Energy & Utilities

AI-Driven Email Automation for Faster Customer Support

A leading integrated power utility partnered with Ganit to modernize its customer service operations using AI-powered email automation. By introducing intelligent classification, response generation, and CRM integration, the organization significantly reduced response times, improved efficiency, and delivered a more consistent customer experience at scale.

Delivering measurable improvements to customer operations

  • Reduced email response time from days to minutes
  • Significant reduction in cost per customer interaction
  • Majority of queries handled without manual intervention
  • Automated classification, response drafting, and ticket creation
  • Improved consistency and customer satisfaction across interactions

The organization transitioned from manual email handling to an intelligent, automated response system.

Challenge

Industry context

Energy and utility providers manage large volumes of customer interactions, often through email channels. Ensuring timely, accurate, and consistent responses is critical to maintaining service quality and customer trust.

The problem

Customer support workflows were heavily manual and fragmented:

  • Agents manually reviewed and categorized incoming emails
  • Information was gathered across multiple internal systems
  • Responses were drafted individually, leading to inconsistencies
  • Ticket creation in CRM systems required additional manual effort

These inefficiencies resulted in long turnaround times, higher operational costs, and limited scalability.

Our role

Ganit partnered with the client to design and implement an AI-powered email automation system integrated with SAP CRM, enabling end-to-end automation across classification, response generation, and ticket management.

Our approach

Methodology

1. Event-Driven Processing - A scalable pipeline was built to automatically process incoming emails in real time.

2. AI-Based Intent Classification - Advanced language models replaced rule-based systems.

3. Knowledge-Grounded Response Generation - Responses were generated using approved knowledge sources.

4. CRM Integration - Seamless integration with SAP CRM enabled automatic ticket creation.

Enabling consumption

  • Instant classification and routing of incoming emails
  • Automated, context-aware responses aligned with policies
  • End-to-end ticket lifecycle management within CRM
  • Reduced dependency on manual intervention
AI Email Automation Impact

A meaningful transformation

Our impact

The implementation transformed customer service operations into a highly automated and scalable system.

  • Response times reduced drastically
  • Operational costs lowered
  • Improved communication quality
  • Teams focused on high-value work
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