The Role of Artificial Intelligence in Enhancing Operational Efficiency in Islamic Banks: A Theoretical and Analytical Study

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Ismael Mohammad Bani Essa, Ezeldeen Mohammad AbuDayah, Zain Ahmad Almaaitah, Anwar Safi AlKhasawneh, Anoud Mohamad Alalawneh

Abstract

This study explores the role of Artificial Intelligence (AI) in enhancing operational efficiency within Islamic banks, focusing on both theoretical underpinnings and analytical perspectives. As Islamic banking continues to grow globally, it faces increasing pressure to improve service delivery, compliance with Shariah principles, and cost-effectiveness. This paper examines how AI technologies—such as machine learning, natural language processing, and robotic process automation—can streamline banking operations, optimize decision-making, and enhance customer service while maintaining adherence to Islamic financial principles. Through a review of existing literature and analysis of emerging trends, the study identifies key areas where AI can create value in Islamic banking, including risk management, fraud detection, and customer engagement. It also addresses the challenges of integrating AI within the ethical and legal framework of  Shariah-compliant finance. The findings highlight AI’s transformative potential in driving operational excellence, improving efficiency, and supporting sustainable growth in Islamic financial institutions.

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