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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R0882

Intelligent Document Processing to analyze current import entry documentation for potential discrepancies

Department of Health and Human Services · HHS/FDA/OII

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
Not reported
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Health and Medical
Operational functions
Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

The intent is to assist in the process of discrepancy identification between documentation submitted by trade and CBP line data submitted.

Expected benefits

By streamlining the manual document review process for standard entry documentation from trade, we can significantly reduce the time required for each line review, freeing up substantial analyst capacity to focus on high-risk shipments that pose greater threats to public health and safety. This efficiency improvement enables better resource allocation, reduces processing bottlenecks, and supports faster clearance times for compliant shipments while maintaining robust oversight. The enhanced operational efficiency directly supports FDA's core mission by enabling more targeted, risk-based resource deployment and improving both trade facilitation and import safety program integrity.

System outputs

List of discrepancies between document data and CBP line level information

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
Not reported
Custom-developed code
Not reported
Public source code
Not reported

Sourcing

How it was built
Not reported
Vendor (as reported)
Not reported
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
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
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