Auditalk

Template for auditing call center conversations with transcription, data extraction, and AI insights.
img
In this template:
1 Collection
  • Auditoria call center
Overview
Analytics
Config
Records found 5
URL
Downloaded audio
Chat from transcription
Agent name
Customer name
Customer development
Customer phone
Customer address
Overall customer sentiment
Conversation temperature
Customer sentiments
Agent sentiments
Create date
New record
Connections
LemonfoxLemonfox
OpenAIOpenAI
AI
Automation
Sentiment Analysis
Transcription
Voice Analysis

This template enables automated auditing of call center conversations. From a URL or audio file, the conversation is transcribed and displayed in a chat-like format on Cogfy.

It also extracts key customer and agent data, such as:

  • Agent name;
  • Customer name;
  • Customer address;
  • Associated project or service;
  • Customer phone number.

In addition, AI-powered analysis provides:

  • Customer sentiment (e.g., confused, frustrated, grateful, interested, satisfied, angry);
  • Agent sentiment (e.g., proactive, neutral, defensive, empathetic, positive);
  • Conversation temperature (low, medium, high);
  • Overall customer sentiment (positive, neutral, negative).

🛠️ Use Cases:

  • Quality assurance teams
  • Compliance and audit teams
  • Customer experience reviews
  • Agent performance evaluation

Template | Auditalk