Leveraging the bank’s cloud data platform, we developed a compelling use case to implement a cloud-first continuous monitoring system. This system integrated an algorithm engine, powered by machine learning and AI, to match data accurately and minimise false positives and negatives. The system was fine-tuned with input from business domain experts and bankers, ensuring alignment with business logic and regulatory standards. This approach enabled near real-time monitoring of collateral issues and allowed for quicker identification and resolution of problems before they became critical.