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Utilities & Energy

The Proactive Retention Engine

How AI-Driven Outbound Outreach Reduced Subscription Churn by 18% for a High-Growth Utility Provider

The Proactive Retention Engine
📉18%Churn Reduction
📈4xOutreach
💚35%Soft Save Rate
30secResponse Time

The Client: A regional Energy & Utility provider with 500k+ subscribers facing increased competition and rising "Contract End" churn.

The Challenge: The Cost of Silence

The client realized that by the time a customer called to cancel their service, it was usually too late. Their retention team was "fighting fires" instead of preventing them.

Reactive Retention: Agents were only talking to angry customers. The "Save Rate" was a low 20% because the emotional decision to leave had already been made.

The Manual Outreach Gap: It was too expensive to have human agents call every customer whose contract was expiring. 90% of customers simply drifted away without a single touchpoint.

Data Silos: The company had usage data (low engagement) and billing data (late payments), but no way to trigger a phone call based on those "churn signals" in real-time.

The Voxologic Solution: Predictive Outbound AI

We built a "Retention Loop" that connects the client's Data Warehouse to Amazon Connect Outbound Campaigns, powered by a high-empathy GenAI persona.

Signal Detection: We used Amazon SageMaker to identify "Churn Signals" (e.g., a customer hasn't logged into the portal for 60 days + a 15% price increase in their area).

The "Empathetic Outreach" Agent: Instead of a robocall, we deployed a Bedrock-powered Voice Agent using the Amazon Polly Neural Engine for a warm, human-like tone.

The AI doesn't sell, it "checks in." "Hi Sarah, I noticed your plan is up for renewal next month. I've analyzed your last six months of usage and I found a new 'Eco-Saver' tier that could actually lower your bill by $15. Would you like me to walk you through it?"

Real-time Negotiation: The agent was authorized to offer specific discounts or plan upgrades based on the customer's lifetime value (LTV), pulled instantly from Amazon Connect Customer Profiles.

The Results: Saving Customers Before They Leave

The Proactive Retention Engine transformed the contact center from a cost center into a "Revenue Protection" powerhouse:

18% Churn Reduction: By reaching customers 30 days before their contract expired, the AI secured renewals before the competition could even make an offer.

4x Increase in Outreach: The client went from contacting 500 "at-risk" customers a month to 20,000, without hiring a single new agent.

35% "Soft Save" Rate: Even when customers didn't renew immediately, the AI captured valuable "Voice of the Customer" data (why they were thinking of leaving) which was summarized by Contact Lens for the marketing team.

Seamless Human Handoff: If a customer expressed a complex grievance, the AI performed a "Warm Transfer" to a Senior Retention Specialist, passing over a full summary of the conversation so the human didn't have to ask the customer to repeat themselves.

"We used to wait for the phone to ring so we could beg customers to stay. Now, Voxologic has us talking to them while they're still happy, offering them deals they didn't even know they needed. It's the most effective retention tool we've ever seen." — Head of Customer Loyalty

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