What are you building?
A call monitoring AI tool built-in with real time sentiment, severity and compliance checks for credit card companies
Problem Statement
(Please view our video on youtube : https://youtu.be/vLYaYw-E4sQ)
In customer support at companies several recurring challenges often slow down issue resolution and limit the ability to act on customer feedback:
Customers frequently reach out about the same problems, but these insights rarely reach leadership in time to influence product improvements.
When the same issue suddenly spikes across many customer representatives, it takes too long to identify the trend and apply a quick fix.
Capturing the urgency, sentiment, and context of a customer’s issue during the call is difficult and inconsistent.
Compliance requirements are complex and hard to monitor in real time.
Our project directly addresses these challenges by providing an AI-powered, real-time monitoring and analytics platform for customer support teams in the financial sector.
Key features include:
Real-time call insights: The system summarizes customer sentiment, urgency, and severity live during the call, giving agents and managers instant visibility.
Compliance checks on the go: Pre-built, off-the-shelf compliance rules ensure every call aligns with federal and state policies—no need for dedicated experts to constantly update rule sets.
Cross-call trend analysis: Instead of analyzing calls in isolation, the platform detects spikes and trending issues across all customer conversations, allowing quick fixes and faster escalation to leadership.
Manager dashboard: A unified view of sentiment trends, compliance issues, agent performance, and emerging customer concerns—supporting proactive decision-making.
Case summaries: Every call is auto-summarized with sentiment, severity, and common peak issues, helping both representatives and product managers act quickly.
In short, our solution not only monitors compliance but also transforms customer support conversations into actionable insights. By surfacing recurring issues, detecting sentiment and urgency, and spotting trends across calls, it helps customer support teams react faster, keeps leadership informed, and ultimately improves both compliance and customer experience.
Technologies
Langchain, Openai, React, Anthropic, Vite, Rags
Project Stage
Build in progress
(open to collabs)Github URL
https://github.com/rjsu26/call-zen-panel
LinkedIn URL
None
Project Website
https://call-zen-panel.lovable.app/
Project Members
rrjsu26(Owner)
