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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
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