Value Stream:
‍Engage

Deepen client relationships through data-driven personalization, timely insights, and proactive retention intelligence.

Overview

Client engagement defines long-term value.
Centric helps advisors anticipate client needs, deliver tailored insights, and act on early churn signals, transforming engagement into loyalty and growth.

Key Statistics

Up to 70% of churn occurs within 90 days — McKinsey CX Study

Predictive engagement reduces retention spend by 20–40% — Bain Customer Economics Report

Personalized outreach boosts campaign conversion by 3× — Deloitte Banking CX Index

Firms using AI-driven next-best-action models achieve 2× engagement lift — Accenture Relationship Intelligence Report

Current State / Pain Points
Triggers for Urgency
Future State with AI

Static engagement journeys ignore behavioral context.

Advisors lack predictive insight into client satisfaction or risk.

Disconnected systems make personalization difficult.

Teams spot attrition or pricing gaps only after revenue impact.

Early churn from under-engaged new clients.

Competitive switching incentives from digital challengers.

Limited RM bandwidth for proactive communication.

High re-engagement costs versus retention.

Sentiment & Interaction Analysis

Detect tone and engagement signals.

Churn Risk Prediction

Identify clients likely to disengage.

Next-Best-Action Logic

Recommend offers or outreach actions.

Personalized Reporting

Deliver insights tailored to goals and preferences.

Top AI Workflows (Centric-Powered)​

Lead Scoring​

Predicts conversion likelihood and risk based on behavioral and source data.​

Smart Offer Match

Dynamically assigns best-fit product (e.g., checking vs. loan vs. insurance) based on inferred intent.​

Engagement Risk Detector​

Identifies drop-off patterns to trigger re-engagement or simplified paths.​

Bot + Synthetic Detection

Flags fraud signals using device ID, form fill velocity, and data inconsistencies.​

Channel Source Optimizer​

Identifies which acquisition sources generate the best customers.​

Auto Qualification & Routing​

Filters and routes leads based on eligibility or intent signals.​

Pre-KYC Fraud Flagging​

Flags high-risk leads before triggering costly identity/KYC checks.​

High-Churn Risk Identifier (Early)​

Predicts risk of disengagement in the first 7–14 days to trigger save actions.​

Application Abandonment Predictor​

Predicts which users will drop off mid-application and when to intervene.​

Underserved Applicant Identifier​

Uses alternative signals to qualify thin-file or unbanked customers.​