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Development of Automated Background Verification Web Application
  1. case
  2. Development of Automated Background Verification Web Application

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Development of Automated Background Verification Web Application

blurify.com
Security
Information technology

Operational Inefficiencies in Manual Background Verification

Recon Verification faced significant manual workload in processing candidate applications, including manual cross-referencing of personal information, criminal records, and skill matching against client-specific requirements. The lack of automation led to time-consuming processes and potential human errors in their critical security clearance operations.

About the Client

A background verification company specializing in high-confidentiality candidate vetting for security-sensitive clients

Key Goals for Application Development

  • Automate candidate screening processes
  • Create visual process mapping for application workflows
  • Establish technical complexity assessment
  • Develop MVP scope for prototype creation
  • Implement skill-to-position matching algorithms

Core System Capabilities

  • Resume parsing and structured data extraction
  • Multi-source background check integration
  • Criminal record database cross-referencing
  • Skill requirement matching engine
  • Client-specific position requirement configurator
  • Interactive user journey mapping interface

Technology Stack Requirements

React
Node.js
Amazon AWS
PostgreSQL

System Integration Needs

  • Government criminal record databases
  • HR management systems
  • Identity verification services
  • Client requirement management tools

Operational Requirements

  • High-security data handling with encryption
  • Scalable architecture for concurrent verifications
  • 99.9% system availability SLA
  • Compliance with data privacy regulations
  • Real-time processing performance metrics

Expected Operational Improvements

Implementation of the automated verification system is projected to reduce manual processing time by 60-70%, decrease human errors in background checks, and enable faster candidate placement while maintaining strict compliance with security requirements through standardized digital workflows.

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