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

SEC · Securities and Exchange Commission4DOE · Department of Energy1DOL · Department of Labor1FTC · Federal Trade Commission1HHS · Department of Health and Human Services1HUD · Department of Housing and Urban Development1VA · Department of Veterans Affairs1

Stage

Deployed8Pilot1Retired1

High-impact

Not high-impact10

Topic1

AI type1

Sourcing1

Developed in-house28Contract and in-house10Purchased from vendor4Not reported21

Vendor

Aretec3Deloitte1IBM1Leidos1

Function

Chatbot or virtual assistant1Public-facing customer service1Forecasting and prediction1

Start year

FromTo

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

AI type: Classical / predictive MLSourcing: Contract and in-houseTopic: Other

Agency × Development stage

10 records

	Deployed	Pilot	Retired	Total
SEC	4			4
DOE		1		1
DOL	1			1
FTC			1	1
HHS	1			1
HUD	1			1
VA	1			1
Total	8	1	1	10

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	10	0	100%
High-impact designation	10	0	100%
Topic area	10	0	100%
AI classification	10	0	100%
Problem	10	0	100%
Benefits	10	0	100%
Outputs	10	0	100%
Sourcing	10	0	100%
Start date	9	1	90%
ATO	9	1	90%
PII	9	1	90%
Custom code	10	0	100%

Descriptive statistics

Current filter

Records	10
Agencies	7
Records per agency: median	1
Records per agency: largest	4
Deployed share	80.0%
High-impact share (of designated)	0.0%
Mean core-field completeness	98%
Records with a parseable start date	90.0%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	Generative %	In-house (of reported)	Completeness
SEC	4	100%	0%	0%	100%	100%
HUD	1	100%	0%	0%	100%	100%
HHS	1	100%	0%	0%	100%	100%
DOL	1	100%	0%	0%	100%	100%
VA	1	100%	0%	0%	100%	75%
FTC	1	0%	0%	0%	100%	100%
DOE	1	0%	100%	0%	100%	100%