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Integrated Digital I9 Verification Platform for Workforce Compliance
  1. case
  2. Integrated Digital I9 Verification Platform for Workforce Compliance

Integrated Digital I9 Verification Platform for Workforce Compliance

simpalm.com
Government
Business services

Challenges in Manual and Fragmented Workforce Identity Verification Processes

Organizations face difficulties managing the collection, verification, and storage of employee identification documents during onboarding. These challenges include tracking multiple document submission channels, incomplete data submissions, difficulty in verifying identities, and concerns over data privacy and security, which lead to delays and inaccuracies in I9 compliance processes.

About the Client

A mid-sized government contractor specializing in workforce onboarding and identity verification processes seeking a streamlined digital solution for I9 compliance.

Goals for Developing a Secure, Efficient I9 Verification System

  • Create a unified application that consolidates employee document submission and verification processes
  • Enable employees to submit I9 forms and identification documents via a guided mobile interface
  • Automate extraction of data from identification document images to populate the I9 form
  • Provide employers with a web portal for managing invitations, tracking submission status, and reviewing submitted documents
  • Ensure high standards of data privacy and security, including automatic deletion of sensitive information post-verification
  • Reduce time-to-complete the I9 process and improve accuracy and compliance metrics

Core Functional Requirements for the Digital I9 Verification System

  • Mobile app interface for new hires to receive requests, follow step-by-step instructions, capture photographs of identification documents, and submit data securely
  • Dynamic workflow adaptation based on responses such as citizenship status and document types
  • Automated data extraction from document images to populate I9 forms accurately
  • Web portal for employers to send invitations, monitor submission progress, manage user access, and view all submissions centrally
  • Secure data handling and automatic deletion of sensitive information after verification completion
  • Notification system for timely reminders and updates to employees and employers

Technology Stack and Architectural Best Practices

Mobile application development using native technologies (e.g., Swift for iOS, Kotlin for Android) or cross-platform frameworks
Web application built with modern frameworks (e.g., PHP Laravel, or equivalent backend framework), HTML, and JavaScript (e.g., jQuery)
Image data processing and OCR integration for automated data extraction
Secure cloud storage and server infrastructure ensuring data privacy
Compliance with industry standards for secure data handling and privacy

Essential External System Integrations

  • Identity document recognition and OCR services for automated data extraction
  • Notification and communication platforms for invitations and reminders
  • Secure databases with automated data deletion scripts post-verification

Non-Functional System Requirements for Reliability and Security

  • System scalability to support increasing numbers of users and documents
  • High availability and uptime (e.g., 99.9%) to ensure smooth onboarding operations
  • Data security with encryption, role-based access controls, and automatic post-processing data deletion
  • Performance metrics ensuring fast response times for both mobile and web interfaces
  • Compliance with data privacy regulations applicable to government and private sector workflows

Projected Business Benefits and Performance Improvements

Implementing a centralized, automated I9 verification platform is expected to significantly reduce onboarding times, improve data accuracy through automated extraction, and enhance compliance adherence. The system aims to streamline document management, eliminate manual tracking inefficiencies, and ensure robust security, ultimately enabling the organization to process employee verifications more efficiently and securely, with potential reductions in onboarding delays and data errors.

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