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Insurance

Insurance Case Study

How Versicherungskammer Group modernized their call center with Voice AI Agent.

Project Summary

The Versicherungskammer Group, part of the Sparkassen-Finanzgruppe, implemented Voice AI Agent to modernize their call center. The solution reduced call misdirection, improved customer satisfaction, and allowed agents to manage complex requests more efficiently.

Client Details

  • Client: Versicherungskammer Group
  • Industry: Insurance
  • Parent: Sparkassen-Finanzgruppe

Project Overview

  • Focus: Call center modernization
  • Solution: Voice AI Agent
  • Goal: Reduce misdirection & improve satisfaction
40% → 15%

Reduction in misdirected calls

Improved

Customer & employee satisfaction

Challenges
  • High Misdirection Rate: 40% of calls were misdirected.
  • Customer Dissatisfaction: Long wait times from ineffective call steering.
  • Scalability Issues: High costs for handling calls manually.
Solutions
  • Automated Call Routing: High-precision intent recognition guided calls to the correct departments.
  • Real-Time Summaries: Agents received conversation summaries to improve response quality.
  • Natural Language Processing: Enhanced accuracy in interpreting customer needs.
Implementation Process
1

Phase 1: Discovery & Analysis

Analyzed existing IVR systems and identified areas for AI impact.

2

Phase 2: Development & Integration

Customized the AI to align with Versicherungskammer's specific categories.

3

Phase 3: Testing & Optimization

Validated accuracy and optimized the system based on early user feedback.

4

Phase 4: Launch & Support

Provided continuous support and optimization post-launch.

Key Takeaways
  • Improved Call Routing: Intent recognition drastically reduced call misdirection.
  • Enhanced Customer Experience: Reduced wait times and improved satisfaction.
  • Operational Efficiency: Streamlined resource use for complex queries.

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