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Amazon EC2, Amazon Bedrock, Amazon Bedrock Knowledge Base, Amazon DynamoDB, Amazon S3
Real-time multilingual AI voice assistant platform with intelligent travel knowledge retrieval and automated post-call summarization.
InDiiServe AI is a technology-driven company focused on AI automation, digital transformation, and intelligent business solutions. The company helps organizations improve customer engagement and operational efficiency using AI-powered platforms, conversational AI, and modern cloud technologies to deliver scalable and personalized customer experiences.
Reduced Manual Customer Engagement
Reduced Average Customer Wait and Response Time
Improved Information Capture Accuracy
The customer required a scalable real-time conversational AI platform capable of supporting multilingual voice interactions with low latency and human-like responses. The solution also needed intelligent travel knowledge retrieval, external search integration, personalized caller memory for returning users, automated post-call summarization, and secure telephony orchestration for inbound and outbound calls.
• Implemented a real-time speech-to-speech conversational AI platform using Amazon Bedrock Nova Sonic.
• Configured Exotel PSTN/SIP integration with secure WebSocket streaming through Amazon CloudFront.
• Deployed a FastAPI-based backend on Amazon EC2 for bidirectional audio streaming and call orchestration.
• Implemented Amazon Bedrock Knowledge Base with Amazon S3 for semantic travel information retrieval.
• Integrated SerpAPI, Titan Embeddings v2, and FAISS vector caching for intelligent external search with reduced latency.
• Used Amazon DynamoDB to store caller history, preferences, transcripts, and personalized conversation context.
• Automated post-call summarization and analytics using AWS Lambda and Amazon Bedrock Qwen 3 235B.
• Implemented centralized monitoring, audit logging, and secure access controls using Amazon CloudWatch, AWS CloudTrail, and AWS IAM.
Achieved 65% reduction in manual customer engagement, 60% faster response times, and 70% improved data capture accuracy through an AI-powered multilingual voice assistant with intelligent travel knowledge retrieval and automated conversation handling.
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