Data Explorer · U.S. Federal AI Observatory

Data explorer

Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.

Agency

DOI · Department of the Interior26DOE · Department of Energy7SBA · Small Business Administration3

Stage

Deployed14Pilot7Pre-deployment14Retired1

High-impact1

High-impact18Not high-impact36

Topic

AI type1

Sourcing

Developed in-house23Purchased from vendor5Not reported8

Vendor

ServiceNow4Grammarly1

Function

Forecasting and prediction4Image and video analysis4Procurement and acquisition1Translation and transcription1

Start year

FromTo

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

AI type: Classical / predictive MLtraining: affirmativeHigh-impact: Not high-impact

Agency × Development stage

36 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DOI	8	6	12		26
DOE	6		1		7
SBA		1	1	1	3
Total	14	7	14	1	36

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	36	0	100%
High-impact designation	36	0	100%
Topic area	36	0	100%
AI classification	36	0	100%
Problem	36	0	100%
Benefits	36	0	100%
Outputs	36	0	100%
Sourcing	28	8	78%
Start date	24	12	67%
ATO	36	0	100%
PII	36	0	100%
Custom code	36	0	100%

Current filter

Records	36
Agencies	3
Records per agency: median	7
Records per agency: largest	26
Deployed share	38.9%
High-impact share (of designated)	0.0%
Mean core-field completeness	95%
Records with a parseable start date	66.7%

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	Generative %	In-house (of reported)	Completeness
DOI	26	31%	23%	0%	100%	94%
DOE	7	86%	0%	0%	57%	100%
SBA	3	0%	33%	0%	33%	100%