Exploring Artificial Intelligence Adoption in the Banking Sector: Multiple Case Studies

We currently inhabit an era dominated by intelligent machines, where AI has seamlessly integrated into our daily lives, manifesting its impact in both subtle and conspicuous ways. In the banking sector, AI is being harnessed to execute transactions, identify potential security threats using facial recognition technologies—as outlined by the Harvard journal in 2016—combat fraudulent activities, enhance customer responses, provide personalized customer service, and enable virtual assistants to deliver real-time solutions. Moreover, AI facilitates digital documentation, problem-solving, planning, reasoning, and learning within the banking industry which leads to achieve sustainable increase in profits and value in this new era. It is important once adopt AI is to create an AI framework, design a targeted application approach, implement and construction and supervise and refine. The research addresses the AI adoption in banks, knows the bank redness of the AI implementation, enables to develop, and implement AI in its business model which shall happen after developing its organizational change and its efficiency to achieve completive advantages.