Sarcouncil Journal of Engineering and Computer Sciences

Abstract: This article explores AI-powered hyper automation in financial services, examining its transformative impact across key operational domains. Beginning with an introduction to hyper automation's evolution in financial institutions, the discussion progresses through the technological foundations that enable these advanced systems including machine learning, natural language processing, and computer vision capabilities. The examination continues with an in-depth analysis of identity management transformations, particularly in biometric authentication, KYC processes, and risk scoring models. The article further investigates advanced fraud detection applications utilizing behavioral analytics and anomaly detection, alongside the revolution in customer service through AI-assisted and fully automated approaches. Implementation challenges are addressed, including regulatory compliance requirements, change management strategies, and ethical considerations for AI-driven financial decisions. Throughout, the article provides practical insights through comparative tables illustrating the evolution of automation technologies, core AI capabilities, identity verification approaches, and ROI measurement frameworks. The discussion culminates with an exploration of emerging trends and future directions for hyper automation in financial services.