Parametric estimation plays a pivotal role in modeling reliability and survival data under complex censoring schemes. This study focuses on the estimation of parameters in flexible Weibull extension models when facing progressive Type-II censoring. The flexible Weibull extension is a versatile distribution capable of capturing a wide range of failure patterns. We propose an estimation method that harnesses the power of maximum likelihood estimation in conjunction with progressive Type-II censoring. Simulated and real-world data are employed to evaluate the method's performance, demonstrating its effectiveness in accurately estimating the parameters of the flexible Weibull extension model under this challenging censoring scenario.

Financial institutions face increasing regulatory complexity and compliance costs, necessitating a shift from traditional periodic auditing to intelligent, continuous control monitoring. This paper proposes a comprehensive framework that transforms compliance from a reactive, cost-center function into a proactive, intelligence-driven strategic asset. Through a mixed-methods approach combining systematic literature review, framework development, and practical case analysis, we synthesize insights from scholarly resources in tandem with the research goal. The proposed five-layer architecture integrates emerging technologies, including artificial intelligence, blockchain, and RegTech platforms, to enable real-time monitoring, predictive risk assessment, and automated regulatory reporting. Our framework addresses critical gaps in existing models by providing a holistic, scalable approach with clear implementation pathways. Findings demonstrate that institutions adopting continuous control monitoring achieve significant operational efficiencies, enhanced risk management capabilities, and strategic intelligence generation. This research contributes to RegTech literature while offering practical guidance for financial institutions, regulators, and technology vendors navigating the compliance transformation journey.