Napier Transaction Monitoring is a powerful solution that provides a systematic, intelligent review of an organisation’s transactions. It is simple to deploy and is designed to be used by non-technical business users.
Built on big data architecture, it can handle hundreds of millions of transactions with ease and enables businesses to rapidly strengthen their AML and CTF defences.
The advanced rule-builder improves overall risk management capabilities as transaction monitoring rules can be adjusted to each client’s risk level in accordance with the organisation’s risk policies.
Organisations can test new rules on production data in the integrated sandbox before going live, with zero impact on day-to-day operations.
The build, test and deploy capability gives organisations greater control to calibrate rules in response to changing criminal behaviours and evolving regulations thereby reducing volumes of unnecessary alerts.
By using AI Insights organisations can detect unusual patterns in transactions that would not typically be flagged by standard rules, helping to reduce false negatives and spot truly suspicious behaviours.
AI Insights are provided in plain language to explain the root cause of the anomaly which allows organizations to escalate or discount investigations rapidly.
The integrated no-code rule-builder and sandbox, the intuitive workflows and case management, the high rates of false positive and negative reduction and the use of explainable AI all deliver increased efficiencies across the board.
Flexible deployment options, modern scalable architecture and increased operational efficiencies all contribute to a lowered total cost of ownership.
Define and build rules
Define and build rules easily with the intuitive interface that requires no coding to minimize false positives and detect anomalous transactions.
Our transaction monitoring system provides a full audit trail on all user- and system- generated actions and automates processes throughout the workflow.
Simulate, test and deploy
Test and iterate new rules easily in Napier’s Sandbox.
The clear interface and drop-down menus make it simple to build rules and scenarios on real data, then test before going live.
As intelligence about suspicious behaviours is gathered, scenarios can be repeatedly tested to create even more effective rules. This flexibility means users can respond nimbly to changing compliance requirements and to changing criminal behaviours.
Enhance your analysis
Use machine learning to enhance transaction monitoring outcomes.
Our transaction monitoring system produces two scores: one from rule-based scenarios; and the other from advanced machine learning algorithms. Compare these scores to understand and prioritise daily workload.
Using a combination of transactions, watchlists and historical customer behaviour our algorithms complement traditional rules-based reviews of customer activity and identify patterns that are difficult to spot amongst high volumes of data.
Manage cases and workflow
Teams can manage cases through a single, self-auditing platform that defines and unifies every step of an investigation.
View only the data that is relevant to a defined workflow with our highly configurable dashboard. With access to a palette of over 80 widgets, users can control and configure what they see to ensure it is relevant and specific to their task.
Napier’s AI Insights for Transaction Monitoring
Our AI Insights engine is the perfect complement to transaction monitoring.
It can look at the customer transactions through a completely independent set of lenses, analyzing billions of transactions across multiple dimensions to detect anomalies.
This would take humans many years to complete alone, at great cost.
Napier’s AI Insights engine is a powerful addition to Napier Transaction Monitoring, delivering operational efficiencies while enriching the system’s ability to detect suspicious activity that indicates potential money laundering, terrorist financing, or other illicit activity more effectively.
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Napier’s Sandbox is an innovative testing environment integrated into Napier’s Transaction Monitoring, Transaction Screening, and Client Screening modules that empowers non-technical users to build, change, and test rules on a copy of existing live data
Use this guide to navigate your way to successful AI implementation.
Discover how AI brings new efficiency and effectiveness to the fight against ever-resourceful criminal efforts and increasingly innovative financial crime typologies
AML Transaction Monitoring./
Looking for more? Visit Napier’s blog to get the latest on industry matters, regulatory concerns, financial crime headlines and how technology is changing the face of Financial Crime Compliance.
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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Book a demo and get critical insight into our unique approach.
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.
AML Transaction Monitoring./
Transaction monitoring is the process of monitoring a customer’s transactions such as transfers, deposits and withdrawals. A transaction monitoring system will seek to identify suspicious behaviour which could indicate money laundering or other financial crime occurring.
Transactions that the monitoring system flag as suspicious need to be investigated to determine whether the alert is a true hit or a false positive. True hits should be filed as a suspicious transaction report (STR)* to alert law enforcement to suspected cases of money laundering or terrorist financing. Ongoing transaction monitoring is a regulatory requirement for the wide range of business sectors that come under money laundering regulations.
Financial crime is an umbrella term which refers to any illicit act by which the perpetrator illegally acquires the property of the victim. There are several categories and multiple scales of financial crime, and both perpetrator and victim can be economies, governments, businesses, or individuals.
With sophisticated methods of criminal behaviour constantly evolving, an organisation’s exposure to fincrime risk has never been higher.