Case Studies

Insurance

Insurance

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: Versicherungskammer Group
Industry: Insurance
Results: 40% reduction in misdirected calls, increased operational efficiency, enhanced customer and employee experience

Challenges & Solutions

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.


Process

  • Phase 1: Discovery & Analysis
    Analyzed existing IVR systems and identified areas for AI impact.

  • Phase 2: Development & Integration
    Customized the AI to align with Versicherungskammer’s specific categories.

  • Phase 3: Testing & Optimization
    Validated accuracy and optimized the system based on early user feedback.

  • Phase 4: Launch & Support
    Provided continuous support and optimization post-launch


Results


Quantitative Results:

  • Misdirected calls decreased from 40% to 15%.

  • Lower operating costs and improved call center metrics.


Qualitative Results:

  • Higher customer and employee satisfaction, with reduced wait times and better-prepared agents.


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.



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: Versicherungskammer Group
Industry: Insurance
Results: 40% reduction in misdirected calls, increased operational efficiency, enhanced customer and employee experience

Challenges & Solutions

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.


Process

  • Phase 1: Discovery & Analysis
    Analyzed existing IVR systems and identified areas for AI impact.

  • Phase 2: Development & Integration
    Customized the AI to align with Versicherungskammer’s specific categories.

  • Phase 3: Testing & Optimization
    Validated accuracy and optimized the system based on early user feedback.

  • Phase 4: Launch & Support
    Provided continuous support and optimization post-launch


Results


Quantitative Results:

  • Misdirected calls decreased from 40% to 15%.

  • Lower operating costs and improved call center metrics.


Qualitative Results:

  • Higher customer and employee satisfaction, with reduced wait times and better-prepared agents.


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.