Transforming Customer Service with AI-Powered Customer Care Automation for Energy Utilities

Solution Section

Problem Statement: Fragmented Support, Lost Efficiency

A Fortune 100 energy utility company faced mounting challenges in delivering consistent and efficient customer service. Agents were burdened with navigating 5–7 disconnected systems—including CRM, billing, contracts, and customer profiles—during every interaction.
This siloed environment led to:

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Inconsistent customer experiences due to agent knowledge gaps.
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Over 60 seconds per call wasted on “please hold” delays.
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Elevated churn and reduced CSAT.
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Spiraling support costs due to lack of customer care automation services scalability.

Their outdated customer service automation process limited operational agility and led to increased agent fatigue, poor resolution rates, and missed upsell opportunities.

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Business Impact: High Churn, Low CSAT & Lost Revenue

To modernize and accelerate their quoting process, the client implemented JBS’s Energy Sales Quote Automation Platform, powered by Agentic AI and deployed on Google Cloud Platform (GCP).

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8–12 point CSAT drop
linked to first-call resolution failures.
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1.5 FTEs lost
per 10 reps due to inefficient swivel-chair processes.
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$13M+ in missed revenue opportunities
from unrealized upsells and churn.
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Low scalability and prohibitive training/onboarding costs in support operations.
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Solution: Multi-Agent Customer Care Automation Framework Built for Energy

To address these challenges, JBS deployed a proprietary multi-agent customer care automation framework, tailored for the energy and utility sector.
Key Features of the Solution:

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Customer 360 Automation for Energy
Delivered a unified, AI-powered front-end that pulls real-time data from CRM, billing, and usage systems.
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Agentic Customer Service Automation
Specialized sub-agents act as domain experts (e.g., billing, contracts, preferences) that autonomously retrieve and present actionable insights.
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Seamless Workflow Integration
Modular architecture connected directly with internal systems—eliminating “tool hopping” and enabling high-speed, high-accuracy resolution.
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Low Latency, High Control
The system allowed full control over reasoning paths and multi-step actions, enabling deep customization across channels.
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No Vendor Lock-In
The solution runs on the company’s cloud (Google Cloud Platform) with no dependency on third-party orchestration APIs.

Their outdated customer service automation process limited operational agility and led to increased agent fatigue, poor resolution rates, and missed upsell opportunities.

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Business Benefits: Quantifiable Gains from Customer Service Automation

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+3 Point CSAT Increase
Boosted customer satisfaction by reducing wait times and increasing resolution accuracy.
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10% Reduction in Churn
Personalized and proactive support drove improved retention and loyalty.
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$13 Million in Retained & Upsell Revenue
Agents could now identify and act on revenue opportunities in real time.
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60% Faster Customer Response Time
Accelerated case handling improved overall customer experience and reduced operational stress.
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22% Token Optimization & Cost Reduction
Optimized token consumption and introduced modular testing automation to lower cost of operation.
Technology Stack

Technology Stack

UI/UX
Vertex AI
BI Tools
Cloud Functions
Data Services
Cloud Run
UI/UX
BigQuery
BI Tools
Firestore
UI/UX
Cloud Storage
UI/UX
Apigee
UI/UX
Pub/Sub
UI/UX
Workflows
UI/UX
IAM
UI/UX
Cloud Monitoring & Logging

Ready to Revolutionize Your Energy Support Ops?

Empower your teams with customer care automation services built for the energy industry. Whether you aim to boost CSAT, reduce churn, or unlock new revenue streams—JBS has the AI framework to deliver.

Contact our AI Automation Experts to schedule a free consultation.

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