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Introducing

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.

Assess and continuously improve AI agent conversations to drive measurable business impact

30%

Reduction in support tickets

10%

Higher
containment rates

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

Reduce support tickets upto 30% with AI-powered Analyze for continuous learning loopback