A simple solution for your customer screening requirements./
Napier’s Client Screening solution helps financial institutions fulfil compliance obligations with on-going large-scale customer screening and re-screening capabilities to give significant operational efficiencies.
Our customer screening solution was developed to address the need for a simple, cost effective screening solution which can scale with a business's policy requirements.
Napier’s Client Screening combines best-in-class technology with a modern intuitive graphical interface that allows you to review cases and intelligence data in detail and easily manage workflows.
The Napier Client Screening system is easy to deploy and operate, it can automatically screen clients at relevant intervals against sanctions, PEP and other watchlists.
The system provides a full audit trail on all user- and system-generated actions and automates processes throughout the workflow.
Napier’s Client Screening Command Centre gives compliance team leaders a top-down view of key screening activity and team workflow progress on a single dashboard.
Team leaders can easily see current screening configurations and history; and view customers that are creating the most alerts.
The Command Centre also provides a graphical view of team activity and workflows - highlighting any issues with backlog, workload and performance.
The Intelligence Data Explorer makes relevant intelligence data consumable and quickly accessible to team members.
A graphical timeline allows users to view a customer’s history quickly to make informed decisions about their matching and resolution history.
The system automatically highlights data for review so analysts can see at a glance what needs to be investigated.
Furthermore, analysts can explore all customer and intelligence data in a single page, removing the need to switch between windows or systems.
Bulk operations and keyboard shortcuts make workflows easier to manage by shortening the time it takes to conduct a review.
Natural language processing and advanced matching algorithms reduce volumes of false positives sharply, enabling analysts to focus on real alerts.
Napier’s Client Screening matching engine boasts robust cross-language support and linguistic knowledge matching capability to support 18 languages including simplified Chinese and Arabic.
The system automatically suggests matches on entities that would have previously been missed due to localisation, nicknames and synonyms, improving the alert rate.
Napier’s Client Screening Sandbox allows users to fine-tune screening configurations based on results from actual data, before committing changes to the live environment.
This allows our clients to understand the impact any changes will have and offers direct comparison with the current configuration.
Powered by artificial intelligence, AI Advisor helps analysts review alerts faster by identifying false positives in client screening. Using artificial intelligence to analyse screening matches and determine whether the match can be discounted or requires further review, AI Advisor supports manual decision making and a rule-based approach.
AI Advisor provides an explanation which helps the user to understand the key factors that were influential in its decision. This ensures users can quickly understand why an alert has been created and what is unusual about it, enabling them to make an informed decision on the quality of the match.
The additional insights from AI Advisor which analyse multiple additional variables over and above the rules criteria help to further reduce false positives by up to 40%, enhancing the up to 80% reduction we traditionally see with our screening solutions.
Sanctions lists can evolve on a daily basis, and one list update can involve dozens or even hundreds of changes.
With Napier Client Screening, list updates are fully managed, including quality checks.
Users can select which lists they want applied to their screening. In addition to public sanctions lists, users can maintain their own private lists and individual whitelists can be created to reduce the volume of alerts received.
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