Transaction Monitoring Systems
Napier’s Transaction Monitoring is simple to deploy and easy to operate. It improves efficiency and helps organisations meet regulatory requirements. Users define scenarios in an intuitive interface that requires no complex coding. The system identifies high-risk transactions and provides a full audit trail on all user- and system-generated actions. Flexible and capable, it can handle up to 100 million transactions with ease.
Introducing machine learning
Once users install the solution, they have an option to add an intelligent machinelearning layer that offers deeper insights, reduces false positives and renders the whole process more efficient. Using a combination of data sources from transactions, watchlists and historical customer behaviour analysis, our algorithms complement traditional rules-based reviews of customer activity and search for patterns that are difficult to spot amongst high volumes of data.
Define, test and deploy rules
Build and define rules with no-code approach via our integrated sandbox. The intuitive drop-down interface allows users to build and test rules on real data, before putting them into production. As intelligence about suspicious behaviours grows, build these into scenarios to create more effective rules. The flexibility means users can continually improve transaction monitoring processes to align with policy and reduce false positives.
Configure dashboards for efficiency
Monitor highly relevant data via workflow, tasks and the configurable dashboards. With access to a palette of over 20 widgets, control the display of the most crucial insights. Automatically review customer behaviour*
A single transaction lacking a customer’s context is often meaningless. A customer’s behaviour in relation to onboarding information, gives more insight into early signs of potentially suspicious behaviour. In Napier’s Transaction Monitoring, use Client Activity Review to compare the customer’s behaviour to past behaviour and create alerts to any changes. This enables users to measure risk effectively and detect potentially suspicious customer behaviour efficiently
• Big data platform
• No-code rule building and integrated sandbox
• Intelligent Analysis
• Highly configurable and user-friendly ‘no code’ rules testing environment
• Rapid and flexible deployment, hosted or on-prem
• Workflow and case management automation
• Modern, scalable architecture
• Dynamic AI-powered analytics and risk scoring