Build reliable voice analytics workflows with AWS Lambda durable functions and Amazon Bedrock

This article demonstrates a solution for building reliable voice analytics workflows using AWS Lambda durable functions and Amazon Bedrock to transform call recordings into actionable insights.

• AWS Lambda durable functions simplify multi-step workflows with automatic checkpointing, retries, and error handling
• Amazon Bedrock generates summarization, sentiment analytics, and key topic extraction from voice transcriptions
• Solution ingests transcriptions via Amazon Kinesis Streams and stores them in Amazon DynamoDB
• Web application built with Amazon ECS and ALB provides visualization of transcriptions and insights
• Amazon Cognito handles user authentication and authorization for the web interface
• Supports transcriptions from external systems or Amazon Connect Contact Lens
• Complete deployment via AWS CDK with sample GitHub repository provided

The solution reduces manual processing of voice analytics by automating insight generation and providing a unified interface for contact center teams to access conversational intelligence.