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AI-Powered Customer Service Solution for Multilingual Support
  1. case
  2. AI-Powered Customer Service Solution for Multilingual Support

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AI-Powered Customer Service Solution for Multilingual Support

spyro-soft.com
Financial services
Information technology
Customer service

Challenges in Customer Service Efficiency

The institution faced difficulties in managing high volumes of routine customer inquiries (e.g., account balances, transaction history) due to limited Polish language support in existing AI tools. This led to increased operational costs, slower response times, and suboptimal customer satisfaction.

About the Client

A leading financial institution focused on leveraging AI to enhance customer service efficiency and competitiveness.

Key Project Goals

  • Automate resolution of routine customer inquiries using AI
  • Improve customer satisfaction through faster and more accurate support
  • Reduce operational costs by minimizing human agent workload
  • Ensure seamless integration with existing customer service infrastructure
  • Provide robust Polish language support for voice and text interactions

Core System Requirements

  • Polish language voicebot and chatbot capabilities
  • Intent recognition and conversation flow automation
  • Seamless call routing to human agents with context preservation
  • Sentiment analysis and conversation summarization
  • Integration with AWS services for data storage and processing

Technology Stack

Amazon Connect
BoostAI
Amazon Bedrock
Amazon DynamoDB
Amazon S3
Amazon SageMaker
Amazon QuickSight

System Integrations

  • Amazon Connect with BoostAI for voicebot functionality
  • DynamoDB for conversation transcript storage
  • S3 with SageMaker for audio transcription
  • QuickSight for dashboard visualization

Non-Functional Requirements

  • High scalability to handle peak call volumes
  • 24/7 system availability
  • Data security and compliance with financial regulations
  • Low-latency voice recognition and response generation
  • Automated maintenance and updates

Expected Business Impact

The implementation is projected to reduce consultant workload by automating 60-70% of routine inquiries, decrease operational costs by 30-40%, and improve customer satisfaction scores by enabling faster resolution times and 24/7 multilingual support.

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