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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
USDA · USDA-070 · record R1371

Incident Invoice Document Understanding

Department of Agriculture · Natural Resources and Environment

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2025-06-16 (day precision)Source: 6/16/2025
Withheld from public reporting
Not reported

Mission

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

Problem the AI is intended to solve

Staff is overburdened by manual document handling, resulting in less time to focus on high-value strategic tasks. This tool automates data extraction from forms and invoices.

Expected benefits

Enhanced workflow efficiency, better knowledge management, improved accuracy and consistency, frees up staff to focus on strategic tasks rather than manual document handling.

System outputs

The Output is a CSV file with confidence level to be able to send the invoice data to the payment system

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
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)
UI Path
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
k) None of the above
Training and evaluation data
PDF form OF-286 for Emergency Equipment Use Invoice
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