Elevon in ForbesA customer leaves. You find out from the cancellation notice. AI identifies churn risk weeks before it happens.
AI agent that identifies customers at risk of churn from usage drops, support frequency, and sentiment signals - triggers proactive save actions. Reduces churn by 32%, recovers €500k+ ARR annually.
32%
Churn reduction through proactive detection and timely intervention
Forrester CX Research 2024500k€
ARR recovered annually through automatic save actions
McKinsey Customer Analytics 20243.8×
Higher retention campaign success with AI prediction vs. manual selection
Gartner Customer Service 2024Does this sound familiar?
Churn is discovered when it's too late
A customer cancels and the team learns from an email. No warning signs, no chance to react. Every lost customer is 12-24 months of revenue gone.
Forrester 2024Customer behavior data sits in silos
Usage drops are in the product system. Ticket spikes in the helpdesk. Negative sentiment in NPS. Nobody sees them together. Correlation between signals doesn't exist.
McKinsey 2024Save actions are reactive and late
When the team tries to save a customer, they've already decided. A last-minute discount offer feels desperate. A proactive intervention 4-6 weeks earlier has 3× higher success.
Gartner 2024How the agent works
Signals come in. AI evaluates risk. The team gets an action plan.
Data Inputs
The agent connects to CRM, product analytics, helpdesk, billing, NPS/CSAT, and engagement data. It monitors all behavioral and sentiment signals.
Risk Scoring Agent
Evaluates signal combinations - login drops, ticket spikes, negative NPS, late payments, reduced feature adoption. Every customer gets a risk score.
Pattern Recognition Agent
Compares current behavior against historical churn profiles. Identifies which signal combinations preceded churn in similar customers.
Save Action Agent
For each at-risk customer, recommends a specific save action - personalized outreach, special offer, CSM escalation, or product fix. Automatically triggers the workflow.
Churn Risk Dashboard
A prioritized list of at-risk customers with risk scores, key signals, and recommended save actions - ready for immediate action.
Sample Output
How much work does this replace
How many hours does your team spend manually monitoring customer retention each month?
Value of replaced work / month
€1,350 / mo.
Pricing
€190 / mo.
The platform fee is €190 per month. Compare it against the value of work the agent takes over.
Net benefit after deducting the fee / mo.
€1,160
What the agent does on an ongoing basis
Continuous risk scoring
Every customer is continuously evaluated based on a combination of behavioral signals. Risk scores update daily - no surprises.
15 hrs/monthAutomatic early warning alerts
When a customer crosses the risk threshold, the responsible CSM gets a notification with context and a recommended action. Weeks before potential churn.
10 hrs/monthPersonalized save actions
The agent recommends a specific intervention for each at-risk customer - from a personalized email to a special offer to a product team escalation.
12 hrs/monthRetention reporting & analysis
Automatic reports on save action success rates, churn trends, and future churn prediction. The CSM team knows what works and what needs to change.
8 hrs/monthSetup & Pricing
What's included
- Elevon agent configured & imported
- CRM, helpdesk, and billing connection
- Product analytics integration
- NPS/CSAT and engagement data linking
- Risk scoring model calibrated on your data
- Save action workflow configuration
- Demo run with live data
- Team walkthrough (1h)
Churn Risk Detector Setup
€1000
One-time. Full configuration + first live run.
Frequently Asked Questions
No surprises. No reactive churn. Customers stay because you intervened in time.
The agent detects risk, recommends action, and triggers save workflows - automatically.
Learn moreRisk scoring · Early warning alerts · Save actions · Retention reporting
Next step
Want to try it?
Describe how you monitor churn risk today. We'll propose the setup.