Document Flow Automation

An automatic document upload and recognition system was implemented, utilizing Optical Character Recognition (OCR) technologies for efficient reading and verification of document data. Biometric authentication tools, including facial recognition to enhance the security level of customer identification.

AutomationRegulatory ComplianceOCRBiometric authentication

development duration

3 months

  • Business Analyst
  • PM
  • Architect
  • Back Developer
  • QA
  • DevOps
  • SecOps

Technology Stack

Java
PostgreSQL
MongoDB
AWS

Task

  • Optimization of data processing: Eliminate the problem of slow and labor-intensive manual data entry and document verification.
  • Error reduction: Minimize the human factor, that led to inaccuracies and delays.
  • Efficiency improvement: Reduce time and resource costs for routine operations.
  • Enhanced customer service: Improve speed and quality of client interactions through automation.

What was done

  • Integration with a biometric authentication platform: Connected to a partner system to leverage advanced document recognition and biometric verification technologies without developing a solution from scratch.
  • Staff training and process adaptation: Conducted training sessions for client employees and optimized internal processes for automated data processing.
  • System testing and implementation: After a pilot launch and necessary adjustments, the system was fully integrated into the client’s infrastructure and put into production.

How it works

  • Increased data processing speed: Significant reduction in document processing and client identification time, thanks to automation.
  • Reduction of human errors: Minimization of data entry errors and increased accuracy of document verification.
  • Enhanced security level: Biometric authentication provided an additional layer of protection against fraud.
  • Improved customer experience: The acceleration of the identification process made the procedure more convenient for clients, increasing their satisfaction and loyalty.
  • Cost optimization: Reduction in expenses for staff, involved in manual data entry and decreased costs for error correction.