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

SBA · Small Business Administration14DOE · Department of Energy11EAC · Election Assistance Commission1FERC · Federal Energy Regulatory Commission1SSA · Social Security Administration1TREAS · Department of the Treasury1

Stage

Deployed9Pilot6Pre-deployment13Retired1

High-impact1

High-impact3Presumed high-impact, determined not1Not high-impact29

Topic

AI type1

Generative AI29Classical / predictive ML12Natural language processing6Agentic AI1

Sourcing

Developed in-house8Contract and in-house1Purchased from vendor20

Vendor

Function

Start year

FromTo

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

AI type: Generative AItesting: affirmativeHigh-impact: Not high-impact

Agency × Development stage

29 records

	Deployed	Pilot	Pre-deployment	Retired	Total
SBA		3	10	1	14
DOE	7	1	3		11
EAC		1			1
FERC		1			1
SSA	1				1
TREAS	1				1
Total	9	6	13	1	29

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	29	0	100%
High-impact designation	29	0	100%
Topic area	29	0	100%
AI classification	29	0	100%
Problem	29	0	100%
Benefits	29	0	100%
Outputs	29	0	100%
Sourcing	29	0	100%
Start date	29	0	100%
ATO	28	1	97%
PII	29	0	100%
Custom code	29	0	100%

Descriptive statistics

Current filter

Records	29
Agencies	6
Records per agency: median	1
Records per agency: largest	14
Deployed share	31.0%
High-impact share (of designated)	0.0%
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 %	Generative %	In-house (of reported)	Completeness
SBA	14	0%	21%	100%	7%	100%
DOE	11	64%	9%	100%	64%	100%
FERC	1	0%	100%	100%	100%	100%
EAC	1	0%	100%	100%	0%	92%
TREAS	1	100%	0%	100%	0%	100%
SSA	1	100%	0%	100%	0%	100%