Financial services · Mortgage insurer
Document Processing Tool for Mortgage Insurance
Bilions developed a custom document processing tool for the mortgage industry, leveraging advanced OCR technology. This solution improved document processing speed, scalability, and cost efficiency.
- Client
- Mortgage insurer
- Platform
- OCR pipeline
- Scope
- Design, build, deploy
The challenge
A mortgage insurance team needed a custom tool to streamline document processing and improve efficiency for their clients. Existing solutions could not meet the scalability and complexity required as document volume grew.
- Manual, error-prone document processing
- Existing tools that could not scale with rising volume
- Slow turnaround times affecting client satisfaction
Project objectives
- Design a custom document processing tool for the mortgage industry
- Automate document parsing and extraction with OCR
- Integrate seamlessly with existing loan systems and workflows
- Scale to handle growing document volume
The solution
Bilions designed and built a custom document processing tool using advanced OCR (optical character recognition) technology to automate parsing and extraction, reducing manual errors and processing time. Integration with existing loan systems and workflows was seamless, with minimal disruption to ongoing operations.
Key solution areas
- OCR-powered document parsing and extraction
- Scalable processing architecture
- Integration with existing loan workflows
- Automation that reduces manual error
Impact
30% Faster Processing
Documents now process 30% faster, reducing turnaround time and improving client satisfaction.
50% More Volume
The scalable architecture handles a 50% increase in document volume without losing accuracy.
15% Cost Savings
Automation reduced operational costs by 15%, freeing resources for other priorities.
20% Higher Retention
Faster, more accurate processing lifted customer retention and satisfaction scores by 20%.
Related case studies.
What we learned
Measure extraction accuracy field by field, so automation can be trusted at volume.
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