Client Lifecycle Management (CLM) Implementation for banks
Case Study
Our Client Our client is a European bank, one of the TOP 100 banks in the world, serving 200,000 corporate and retail clients, faced a number of difficulties in managing Client Lifecycle Management (CLM). |
Long-term and inefficient customer onboarding process
Lack of a Customer Due Diligence (CDD) in all business segments, whether corporate, retail or investment banking
Data Lifecycle Management challenges. Customer data was not reused throughout its bank lifecycle, which led to repeated requests
A large amount of manual paperwork and inefficient organization of business processes led to a loss of customer loyalty and fines for non-compliance with all legal requirements
Outdated CLM system and difficulties with the implementation of new business functionality.
User-unfriendly interface
The Client decided to implement a fundamentally new system and chose the Pega platform and its Client Lifecycle Management (CLM) framework to implement the tasks
Implementation of the core CLM functions
WorldCheck Customer Verification Process
WorldCheck is a Global Database of Politically Exposed Persons (PEP), as well as individuals and organizations at increased risk. The database is used worldwide to identify and manage financial, regulatory and reputational risks.
Bureau van Dijk Integration
Bureau van Dijk specializes in private company data, corporate structure and ownership including beneficial owners, M&A data and financial metrics.
Implementation of a customer verification system based on the company’s own blacklist. The old system did not support this functionality.
Setting up model risks (OR model risk management (MRM) framework) so that they cooperate with data from both external and internal systems, and also take into account client's country of origin.
Our team began implementing the project in May 2020, starting with studying the Client's business requirements and piloting the Pega Client Lifecycle Management (CLM) solution.
In June 2020, the development of the targeted solution began. The work on the project was carried out according to the Scrum methodology.
Results
Reduces customer onboarding time by systematizing the process of working with questionnaires and submitted documents. The onboarding time was reduced to 2 minutes.
Allows the Client to quickly and efficiently collect the necessary customer information from various sources and provides a report to the bank employee.
Analyzes the risks of cooperation with each client thanks to the built-in Model Risk. Risk scoring includes more than 20 indicators and allows the Client to select a list of customers who require more frequent verification.
Monitors the regularity of customer inspections in accordance with the norms of legislation and internal banking processes.
Enables seamless automated offboarding in case of termination of cooperation.