
A leading global bank, serving around 39 million customers across wealth management and retail banking, sought to enhance its digital onboarding while maintaining strong financial crime controls. As part of its digital transformation, the bank needed a solution that balanced seamless client experiences with robust compliance measures. Working with Napier AI, the bank implemented Napier AI Client Screening, leveraging AI-driven fuzzy matching, no-code configuration, flexible workflows, and an intuitive UI to improve efficiency and accuracy.
To compete with fintechs and retain and win new customers in its biggest growth market, China, the bank had to provide smooth customer onboarding experiences and via digitally assisted onboarding in its branch network.It needed to provide an architecture that was more performant and scalable that could deliver reliable real-time screening across the customer lifecycle in support of its growth aspirations. The bank required a solution that could quickly adapt to regulatory changes, minimise false positives, the total cost of ownership (TCO), with an easily configurable platform that empowered teams to make system adjustments in real-time.
Scalable screening for millions of customers
Napier AI Client Screening, as part of the Napier AI Continuum platform, was selected to address the bank’s needs. The result was a highly performant and scalable architecture that would also deliver operational efficiencies via false positive reduction, no-code screening configuration and testing, flexible workflows and an intuitive UI.
Sandbox for extensive configuration testing in a challenging on-premises environment
The solution was chosen for its ability to segregate a single instance into separate business units, meeting complex data privacy and deployment needs while allowing easy configuration through a no-code sandbox. The solution’s ability to be deployed in the private cloud and test at scale in real-time was important for one of the world’s largest banks.
AI ‘fuzzy matching’ for accurate risk detection
Napier AI’s innovative matching engine ensures accurate transliteration, addressing challenges in financial crime compliance caused by non-Latin scripts. Variations in phonetic transcription and alphabet conversion can lead to inconsistencies, such as minor misspellings or missing middle names (e.g., William vs. Billy, Mohammud vs. Muhammad). With Napier’s solution, Chinese names in simplified characters match watchlist entries regardless of whether they appear in traditional or simplified form, or a mix of both. The system also accounts for name order, ensuring accurate matches even when family names are placed differently.
As financial crime tactics evolve, having a more accurate screening solution enables the bank to adapt and respond to new and emerging threats effectively.