SD2.0 uses the latest screening technology and sophisticated algorithms to reduce false positives while detecting real and relevant matches. Having fewer false positives lets you focus on the most important cases and reduce unnecessary, repetitive tasks.
The innovative, integrated Sandbox puts you in control with independent testing and validation. You can configure your own risk-based screening rules, and then test and deploy rapidly. The flexibility means you can continuously iterate in the sandbox, and improve your processes with no impact on daily screening activities.
Identify transactions involving sanctioned entities using the real-time payment screening API, then message your payment system with an appropriate action in real time. When used together with client screening, this joined up approach forms a powerful set of controls.
SD2.0 supports efficient workflow and case management. Real-time data combined with clear graphical displays gives you easy reporting and case management capabilities. Tasks can be managed across multiple individuals and teams to track the status of reviews.
The configurable user dashboard enables you to customise reports so you see only the metrics relevant to your task. SD2.0’s advanced analytics allows you to view reports instantly with its widget-based reporting tool.
Advantage of a joint
Napier has partnered with Refinitiv to provide the latest technological advances in Customer Screening. Napier bring years of technical expertise in predictive analytics, risk intelligence, machine learning and transparent AI.
SD2.0 provides a seamless integration process. The system is subscription-based, ensuring continual software updates throughout its lifetime.
Understand your data and customers with Napier’s secure, sophisticated, real-time analytics. User-definable dashboards let you understand your key metrics instantly.
Dramatically reduce false positives, while still detecting truly suspicious activity, with our machine learning-enabled transaction monitoring system designed to be used by non-technical business users in organisations of all sizes.
Run real-time searches on payment or transactional data against multiple watch and sanctions lists to make rapid decisions about the level of risk associated with payments beneficiaries and originators.
Screen clients or entities against designated sanction lists while leveraging a machine-learning programme and advanced fuzzy matching algorithms to reduce false positives.
Gain additional deeper insights about your customer’s activity with an automated ongoing review of all customer data - including transactions, payments and screening results - against their expected behaviour.
Perform enhanced risk assessments to generate a risk level for each client. Use these levels as part of a risk-based assessment to optimise your screening and monitoring processes.
Screen entities against designated sanctions and watch lists using advanced fuzzy matching algorithms to reduce false positives.
Ingest, enrich and analyse unprecedented quantities of data from multiple sources in real-time at a fraction of the cost (and in a fraction of the time) of legacy systems. Adding insight, whatever the sector.LEARN MORE