Applying AI to the back-office operations of an international bank

This study examines the application of Artificial Intelligence (AI) in the back-office operations of GEMBA Bank (fictitious name), an international corporate bank in Thailand, to address inefficiencies and enhance operational effectiveness. Focused on the Compliance Department, particularly in Anti-Money Laundering (AML) Transaction Monitoring, the research identifies key challenges such as reliance on manual processes, limited technological tools, and data-handling inefficiencies. Drawing insights from peer banks' AI adoption cases and qualitative interviews with compliance executive and specialist, this study explores AI-driven solutions, including machine learning, natural language processing, and robotic process automation. The findings underline the transformative potential of AI in improving compliance efficiency, reducing operational risks, and strengthening regulatory adherence. Recommendations include transitioning to cloud-based AI platforms, implementing scalable pilot programs, and prioritizing staff training to ensure effective AI integration. This study provides actionable strategies for GEMBA Bank to leverage AI for back office optimization, fostering long-term competitiveness and innovation in the Banking 4.0 era.