Yellow.ai Analyze: Enhancing AI agent conversations with continuous automation

Reduce tickets by 30% and drive 10% higher containment rate with insights and continuous knowledge base improvement powered by LLMs.

Features

• Self learning loopback for AI agent and KB improvement - Assess agent conversations with LLM models - Generate KB articles from successful agent interactions - Leverage auto-generated KB articles to enhance company KB and train AI agents for future instances
• Strategic insights with topic clustering - View and analyze AI-generated topic clusters for AI agent conversations - Get topic level insights like conversation share, containment rate, CR opportunity, etc. - Dive deeper into each topic clusters with percentage break down of conversations in each sentiment category
• Conversation analysis for improved support - Evaluate each AI agent conversation with in-house LLMs - Assess conversations to improve quality of resolution and customer satisfaction - Generate insights to find opportunities for driving higher automation
• Higher user satisfaction with sentiment analysis - Get topic level and conversation level breakdown of user sentiments - User sentiment analysis categorized into positive, negative and neutral - Timeline view of user sentiments across a given period to understand trends