We built a Voice of Customer Intelligence Agent that transforms traditional survey data pipelines into real-time, AI-driven decision systems. The agent continuously ingests customer feedback, analyzes it using IBM Watsonx Granite for sentiment, topics, urgency, and PII redaction, and enriches each signal with live industry context via Tavily. A supervisor agent evaluates each response, identifies critical signals such as churn risk or legal threats, and escalates them instantly to Slack, enabling human-in-the-loop intervention. Built on an event-driven architecture using Redis Streams, the system is designed for real-time processing, reliability, and scalability. By reducing crisis detection time from days to minutes and automating manual analysis, our solution bridges the gap between raw data pipelines and actionable business intelligence. https://www.youtube.com/watch?v=elC7RVB_ZJc
Built at Enterprise Agents Hackathon: Powered by IBM Watsonx Orchestrate AI Labs, Tavily, and Redis
Voice of Customers - Survey AI
We built a Voice of Customer Intelligence Agent that transforms traditional survey data pipelines into real-time, AI-driven decision systems. The agent continuously ingests customer feedback, analyzes it using IBM Watsonx Granite for sentiment, topics, urgency, and PII redaction, and enriches each signal with live industry context via Tavily. A supervisor agent evaluates each response, identifies critical signals such as churn risk or legal threats, and escalates them instantly to Slack, enabling human-in-the-loop intervention. Built on an event-driven architecture using Redis Streams, the system is designed for real-time processing, reliability, and scalability. By reducing crisis detection time from days to minutes and automating manual analysis, our solution bridges the gap between raw data pipelines and actionable business intelligence. https://www.youtube.com/watch?v=elC7RVB_ZJc
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