Multi- Agentic AI Drives 80% Drop in Manual Email Volume

Manufacturing, Customer Support, Agentic AI

Background

A global leader in specialty materials and industrial solutions was facing growing inefficiencies in managing high volumes of customer service emails. Disparate legacy systems, non-standardized responses, and a heavy manual workload led to slow query resolution and inconsistent customer experiences across business units.

Impact

  • 80% reduction in manual email processing time
  • ~65% faster average ticket resolution
  • 30–35% improvement in response accuracy and standardization
  • Up to 40% increase in customer satisfaction (CSAT) across pilot regions
  • 15–20% decrease in overall customer service operations cost

Solution

Affine built an Agentic AI platform to automate email-based customer service with minimal human intervention. The solution featured:

  • An automated email pipeline for ingestion, validation, content extraction, and response generation
  • A multi-agent architecture for document insights and structured data retrieval
  • A smart response builder that combined customer details, order status, and return information into a single, coherent reply
  • A responsible AI layer ensuring secure routing, escalation handling, and compliance adherence
  • Plug-and-play integration with SAP, Salesforce, and SQL-based systems
  • Personalized, context-aware responses powered by sentiment analysis and customer history tracking

Impact

  • 80% reduction in manual email processing time
  • ~65% faster average ticket resolution
  • 30–35% improvement in response accuracy and standardization
  • Up to 40% increase in customer satisfaction (CSAT) across pilot regions
  • 15–20% decrease in overall customer service operations cost
Recommended Case Studies

Talk to the experts!