Napier’s Transaction Screening solution is designed with operational efficiencies in mind, our easy-to-use screening configuration builder helps you stay on top of changing sanctions obligations, while the intuitive graphical interface automatically presents intelligence on your customers in a clear visual format, empowering analysts to make better decisions.
Built on big data architecture, our AML screening software can handle 100’s of millions of transactions with ease and enables businesses to rapidly strengthen their AML and CTF defences.
Napier’s Transaction Screening is easy to use and can be deployed rapidly into your compliance environment.
Our software automatically screens transactions in real time against sanctions lists. It provides a full audit trail on all user- and system-generated actions as you progress hits through the workflow.
Our dashboards give compliance team leaders a top-down view of key screening activity.
Team leaders can easily see current screening configurations and view customers that are creating the most hits. The dashboards also provide a graphical view of team activity and workflows - highlighting any issues with backlog, workload, and performance.
The system automatically highlights data for review so analysts can see immediately what needs to be investigated.
Furthermore, analysts can explore all customer and intelligence data on one dashboard, 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 false positives, allowing analysts to focus on real alerts. Napier’s Transaction Screening matching engine boasts robust cross-language support and a 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.
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 reduce false positives further by up to 40%, further enhancing the up to 80% reduction we traditionally see with our screening solutions.
In Napier’s Transaction Screening sandbox analysts can fine-tune screening configurations based on results from actual data, before committing changes to the live environment. This enables analysts to understand the impact any changes will have and offers direct comparison with the current configuration.
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Designed to be used with Napier’s Transaction Monitoring and Screening solutions, the Regulatory Reporting Manager helps compliance teams collate necessary data to build and submit high quality suspicious activity reports to the relevant enforcement agency securely and on time.
Napier’s Regulatory Reporting Manager can help reduce the time involved in compiling suspicious transaction reports, with encrypted form-building providing complete assurance against tipping-off, and auto-collation accelerating the process.
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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.
Facilitates faster, safer filing of STRs with data collation, automatic form completion, robust data security, and auto report submission. Fully compliant with global regulatory requirements, its benefits will transform any compliance function.
Book a demo and get critical insight into our unique approach,
approved by world leaders in risk management.