Automated Realtime Global Organization Specialist (ARGOS) for Company Registration Submissions to E-Verify
Description
The goal of the use case is to leverage sentiment analysis in ARGOS to streamline the process and accelerate work for the individual who is researching a company that has submitted its information for registration to E-Verify.
Detailed example
Responses back to a user dashboard accessible internally only by VAC Management and Program Analyst (MPA) personnel. Keywords relating to the MPA's work interest are extracted if present and risk scores are assigned to the open-source collected information. The data is presented to the MPA on the GUI (graphical user interface) dashboard.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
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
ARGOS sentiment analysis produces a risk score and keyword extraction identifies the keyword category of interest to the VAC MPAs (management and program analyst) for the aggregated open-source information to help quickly identify any pertinent information to aid the MPAs in their open-source investigation of company applications. This saves potentially thousands of MPA man hours in open-source investigation and creates a single source-of-truth for each MPAs investigation of a company application. This, in turn, allows for quicker application processing and, if risk of company fraud exists, much faster referral processing time quickening the next-step referral to FDNS for further investigations.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
The fine-tuned dataset is collected from open-source queries from the Bing API connected to the ARGOS system. This is publicly available data that doesn't contain any PII.