Use Cases
Customer onboarding
Leverage the risk engine to automatically risk rate customers during the onboarding process and make real-time decisions on approval.
Process at scale
Create an end-to-end digital process that enables reviews to be processed automatically, with consistent outcomes.
Optimize workload
Define conditions to route work to the right employees or departments, while ensuring SLA targets are met.
Eliminate redundancy
Any process that can be completed by software should be, while human intelligence should focus on analysis.
Retail risk management
Build a comprehensive risk database of all customers and schedule automated periodic reviews to maintain compliance at scale.
Centralize risk information
Ensure all customer risk data for audit and regulatory purposes is in a single place, regardless of the system of record.
Automate reviews
All periodic reviews can be automatically scheduled based on multiple conditions to ensure risk profiles remain up-to-date.
Enforce compliance
Specific review processes must be completed on time and based on the conditions defined within the application.
Corporate/commercial risk
Model and maintain complex corporate/commercial customer risk networks across a wide range of legal structures and jurisdictions.
Manage embedded structures
Score and surface risk within complex corporate structures, including layered beneficial ownership.
Model variable risk
Develop and run custom risk algorithms for different jurisdictions, industries, entity types and more.
Digitize legacy processes
Convert legacy physical and paper based processes, such as requirements for on-site visits, to digital workflows.
Institutional risk assessment
Develop a digitized system for managing institutional risk, including counterparty risk management and embedded regulatory compliance.
Mitigate high risk business
Create specific risk algorithms and processes to manage high risk business lines including correspondent banking and BaaS.
Automate questionnaire review
Take questionnaires which are traditionally reviewed manually and convert them to digital, data driven rules.
Integrate risk areas
Consolidate different areas of risk, such as credit, due diligence and reputation into a single risk profile for each customer.
Risk and compliance CRM
Maintain a single view for all customer risk data, risk history and related compliance information including documentation, beneficial ownership and product behavior.
360 degree view
Create a 360 degree view of customer information for management, regulators, auditors and third parties.
Maintain historical profiles
As customer risk changes, maintain full history and audit trail of previous risk data and decisions.
Leverage live data
As customer information changes, CRM data is updated, regardless of where it is sourced or maintained.
KYC and risk lifecycle compliance
Manage the end-to-end lifecycle associated with all applicable AML and KYC regulations, including customized flows, approvals and internal processes.
Manage complex approvals
Ensure that no matter how complex the approval process, it is enforced at the right time and routed correctly.
Automate legacy processes
Take processes that were traditionally paper based, such as document gathering, and move them to digital.
Model custom business cases
Convert specific business cases, such as specific steps for managing high risk customers, to a digital process.
Organizational risk insights
Gain insights into risk factors across the institution and surface factors driving organizational risk through reporting and visual dashboards.
Visualize data
Use custom dashboards to chart and display data visually related to the composition of risk in the organization.
Surface insights
Identify areas where risk is focused, for example a specific risk factor such as customer jurisdiction.
Drive decisioning
Examine aggregate data to improve decisions and enhance the risk profile of the institution.