Regulatory Technology (RegTech) innovations are reshaping the landscape of compliance within the financial sector, presenting opportunities for institutions to enhance efficiency and reduce operational costs. This paper examines the impact of RegTech solutions by focusing on their capacity to streamline compliance processes and mitigate expenses associated with regulatory adherence. Through a qualitative research methodology that includes case studies and expert interviews, the study explores the various dimensions of RegTech applications, ranging from identity verification and risk management to fraud prevention and regulatory reporting. Key findings indicate that RegTech tools leverage advanced technologies such as artificial intelligence, machine learning, and blockchain to automate complex compliance tasks, thereby reducing the need for manual intervention and minimizing human error. These technologies facilitate real-time monitoring and analysis of transactions, which enhances compliance accuracy and operational efficiency. Furthermore, the paper reveals that the adoption of RegTech solutions significantly lowers compliance costs by optimizing resource allocation and reducing the time and labor traditionally required for compliance-related activities. The study concludes that RegTech innovations hold the potential to transform the financial sector's approach to compliance management. By embracing these technologies, financial institutions can not only ensure regulatory compliance more effectively but also achieve considerable cost savings. The paper calls for further research into the long-term impacts of RegTech adoption on the financial industry's regulatory landscape and suggests that regulatory bodies and financial institutions collaborate to foster an environment conducive to RegTech innovation and implementation.
CITATION STYLE
Olufunke Olawale, Funmilayo Aribidesi Ajayi, Chioma Ann Udeh, & Opeyemi Abayomi Odejide. (2024). RegTech innovations streamlining compliance, reducing costs in the financial sector. GSC Advanced Research and Reviews, 19(1), 114–131. https://doi.org/10.30574/gscarr.2024.19.1.0146
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