The world leader in low-code automation
One of Europe’s fastest-growing Fintechs
The current, highly manual and static approach to managing KYC, which has been adopted by many financial institutions, results in numerous challenges.
Reliance on a single snapshot
KYC reviews collect static, time-limited data, reducing what you know about a customer to a specific snapshot in time, resulting in missed risk between KYC reviews.
Highly manual processes run up huge costs
Manual onboarding, refresh and remediation processes require big teams, driving up the cost of compliance and resulting in poor customer experience.
AML investigations
KYC regulations increasingly require you to understand even more about your customers and the context in which they operate. Current approaches provide real data access challenges, as data is paper based.
Our approach reduces operational cost whilst improving control
- The move to risk-based scoring and prioritisation reduces the need for routine reviews of customers
- Remove the non-value-add reviews whilst putting extra focus on high-risk areas and reducing the overall effort
- Streamline operations with automatically populated data from public sources rather than time spent re-keying
- Achieve quick return-on-investment cases through rapid roll-out of the automation and risk-based capability
Connect your data to create a single customer view
Connect internal and external data sources—like KYC profiles, corporate registry data and transactions—to create a single customer view and understand a customer’s risk, even before onboarding.
Highlight new or changing risk levels
Use dynamic network generation to automatically highlight emerging or changing risks associated with your customer, then reassess the customer risk score in real-time.
Reflect and continuously monitor changes in your CLM
Update your customer’s KYC record in your CLM or KYC system automatically, to reflect changes in their information and risk profile. Move away from periodic reviews with continuous monitoring.