Client Activity
Review./
Transform how you view your customers’ activities and behaviours./
Regulatory supervisors mandate the need for the ongoing customer activity reviews to assess all clients’ activities and behaviours over time.
Fundamental to this is the ability to bring together disparate sets of customer-related data so that there is a ‘single view of the customer’ - not just at a snapshot in time but across the entire customer lifecycle.
Napier AI Client Activity Review efficiently brings together transaction data and customer profile data from Know Your Customer (KYC) onboarding systems into a single easy-to-use platform to measure risk and detect suspicious financial behaviour.
Customer behavioural analytics then give our clients a 360-degree view of every customer and the ability to analyse their behaviour in real-time, with view to identifying new suspicious patterns.
Integrate data from
existing systems
Providing convenience and the assurance of risk mitigation, Napier AI’s Client Activity Review (CAR) doesn’t require the complete re-architecting of a company's data infrastructure.
Full view of your customer activity in a single dashboard
Napier AI’s Client Activity Review is designed to provide a 360-degree picture of the customer.
By drawing on KYC onboarding data, transaction data and client screening data as well as transaction monitoring outcomes, the Client Activity Review allows the analyst to determine whether the client’s observed behaviour is out of line with expected behaviour.
For example, a customer may be on-boarded as low risk but then start to exhibit behaviour more suggestive of nefarious activity once in the system.
Easy to understand
real-time graphical analysis
With CAR, analysts can view real-time graphical representations of a customer’s behaviour over configurable and dynamic periods of time.
The analyst can see anomalies in multiple summaries of the customer’s behaviour, against their previous activity and against their expected behaviour. This allows deep investigations into potentially suspicious activity without having to switch between different views or applications.
By analysing customer behaviour as it happens, any necessary action can be taken when it really matters – and not several months, weeks or even years down the line.
Reviews based on customer behaviour
Client reviews can be scheduled to automatically take place according to the required frequency, whether that be daily, weekly, or monthly.
Reviews can also be triggered as a result of changes in the customer behaviour, not just the risk score.
For example, if the customer’s information changes because they move to a new house or perhaps become a director of a company in a high-risk country, then this could trigger an alert for a review.
Watch our Client Activity Review solution overview video./
Get a quick overview of the Napier AI solution
More from
Client activity Review./
Client Activity Review./
Client Activity Review./
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Get a quick overview of the Napier AI platform
Our solutions./
Transaction Monitoring
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.
Transaction Screening
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.
Client Screening
Screen clients or entities against designated sanction lists while leveraging a machine-learning programme and advanced fuzzy matching algorithms to reduce false positives.
Client Activity
Review
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.
Client Risk
Assessment
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.
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