Categories

AI/ML Development

Automation

Engagement Analytics

Tech Stack

AI-Driven Automated Conversation Insights Platform

Our client, a leader in digital marketing and customer engagement, manages over 1 million calls per month across various channels. To eliminate the inefficiencies of manual call reviews, they launched the Call Analysis AI (CA2I) platform, leveraging AI-driven automation to categorize calls, generate real-time summaries, rate service quality, and provide actionable insights.

Challenge

  • Inefficient Manual Review: Categorizing and analyzing 1M+ calls monthly was time-consuming, inconsistent, and error-prone.

  • Lack of Real-Time Insights: No automated system for service quality scoring, trend detection, or benchmarking across business units.

  • Scalability & Security Concerns: Growing call volumes required AI automation while ensuring data security and compliance.

Solution

  • An AI-powered call analysis platform that automates real-time transcription, categorization, quality scoring, and insights, enabling scalable, accurate, and data-driven customer engagement

  • Integrated AWS Transcribe for multi-language support, converting call recordings into text with high accuracy.

  • Leveraged AWS Bedrock (Anthropic Claude 3) to generate real-time summaries, capturing key details such as intent, outcome, and sentiment immediately after call completion.

  • Developed custom models using FastAPI and LangChain integrated with AWS Bedrock to classify calls into actionable dispositions like opportunities, service areas, and price-sensitive inquiries.

  • Automated call and agent performance scoring using AI models, providing metrics like satisfaction and effectiveness.

  • Used AWS Bedrock (Amazon Titan Multimodal Embeddings) to identify trends and benchmarks across tenants and business units.

  • Designed dashboards with React.js and ANT Design to provide global and tenant-specific performance metrics, time-period filters, and actionable insights.

  • Integrated with call systems like Invoca, Call Rail, and Twilio to trigger workflows, delivering summaries, ratings, and insights seconds after call completion.

Outcome

  • Reduced call analysis time from hours to seconds, enabling real-time processing for over 1M calls monthly.

  • Achieved 90%+ accuracy in summaries, dispositions, and ratings compared to manual reviews.

  • Delivered proactive recommendations, improving service quality and client satisfaction.

  • Ensured compliance with robust encryption and access control mechanisms.