Case Study

Modernizing Insurance Customer Service with Amazon Bedrock AI 

Background

A major regional insurance provider leveraged Amazon Bedrock Nova models to deliver policy-aware AI assistants that automate routine inquiries, improving customer satisfaction and reducing operational costs. 

The Challenge

The insurer faced growing challenges in delivering clear, efficient, and compliant customer service.

  • Modernize how customers access and understand complex policy information.

  • Reduce the pressure and workload on call center teams.

  • Maintain strict compliance with industry regulations while scaling service.

Our Solution

Rambunct implemented a secure, serverless AI solution on AWS to deliver policy-aware, human-like customer interactions at scale.

  • Deployed Amazon Bedrock Nova models to build conversational AI assistants that explain policy documents in plain language and provide personalized recommendations.

  • Used AWS Lambda to securely fetch real-time customer policy data from backend systems, enriching each interaction.

  • Delivered the solution via serverless Bedrock API calls, ensuring scalability without in-house AI infrastructure.

  • Integrated within a secure VPC environment with KMS-encrypted data handling and CloudWatch telemetry for monitoring and compliance.

The Result

The solution delivered significant efficiency gains, cost savings, and improved customer experiences.
  • 60% of routine queries fully automated.

  • 35% reduction in operational costs over three years.

  • 40% faster customer response times.

  • 17% improvement in customer satisfaction ratings.