Federal AI Intelligence
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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
STATE · no agency ID · record R3222

Within Grade Increase Data Extraction Automation

Department of State · CGFS

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2023-10-17 (day precision)Source: 10/17/2023 00:00:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Procurement and Financial Management
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Moving large amounts of data from paper and/or digital forms into a digital system can be challenging, time intensive, and costly.

Expected benefits

Lower processing time and resources for cost savings.

System outputs

Tabulated dataset of extracted values referred for human review.

Technology

AI classification
Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s)
Not reported
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported)
GCP
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
i) Income; j) Employment Status
Training and evaluation data
Mocked-up forms
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported