Intelligent Document Processing
Description
This use case intends to solve the problem of the manual effort required to validate and extract data from forms.
Detailed example
This platform will provide Optical Character Recognition and machine learning models to verify, extract, and classify information from ICE forms.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Business units within ICE leverage these services to automate repeatable, time-consuming processes such as invoice processing, and form entry validation and extraction. This platform will provide Optical Character Recognition and machine learning models to verify, extract, and classify information from ICE forms. Using AI to provide information extraction for these processes saves ICE personnel a significant amount of time while improving data quality and enabling automation.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
ICE’s document understanding platforms provide out-of-the box models to verify and/or extract information from a variety of document types. These platforms also include the ability to create an ML feedback loop to tailor the models to try to improve the accuracy in extracting data fields from multiple document types. In this scenario, ICE would fine-tune the document understanding model using the documents submitted to the understanding workflow.