Redefining Underwriting Through Intelligent Automation

Client Overview

A leading U.S. lender set out to modernize its underwriting operations to improve turnaround time, strengthen accuracy, and create a more scalable operating model. With multiple underwriting activities running through manual and fragmented workflows, the organization needed a more connected and efficient structure to support growth.

Problem Statement

The underwriting process was spread across several critical but disconnected activities, including third-party data extraction, document quality control, submission processing, loan sizing, risk assessment, and compliance monitoring. Manual intervention across these stages slowed execution, limited visibility, and created room for inconsistencies.

The lender needed a solution that could unify these workflows, improve operational speed, and ensure better governance without compromising underwriting quality.

Solution Provided

Decimal Point Analytics helped build an integrated underwriting automation framework across five live workstreams:

1. Third-Party Data Extraction and Integration

The solution automated the extraction of property summary data, market analytics, and rent data from multiple sources. This data was then used to populate risk models and sizing templates.
Impact: 40% faster processing and support for 10 to 15 deals per day.

2. Document Quality Control (QC) Automation

A structured document validation workflow was introduced using maker-checker processes and IT-integrated file uploads to improve accessibility and control.
Impact: 30% faster QC and 60% improvement in accuracy.

3. Data Extraction and Processing Widget

A trigger-based automated workflow was implemented to detect new submissions, classify documents, assign tracking IDs, apply rule-based QC, and generate structured outputs.
Impact: Processing time reduced from 8 hours to 2 hours.

4. Loan Sizing and Risk Assessment

The automation framework generated risk models using submarket and property-level data, populated loan sizing templates, and created complete risk summary reports.
Impact: 80% faster processing and ASR generated in 2 hours.

5. Monitoring and Compliance

Real-time dashboards were deployed to monitor occupancy and loan performance. The solution also enabled automated Freddie Mac SBL reporting and instant covenant breach alerts.
Impact: 100% SBA compliance and zero exceptions.

Outcome

By automating five core underwriting workstreams, the lender transformed a fragmented process into a connected and scalable underwriting model. The initiative delivered:

• Faster turnaround across underwriting workflows
• Higher accuracy in document QC and processing
• Improved risk analysis and loan sizing efficiency
• Real-time compliance monitoring and reporting
• Greater operational scale, control, and decision readiness

Key Takeaway

The same automation architecture also has broader applicability across adjacent underwriting functions, including P&C, specialty, life, and reinsurance underwriting.

If your organization is looking to modernize underwriting through connected automation, Decimal Point Analytics can help build scalable workflows that improve speed, control, and compliance across the value chain.