All AI Agents
Customer Experience

Customer Success Agent

Proactive retention, expansion, and health monitoring

Customer Success Agents proactively monitor account health, predict churn risk, identify expansion opportunities, and orchestrate engagement strategies across the customer lifecycle. They analyse product usage, support interactions, billing patterns, and sentiment to generate real-time health scores and trigger automated interventions.

42%
Churn Reduction
+38%
Expansion Revenue
-55%
Time to Value
+18 pts
NPS Improvement

Core Capabilities

Customer health scoring using product usage, support volume, NPS, billing, and engagement signals
Churn prediction with early warning indicators and automated intervention playbook triggering
Expansion opportunity identification based on usage patterns, feature adoption, and growth signals
Automated QBR preparation with usage analytics, ROI calculations, and success metrics
Onboarding orchestration with milestone tracking, adoption scoring, and time-to-value optimisation
Voice of customer analysis — aggregate feedback from all channels into actionable themes

Use Cases

Health monitoring — real-time visibility into account health across the entire customer base
Churn prevention — identify at-risk accounts early and trigger retention campaigns
Expansion — surface upsell and cross-sell opportunities based on usage and growth patterns
Onboarding — guide new customers to value with automated milestone tracking and nudges
QBR automation — generate comprehensive review packages with usage data and ROI analysis
Advocacy — identify satisfied customers for case studies, references, and review campaigns

How It Works

01

Signal Collection

Data is collected from product analytics, support systems, billing, CRM, NPS surveys, and communication channels to build a 360-degree customer view.

02

Health Scoring

ML models calculate composite health scores from weighted signals, identifying trends, anomalies, and leading indicators of churn or expansion.

03

Playbook Execution

Based on health scores and lifecycle stage, automated playbooks trigger — engagement emails, CSM alerts, feature tours, or executive escalations.

04

Outcome Tracking

Intervention outcomes are tracked and fed back into models. Successful strategies are amplified; ineffective ones are retired or refined.

Technology Stack

Product AnalyticsML ScoringWorkflow EngineNLP SentimentBI

Integrations

GainsightChurnZeroMixpanelAmplitudeSalesforceIntercom
Quality Assurance AgentTrading Agent