Tech Consulting Underwriting

Tech Consulting Underwriting

Our client is a lending finance organization with an objective to transition from labor-intensive underwriting methods to a streamlined automated process leveraging cutting-edge technologies. The integration of predictive analysis, open banking data, credit agency insights, and cognitive services has significantly transformed the underwriting landscape.

Tech Consulting Underwriting

The Challenge

Manual underwriting in high-risk lending scenarios has historically been a time-consuming process fraught with challenges. Some of them are listed below:



  1. Time-Consuming Process: Reviewing and verifying extensive documentation, including customer financial records, bank statements, and credit history, consumed hours or even days.
  2. High Risk Nature: As a high-risk lender, the business needed to assess potential customers meticulously to mitigate the risk of default and fraud.
  3. Inconsistent Decision-Making: Manual underwriting introduced room for human error and inconsistencies in decision-making, leading to suboptimal lending choices.
  4. Compliance Burden: Adharing to regulatory and compliance requirements like Anti-Money Laundering (AML) regulations prone to human error.

The Client identified the necessity to elevate its underwriting procedures while upholding streamlined lending operation through process optimization and process operations by embracing cutting-edge technological advancements. The objective was to simplify the underwriting process through new world technology integration and concurrently stimulate increased sales.

Drive to accomplishment

In collaboration with our Client, Ezycon recognized the need for innovation to optimize underwriting processes. Leveraging new world technologies, the following solutions were implemented:


  1. Predictive Analysis of Customer Behavior: By analyzing historical data and customer behavior patterns, the business integrated predictive models that forecasted the likelihood of default or fraudulent activity. This assisted in more accurate risk assessment and quicker decision-making.
  2. Integration with Open Banking and Credit Agencies: Real-time access to open banking data and credit agency insights, including Equifax and Experian, was established. This integration enabled automated collection of financial information and enhanced credit checks, expediting the underwriting process.
  3. Customized Rules based on Business Needs: The adoption of advanced algorithms allowed the business to define and automate customized underwriting rules based on their specific risk tolerance and lending criteria.
  4. Cognitive Services for ID Checks: Cognitive services, powered by AI, were employed to automate the identification verification process. This involved comparing scanned IDs against a database of legitimate documents, reducing the risk of identity fraud.
  5. Automated Bank Statement Analysis: AI-driven algorithms analyzed bank statements to gain insights into a customer's financial health and behavior. This automation accelerated the assessment process of an applicant's ability to repay a loan.

The Outcome

The implementation of new world technologies in the lending finance business yielded remarkable results:


  1. Efficiency Gains: The underwriting process improved from taking more than 7 days to 6 hours on average per case, enabling faster loan approvals, and enhancing customer satisfaction.
  2. Risk Mitigation: Predictive analysis facilitated more accurate risk assessment, reducing the likelihood of defaults and fraudulent activity. As a result, there was 28% reduction in bad loans over 12 months.
  3. Compliance Adherence: Integration with credit agencies and open banking ensured compliance with AML regulations and thorough credit checks.
  4. Consistent Decision-Making: Automation eliminated human error, leading to more consistent and objective lending decisions.
  5. Informed Lending: Automated bank statement analysis provided comprehensive insights into a customer's financial behavior, enabling the business to make well-informed lending choices.

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