RPA supports intelligent and intuitive processes to optimize day-to-day banking activities. Banks can eliminate manual processes and transform their back-office operations with RPA to deliver a touchless experience. Customers can access their bank accounts from the safety of their homes and employees can seamlessly address customer requests while working remotely.
Banks can enable anytime, anywhere operations by implementinga cloud-based RPA solution. Customers haveomnichannel access to all their banking needs with the click of a button, making lives easier for customers and bankers alike. Furthermore, cloud-based RPA solutions can reduce server maintenance and hardware costs.
The modern banker needs to shift a customer’s entire loan lifecycle online. RPA allows customers to utilize web and mobile-based portalsto upload documents for identity verification, loan request initiation, and real-time status monitoring.
Using chatbots and social sensing tools, banks can quickly respond to customer queries online and manage social interactions. This can minimize the need for customers to visit a physical branch, ensuring the safety of both customers and employees, especially during these times of social distancing. RPA can also optimize a bank’s contact center operations by analyzing their customer database and dynamically routing calls based on their past interactions.
Repetitive tasks can become tedious for employees, and with pandemic-induced stress, such tasks are more prone to errors. RPA can automate end-to-end banking processes to deliver first time right results. Furthermore, banks can leverage intelligent bots to carry out ruled-based tasks for reducing errors and increasing the process accuracy.
Banks can simplify their data-intensive processes, including KYC, risk assessment, and anti-money laundering initiatives, by automating mundane, manual processes for improved accuracy and faster turnaround time. RPA makes it easier for banks to be compliant and follow strict guidelines by digitizing processes.
RPA, supported by artificial intelligence and machine learning, can detect fraud more efficiently based on a customer’s past transactions. It can sense suspicious activity, generate email notifications, and push messages right away, thereby safeguarding customers’ data and assets.
RPA, supported by artificial intelligence and machine learning, can detect fraud more efficiently based on a customer’s past transactions. It can sense suspicious activity, generate email notifications, and push messages right away, thereby safeguarding customers’ data and assets.
RPA has emerged as a critical requirement for banks to optimize their processes, reduce their operational costs, and help them deliver exceptional customer experience. With the growing need for RPA, hyper-automation is also emerging as an important trend as it combines RPA with intelligent process automation and artificial intelligence and helps in delivering a superior customer experience. Banks need to hyper automate to adapt to the rapidly changing business requirements and not just survive but thrive in the digital-only world.
Credit: Ritesh Varma, Newgen Software
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