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Generative AI Features - Agent AI

Utilize generative AI features to supercharge your AI Agent with powerful tools that enhance productivity, enable natural conversations, improve intent detection, analyze customer sentiment, and support agent performance, all working together to create seamless end-user experiences through intuitive design.

Model Feature Matrix

The following table displays the features and the supportecd models.

(✅ Supported | ❌ Not supported)

Feature Azure OpenAI Models OpenAI Models Custom LLM XO GPT
Agent Coaching GPT-4o GPT-4o and GPT-4o mini
Conversation Summary
Generating Opposite Utterance Suggestions GPT-3.5 Turbo GPT-3.5 Turbo, GPT-4, GPT-4 Turbo, GPT-4o and GPT-4o mini
Generating Similar Answer Suggestions GPT-3.5 Turbo, GPT-4, and GPT-4o mini
Generating Similar Utterance Suggestions GPT-3.5 Turbo GPT-3.5 Turbo, GPT-4, GPT-4 Turbo, GPT-4o and GPT-4o mini
Sentiment Analysis GPT-4o GPT-4o and GPT-4o mini

Agent Coaching

Generate agent best responses based on the conversation history and current message to support agent coaching. Learn more.

Conversation Summary

Generate LLM-based summaries of conversations that have transpired up to that moment. This can be triggered upon arrival of conversation with an agent, transfer of conversation between agents, and at wrap-up of conversation, providing comprehensive wrap-up summaries.

Generating Opposite Utterance Suggestions

Use LLM models for generating opposite utterances during design time.

Generating Similar Answer Suggestions

Use LLM models for generating similar answers during design time based on semantic similarity.

Generating Similar Utterance Suggestions

Use LLM models for generating similar utterances during design time based on semantic similarity.

Sentiment Analysis

Agents will be able to monitor customer sentiment dynamically during active chat conversations. When enabled, this feature displays a sentiment indicator that updates in real-time based on ongoing conversation analysis.