Relevance of RPA in Banking & CRM

This journal explores the relevance of Artificial Intelligence (AI) in the field of banking and Customer Relationship Management (CRM). It delves into how AI technologies are reshaping traditional banking operations and enhancing customer experiences and optimizing CRM strategies. In banking, AI is being used to improve customer services, strengthen security, and provide personalized financial services. AI technologies, such as machine learning, natural language processing, and predictive analytics, have revolutionized various aspects of banking operations. These technologies delegates’ banks to automate routine tasks enhance fraud detection capabilities, personalized customer experiences. The study also highlights the challenges and opportunities associated with AI adoption in CRM strategies, so here we are using Robotic Process Automation (RPA) concepts to automate repetitive and rule-based tasks in banking and CRM processes. RPA is reshaping business processes, workforce dynamics, and strategic decision making. Additionally, it discusses key considerations for successful RPA implementations. Ultimately, this paper highlights the importance of understanding and harnessing the power of RPA to drive innovation and competitiveness in the digital age.