Muthoot Finance Saves 5,46,000 Hours Annually in Loan Approval Processing with Intelligent Automation: A Case Study

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Loan Process Automation Case Study

Industry: NBFC

Department: FINANCE

Process: LOAN PROCESS

5,46,000

hours saved annually

100%

accuracy achieved

Adherence

to stringent RBI guidelines

The Client

Muthoot Finance is one of the leading non-banking financial companies (NBFCs) in India, handling a high volume of loan applications daily through its Core Banking System (CBS) portal.

The Challenge

With a growing customer base and a daily volume of 5,000–7,000 loan applications, Muthoot Finance relied on a team of 15–20 employees to manually review and process each loan request. This manual approach took approximately 10–15 minutes per transaction, making the process highly time-consuming and error-prone. The increasing workload not only led to inefficiencies and employee fatigue but also limited the company’s ability to scale operations effectively in line with its rapid growth.

Challenges faced

  • Time-intensive and repetitive manual processing
  • Higher chances and risk of human error
  • Inability to scale with rising transaction volumes
  • Increased operational burden on employees

The Solution

RPATech implemented an intelligent automation solution by deploying 3 unattended bots designed to handle the rule-based validation of loan applications. These bots were trained on the company’s pre-defined approval/rejection criteria and were capable of processing each transaction in just 1–2 minutes. Once the bots complete their checks, they generate an MIS report summarizing the approved and rejected applications. This report is then sent to human staff for a final review and approval, ensuring compliance with RBI guidelines and internal loan disbursement policies while significantly reducing manual effort.

Key aspects of the solution

  • Automation of all rule-based steps in the loan approval process
  • Generation of MIS logs for each transaction for full traceability
  • Human-in-the-loop model maintained for final decision-making
  • Seamless integration with existing CBS portal and processes

Results

KPI

Pre-Automation

Post-Automation

Average Handling Time

10–15 minutes per transaction

1–2 minutes per transaction

Human Involvement

15–20 employees manually reviewing

3 unattended bots

Accuracy

Prone to manual errors

100% accuracy in execution

Operational Hours Utilized

Full-day effort from staff

Fully automated processing

Reporting

Manually and inconsistent

Auto-generated MIS reports

Adopting automation for Muthoot Finance is more related to the changing trend in technology. We're growing exponentially and automation is most important to match with that scale of growth... The advantages we've seen with automation is more related to compliance. We're also trying to create a mindset of automation within the organization.

Piyush Srivastava

Head of IT- North, Muthoot Finance

The Outcomes

  • 5,46,000 hours saved annually
  • Zero errors through strict rule enforcement
  • Adherence to stringent RBI guidelines and internal policies
  • Improved process efficiency and better resource utilization

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