Abstract
Robotic Process Automation (RPA) is a technology used by banks and other financial institutions to automate manual business operations so that they can compete in today’s market. Onboarding clients, ongoing services, credit card processing, mortgage processing, loan processing, and information retrieval are just a few of the banking activities that necessitate a huge workforce and take time. The necessity for a big workforce for these procedures is rapidly shrinking with the development of Robotic Process Automation and other cognitive technologies. Through automation, the bank’s analysts may devote more time to advanced-value tasks, such as evaluating automated outcomes and assessing complex loans that were previously too complex to automate, which can improve process precision, decrease operating time per loan, and provide the bank with additional analyst capacity for client support. The present chapter addresses the current challenges faced in the banking industry and provides solutions in the form of use cases, thereby highlighting the importance of RPA and AI in the banking industry.
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Shidaganti, G., Khandelwal, L., Gupta, K., Vaswani, H. (2023). Challenges in Banking and Solving Them Using RPA. In: Bhattacharyya, S., Banerjee, J.S., De, D. (eds) Confluence of Artificial Intelligence and Robotic Process Automation. Smart Innovation, Systems and Technologies, vol 335. Springer, Singapore. https://doi.org/10.1007/978-981-19-8296-5_6
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