Project Info
NexaQuanta delivered an AI transformation solution for a leading bank, using Intelligent Document Processing powered by NLP, ML, and OCR to analyse complex multi-document mortgage cases. The solution automates cross-document validation, correlates financial data, and performs 200+ compliance checks, reducing review time by 40% while ensuring consistent and auditable regulatory outcomes.
- Client : A large Bank, Financial Services
- Category : Agentic AI Automation, AI Transformation of Financial Services, Enterprise AI Transformation
Project Info
Client & Industry:
- A large Bank, Financial Services
Challenge:
- Multi-document cases require complex cross-document reasoning
- Correlating bank statements vs declared income was entirely manual
- 200+ disclosure checks were slow and inconsistently applied
AI Solution:
- Developed an AI application for Intelligent Document Processing, combining NLP, ML, and OCR to simultaneously ingest and understand all documents in a mortgage case.
- Auto-correlates transaction data with applicant-declared figures
- Validates 200+ requirements with full timestamped audit trail.
Business Outcome:
- 40% reduced time to complete compliance review per mortgage application
- Reduced regulatory exposure through consistent, repeatable validation across all cases
AI Technologies:
- AI (NLP, OCR, ML, PDF parsing), Python + LAMP stack, Red Hat Linux with OpenShift Container Orchestration, Private Cloud
