed	Pilot	Pre-deployment	Total
DHS	16			16
DOE	8	2		10
SSA	2	1		3
FERC	1	1		2
SBA		1	1	2
STATE	2			2
EPA	1			1
TREAS	1			1
Total	31	5	1	37

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	37	100%
High-impact designation	37	100%
Topic area	37	100%
AI classification	37	100%
Problem	37	100%
Benefits	37	100%
Outputs	37	100%
Sourcing	37	100%
Start date	37	100%
ATO	37	100%
PII	37	100%
Custom code	37	100%

Descriptive statistics

Current filter

Records	37
Agencies	8
Records per agency: median	2
Records per agency: largest	16
Deployed share	83.8%
High-impact share (of designated)	56.8%
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	16	100%	0%	16	0%	75%	100%
DOE	10	80%	20%	0	10%	40%	100%
SSA	3	67%	33%	3	67%	67%	100%
FERC	2	50%	50%	0	50%	100%	100%
SBA	2	0%	50%	0	100%	50%	100%
STATE	2	100%	0%	2	50%	100%	100%
EPA	1	100%	0%	0	0%	100%	100%
TREAS	1	100%	0%	0	100%	0%	100%