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Case studyMortgage Loan Processing System

Modernizing document handling and data processing for a bank's mortgage lending workflow, from manual extraction to AI-driven automation.

Industry
Banking and Finance
Headquarters
United States
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Mortgage Loan Processing System
Key Metrics Measured after
rollout
0%
Faster Loan Processing
0%
Reduction in Data Errors
0%
Improved Workflow Efficiency
0%
Decrease in Compliance Risks
Background

A mortgage lending workflow slowed by manual document handling.

Horizon Bank is a trusted financial institution specializing in a wide range of banking services, including mortgage lending.

Operating across multiple regions, the bank processes significant volumes of borrower-submitted documents, such as tax returns and pay stubs, through the Encompass portal (or similar third-party tools).

To maintain efficiency and ensure compliance with strict regulatory standards, the bank sought to modernize its document handling and data processing workflows.

Background
Banking and Finance
United States
Challenges faced & defined solution

5 real bottlenecks. 5 matching fixes.

Every operational bottleneck reported was matched to the workstream(s) that resolved it.

The challenge

Manual Data Extraction Slowed Processes

The bank’s team manually extracted borrower information, such as income and tax details, from submitted documents. This manual approach led to delays, frequent errors and inefficiencies.

Defined solution

AI-Driven Data Extraction and Mapping

An AI-powered system extracted key information, such as borrower income and credit history, from documents and mapped it directly to Encompass. Configurable templates handled diverse document types, improving accuracy and reducing manual effort.

The challenge

Inconsistent Data Handling

The absence of configurable templates for various document types resulted in inconsistent data extraction and mapping, impacting the accuracy of loan approvals.

Defined solution

Configurable Document Templates

Templates were created for different document types, including tax returns and pay stubs, to standardize data extraction without requiring hardcoded fields. This approach ensured flexibility and adaptability in handling various documents.

The challenge

Limited Data Mapping to Encompass

Entering extracted data manually into Encompass was labor-intensive. Key fields like gross income lacked automation, which slowed down loan processing and caused bottlenecks.

Defined solution

Streamlined Document Verification and Change Tracking

The system tracked changes in borrower documents, such as income adjustments, and allowed users to verify and correct extracted data before submission to Encompass. This streamlined the verification process and reduced manual errors.

The challenge

Manual Document Categorization

Without automated categorization of critical loan documents (e.g. tax returns, pay stubs), the bank faced delays in organizing and processing loan applications.

Defined solution

Mortgage Document Categorization and Search Optimization

Documents such as tax returns and W-2s were categorized using OCR technology, enabling full-text search capabilities. This improved document organization and processing speed.

The challenge

Lack of Automated Data Validation

The absence of an automated system for validating extracted data led to frequent errors, requiring additional resources for corrections and slowing down the loan approval process.

Defined solution

Automated Risk Detection and Flagging

The system identified and flagged inconsistencies, such as mismatches in income or collateral, in real time. Automated alerts ensured timely error detection, reducing compliance risks and expediting the loan approval process.

The Impacts

Real, measurable improvements in speed, accuracy and compliance.

Improved Speed

Document digitization and search optimization accelerated processing and organization.

Increased Accuracy

AI-driven data extraction reduced manual errors, enhancing accuracy in loan processing.

Flexible Handling

Configurable templates provided adaptability for processing diverse document types.

Enhanced Loan Management

Document tracking improved transparency and management of borrower data.

Compliance and Risk Mitigation

Automated risk flagging reduced compliance risks and ensured regulatory adherence.

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