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Gaming
Amazon SageMaker, Amazon Bedrock, Amazon OpenSearch, Amazon API Gateway
Multilingual AI chatbot reducing support by 85% and scaling 4× traffic
The client is a leading online gaming platform specializing in skill-based card games. They have transformed traditional offline rummy into a modern online format accessible across devices. By combining technology, security, and user-friendly design, they’ve built a strong player community nationwide. Their vision is to continuously innovate using advanced technologies to enhance customer engagement, ensure fair gameplay, and deliver scalable digital entertainment solutions.
Reduction in manual intervention
Traffic Scalability
Amazon Bedrock
The customer’s existing support processes relied heavily on manual intervention, resulting in delayed responses and inconsistent service quality. The infrastructure could not provide seamless multilingual support, scale efficiently to meet rising query volumes, and integrate continuous deployment pipelines for faster updates. These limitations led to higher operational costs, reduced efficiency, and lower customer satisfaction.
• AI chatbot using Amazon Bedrock Claude Sonnet 3.5 for multilingual responses
• Action Groups for deposits, withdrawals, and FAQs with Titan embeddings and OpenSearch
• Secure chat interface via Amazon API Gateway and AWS Lambda for button and text queries
• Automated workflow with Amazon Bedrock Agents and CRM integration
• Customer data storage in Amazon S3 for queries, feedback, and screenshots
• Scalable infrastructure with CI/CD, AWS IAM, Amazon CloudWatch, and AWS CloudTrail
• High availability through AWS-native scalability for peak performance
Built a multilingual AI chatbot with Amazon Bedrock that automated 85% of customer support, scaled to 4× traffic, and integrated full CI/CD with comprehensive monitoring.
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