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PERPETUAL CLIENT RISK ASSESSMENT
Achieve a holistic, dynamic and accurate view of material customer risk.
With pCRA, the complex undertaking of defining and reviewing multiple variables in screening and monitoring that affect a customer’s risk level becomes simple and automated. Accessible as a module within Napier AI Continuum, pCRA enables the most sophisticated, automated, ongoing review of the countless factors that could potentially change the risk that a customer poses.
‘Always-listening' risk assessment
The easy-to-configure, intuitive UI allows organisations to define and test complex CRA rules across multiple geographies, clients, or business units to drive consistent and ongoing risk assessments. pCRA enables an ‘always-on’ risk assessment, ingesting real time information from any risk event such as screening, monitoring or KYC, providing a full 360 degree snapshot of the client and their risk.
Where activity, transactions or other risk events fall outside the expected behaviours of a customer, pCRA enables automatic application of screening and monitoring rules as defined by the organisation’s risk policies in response. pCRA also goes one step further to automatically discount risks and resolve alerts, with AI-powered explanations, freeing up analyst’s time.
Features./
Detail
Enhance any existing system
(p)CRA can ingest any risk event within an organisation, including events identified in onboarding, AML, fraud, and CRM systems. Designed for teams that need to manage a combination of new, legacy, and third-party applications, (p)CRA sits as a frictionless augmentation layer on top and can be configured to set workflows in motion across multiple systems and process boundaries.
With full STP and auditability it is now easy to incorporate and improve compliance with regulatory requirements.
Enterprise wide CRA
The flexibility of the solution allows organisations to design and load numerous risk score cards to assess risk across multiple areas such as geographies, business functions, and client types.
Risk levels generated by (p)CRA are unique to an organisation’s risk appetite, customers, products, and geographies served, and how these are labelled will vary from organisation to organisation.
Define, build and test risk events
(p)CRA has an integrated no-code environment that allows users to define and build ‘risk events’ from any related financial crime monitoring activity such as screening, transaction monitoring, KYC or fraud.
By building these risk parameters in line with organisational risk policies and regulations, and across every permutation of risk event, organisations enable real-time monitoring of the client to gain a holistic view of client behaviour.
Before going live with new risk parameters, users can test and tune these in the integrated sandbox against a copy of production data to derive optimal risk assessment and alerting thresholds.
High levels of automation
Napier AI’s intelligent approach facilitates automatic resolution of alerts by comparing the alert against all risk factors and events across the entire client profile and that of peers to discount the risk.
This reduces volumes of alerts to be manually investigated – improving productivity and boosting efficiency.
Remove time-intensive manual tasks by calibrating (p)CRA to automatically apply screening and monitoring rules for further investigation as risk thresholds are met.
Supports pKYC
(p)CRA delivers a more complete dynamic understanding of risk that enables comprehensive pKYC. Often the definition of pKYC can be too narrow – looking only at those events that occur during onboarding or as part of updating KYC information.
By assessing more factors than KYC data only, (p)CRA provides a complete, real-time risk score based on client behaviour across the full lifecycle.
Dynamic alert investigation
Napier AI’s state-of-the-art UI helps users to investigate real time risk events with all data in one dashboard.
This reduces time spent searching for data in other systems and increases the speed with which alerts can be resolved or pushed forward for further investigation.
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