Client Health Intelligence & Churn Prevention System
The Challenge
FinBridge Solutions, a Banking-as-a-Service provider serving 47 UK building society clients, lost 4.6 million in annual revenue over 18 months due to undetected churn signals.
Critical client health data was scattered across 11 disparate systems (Temenos T24, Salesforce, ServiceNow, etc.) with no unified early warning system.
Account managers were spending 60% of their time on manual research vs. client engagement, leading to a reactive crisis management approach.
The Solution
I designed an AI-powered predictive analytics platform to consolidate all client touchpoints into a single early warning system. The system features a 47-metric health scoring algorithm across 6 key client dimensions, real-time data integration using Apache Kafka, and automated alert workflows for account managers.
Key Architecture Components
Full Case Study
Download the detailed PDF report including architecture diagrams and full data.
Download PDFBusiness Impact
- 2.5M annual revenue preserved (50% prevention of historical churn)
- 420% ROI over 24 months with a 4-6 week payback period
- 85% churn prediction accuracy at a 6-month horizon
- 10x improvement in early warning capability