Customer Service
Flags customers likely to leave, weeks ahead.
An AI agent that identifies customers at risk of churn from usage drops, support frequency, and sentiment signals, and triggers proactive save actions. Reduces churn by 32%, recovers €500k+ ARR annually.
32 %: Churn reduction through proactive detection and timely intervention · Forrester CX Research 2024
Runs on the Elevon platformData inputs
Risk Scoring Agent
Pattern Recognition Agent
Save Action Agent
Churn Risk Dashboard
01How it works
Signals come in. AI evaluates risk. The team gets an action plan.
The inputs go in, the agents work one after another and you get one output, saved automatically.
- 01
Data inputs
The agent connects to CRM, product analytics, helpdesk, billing, NPS/CSAT, and engagement data. It monitors all behavioural and sentiment signals.
- 02
Risk Scoring Agent
Evaluates signal combinations: login drops, ticket spikes, negative NPS, late payments, reduced feature adoption. Every customer gets a risk score.
- 03
Pattern Recognition Agent
Compares current behaviour against historical churn profiles. Identifies which signal combinations preceded churn in similar customers.
- 04
Save Action Agent
For each at-risk customer, recommends a specific save action: personalised outreach, a special offer, CSM escalation, or a product fix. Automatically triggers the workflow.
02Return
See when it pays off.
Four inputs, one answer: what this work costs today and with the workflow.
Your inputs
Cost: €1,000 implementation + €190 / month platform fee
Result
€77,720saved in year one
150 hours of work back every month · 24.7× return on the first year's cost
Illustrative calculation. Includes €1,000 implementation and €190 / month fee. Agents' share is your assumption. Your numbers in a 30-minute call.
03Every month
What the workflow does every month.
The jobs it keeps doing after the first run, so nobody starts from zero.
Continuous risk scoring
Every customer is continuously evaluated based on a combination of behavioural signals. Risk scores update daily, so there are no surprises.
15 hrs/month
Automatic 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/month
Personalised save actions
The agent recommends a specific intervention for each at-risk customer: from a personalised email to a special offer to a product team escalation.
12 hrs/month
Retention 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/month
04Included and price
What's included
- Elevon agent configured and 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)
One-time implementation
€1,000
One-time. Full configuration + first live run.
Then €190 / month platform fee
Same fee regardless of how many use cases you run.
FAQ
Questions, answered.
Ideally CRM, helpdesk, billing, product analytics, and NPS/CSAT. The agent works with fewer sources too: the more data, the more accurate the prediction.
Typically 4-8 weeks before churn. It depends on data quality and frequency. With daily product data, detection comes earliest.
After calibration on your historical data, the agent achieves 85-90% accuracy in identifying at-risk customers. The model continuously improves.
Yes. With fewer customers, the value of each saved account is even higher. The agent uses deeper analysis instead of pure statistics.
The agent works with whatever data you have. If they're not in CRM, helpdesk and billing data are enough to identify risk patterns.
The agent triggers workflows in your existing system - email, Slack notification, CRM task, or escalation. No need to change existing processes.
05More for Customer Service
More AI Agent Workflows for Customer Service.
Customer Service
Feedback Intelligence Pipeline
The workflow ingests feedback from all channels, triages by urgency, routes critical issues through escalation, and delivers a prioritized Jira-ready action board.
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Customer Service
Customer 360° Briefing
The workflow unifies data from CRM, helpdesk, billing, analytics, and live chat into a single agent-ready briefing with context, history, and recommended next action.
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Customer Service
Subscription Expiry Notification
AI suite analyses engagement & churn risk, determines the optimal renewal strategy, and writes a personalized sales email, ready to send.
Runs on the Elevon platform
Next step
No surprises. No reactive churn. Customers stay because you intervened in time.
The agent detects risk, recommends action, and triggers save workflows - automatically.