Case Study

Project Information

  • Client:OfferMeLoan
  • Date:Nov 15, 2021
  • Author: Involve Technologies
  • Place: India

Case Study

OfferMeLoan Case Study: AI Automation Using Make & Zapier  

Introduction  

In the fast-evolving financial technology (FinTech) sector, efficiency, speed, and accuracy are paramount. OfferMeLoan, a forward-thinking online lending platform, partnered with  Involve Technologies to automate its loan processing workflows using  AI-driven automation tools like  Make and  Zapier . This case study explores the automation journey, benefits to the business, technologies involved, and the tangible results achieved.  

About OfferMeLoan  

OfferMeLoan is an innovative lending platform that provides fast and flexible personal and business loans. With increasing customer demand, manual processes for loan approval, verification, and follow-ups became bottlenecks. The need for a  scalable, automated, and error-free system became critical.  

Challenges Faced  

Before automation, OfferMeLoan faced the following challenges:  

  1. Manual Workflow Management: Loan applications required multiple manual steps involving data entry, verification, and follow-ups. 
  2. Delayed Processing: Manual processes slowed down loan approvals, resulting in reduced customer satisfaction.  
  3. Human Error: Repetitive manual tasks increased the likelihood of errors.  
  4. Inefficient Communication: Multiple tools for email, CRM, and notifications created fragmented workflows.  

Solution by Involve Technologies  

Involve Technologies implemented a comprehensive  AI-driven automation solution using  Make and  Zapier . The approach included:  

1. Workflow Automation  

  • Automated loan application data collection from forms and emails.  
  • Integrated CRM, email, and SMS systems to ensure timely communication with customers.  
  • Created dynamic workflows for approvals based on predefined rules.  

2. AI Integration  

  • Leveraged AI to validate customer data and detect discrepancies.  
  • Smart decision-making algorithms helped pre-approve eligible loan applicants.  

3. Seamless Integrations  

  • Make (formerly Integromat) was used for advanced multi-step automation workflows.  
  • Zapier provided easy-to-use automation for repetitive tasks and connecting multiple apps like Google Sheets, CRMs, email platforms, and Slack.  

4. Error Reduction and Monitoring  

  • Automated error detection and alert system to reduce manual oversight.  
  • Continuous monitoring ensured faster resolution of issues.  

Workflow Example  

A typical automated workflow implemented:  

  1. Customer submits a loan application via the OfferMeLoan website.  
  2. AI algorithms validate customer data (KYC, income verification).  
  3. Make triggers workflow: sends data to CRM, updates loan status, notifies the team.  
  4. Zapier automates email/SMS notifications to customers.  
  5. Approved applications are processed automatically, and payment scheduling is set up.  

Industry Benefits of AI Automation in Lending  

  1. Faster Loan Processing: Reduced approval time from days to hours.    
  2. Higher Accuracy: Minimization of human errors in data entry and validation.  
  3. Cost Savings: Reduced operational costs by automating repetitive tasks.  
  4. Improved Customer Experience: Real-time updates and notifications improve customer satisfaction.  
  5. Scalability: Automation allows handling more applications without increasing staff.  

Technologies Used  

  • Make: For complex automation and multi-step workflows.  
  • Zapier: For connecting various apps and automating repetitive tasks.  
  • AI & Machine Learning: For data validation, fraud detection, and decision-making.  
  • Cloud-Based CRM & Email Systems: For seamless communication and workflow management.  

Results Achieved  

  • 50% faster loan approval process within the first quarter of implementation.  
  • 70% reduction in manual errors and follow-ups.  
  • Improved customer satisfaction with automated status updates and notifications.  
  • Enhanced operational efficiency and better resource allocation.  

Conclusion  

The collaboration between  OfferMeLoan and  Involve Technologies demonstrates how  AI-powered automation using Make and Zapier can transform loan processing. By automating workflows, reducing errors, and improving customer experience, OfferMeLoan set a benchmark in the FinTech lending sector.  

For businesses seeking to  streamline operations, increase accuracy, and scale efficiently , AI-driven workflow automation is no longer optional it is essential.  

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