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Case Study: A leading private sector bank improves speed by 10x for a core banking process
In this episode, we explore how a leading private sector bank in India partnered with Datamatics to enhance the efficiency of its credit limit extension process for corporate overdraft facilities, achieving a remarkable 10x improvement in processing speed. The bank faced challenges due to a high volume of daily requests, manual dependencies, and stringent service level agreements (SLAs), which led to prolonged turnaround times and impacted customer satisfaction. Datamatics implemented a comprehensive solution combining Robotic Process Automation (RPA) with Cognitive Automation elements. This solution automated the reading and validation of incoming requests, updated credit limits across multiple touchpoints in the core banking system, and managed exceptions with minimal manual intervention. As a result, the bank achieved 100% accuracy, improved productivity by 91.67%, and enabled real-time resolution of credit limit extensions, significantly enhancing customer service and operational efficiency.
To read the entire case study, visit us at https://www.datamatics.com/resources/case-studies/a-leading-private-sector-bank-improves-speed-by-10x-for-a-core-banking-process.
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By DatamaticsIn this episode, we explore how a leading private sector bank in India partnered with Datamatics to enhance the efficiency of its credit limit extension process for corporate overdraft facilities, achieving a remarkable 10x improvement in processing speed. The bank faced challenges due to a high volume of daily requests, manual dependencies, and stringent service level agreements (SLAs), which led to prolonged turnaround times and impacted customer satisfaction. Datamatics implemented a comprehensive solution combining Robotic Process Automation (RPA) with Cognitive Automation elements. This solution automated the reading and validation of incoming requests, updated credit limits across multiple touchpoints in the core banking system, and managed exceptions with minimal manual intervention. As a result, the bank achieved 100% accuracy, improved productivity by 91.67%, and enabled real-time resolution of credit limit extensions, significantly enhancing customer service and operational efficiency.
To read the entire case study, visit us at https://www.datamatics.com/resources/case-studies/a-leading-private-sector-bank-improves-speed-by-10x-for-a-core-banking-process.