Case Study: a global asset management firm saves millions with CGI's AI-driven anomaly detection

Global Asset Management Firm saves millions per year with CGI's AI-driven onboarding

A global asset management firm faced significant challenges with its customer onboarding process, which relied on a rigid, rules-based system for anomaly detection. This approach failed to detect new types of errors, leading to manual rework, customer churn, and financial risk. To address this, the firm partnered with vendor CGI to implement an AI-driven solution.

CGI delivered a machine-learning solution that analyzes metadata across the entire onboarding lifecycle to predict and detect a wide range of errors, including previously unknown anomalies. This AI-driven approach from CGI transformed the onboarding journey, saving the firm millions of dollars per year, reducing customer churn, and improving overall data quality and reliability.