Agents

AI VOICE AGENTS

A comprehensive guide to building, testing, and managing high-performance AI voice agents for phone-based customer interactions.

WHAT ARE AI VOICE AGENTS?

AI Voice Agents are intelligent virtual assistants that conduct natural conversations over the phone. They use advanced AI technology to understand context, provide relevant responses, and handle complex customer interactions without human intervention.

Agent Dashboard showing agent management interface with agent list, status, and actions

Key Capabilities

Agents feature natural language understanding for fluid conversations.They handle context-aware conversations and multi-turn dialogue management.Core capabilities include knowledge base integration and real-time response generation.The platform provides post-call analytics and qualification features.

Use Cases

Primary uses cover customer service support and sales/lead qualification.Agents are effective for appointment scheduling and providing order status updates.Other applications include market research surveys, real estate consultations, and HR recruitment calls.

WAYS TO CREATE AGENTS

Choose the method that best fits your needs and technical expertise.

Coming Soon

Create with AI

Simply describe your business needs in natural language, and our AI will generate a complete agent configuration tailored to your requirements. This process includes analyzing your needs, generating the full config, and setting the voice, prompts, and settings, making the agent ready to deploy in minutes.

Use Templates

Start with professionally crafted templates for common business scenarios; each template includes optimized prompts, conversation flows, and best practices. Templates are available for specific flows like Automobile Sales, Real Estate, and HR Recruitment.

Create from Scratch

Build a completely custom agent with full control over every aspect of the conversation flow, prompts, and behavior. This is ideal for complex or unique use cases requiring granular control over configuration, qualification, and advanced prompt engineering.

Configure

Define agent settings, voice, and initial parameters.

Qualification

Set specific criteria for lead qualification or task completion.

Prompt

Craft detailed prompts for various conversational scenarios.

Test

Conduct thorough testing before agent deployment.


TESTING AND DEPLOYMENT

Thoroughly test your agent before deploying to ensure it meets requirements and provides an excellent user experience.

Test Calls

Make test calls and review the conversation logs immediately afterward.Check for response accuracy and validate the entire call flow.Ensure the test calls properly validate the defined qualification criteria.

Performance Monitoring

Track call success rates and monitor response times once live.Analyze conversation quality and review user satisfaction metrics.Measure the qualification accuracy of the agent during real calls.

Optimization

Optimization involves updating configurations and improving responses based on performance data. You should refine the conversation flow, enhance the knowledge base content, and adjust qualification criteria regularly to improve agent performance.


AGENT MANAGEMENT

Manage your existing agents with comprehensive editing, testing, and monitoring capabilities.

Edit & Update

Easily modify agent configurations and update prompts/responses.Adjust qualification criteria and change the agent's voice and settings.The platform allows you to update the knowledge base anytime.

Monitor & Analyze

View detailed conversation logs and track key performance metrics.Analyze qualification results, generate comprehensive reports, and export data.

BEST PRACTICES

Agent Design

Keep conversations natural, friendly, and provide clear value propositions to the caller.Ensure the agent handles objections gracefully and includes escalation options to a human.Always test the agent with real-world scenarios and set clear qualification criteria.

Performance Tips

Start with simple use cases, then gradually add complexity as performance improves.Monitor analytics and iterate on the agent's configuration regularly.Keep the underlying knowledge base updated and train on real conversation data.Regularly review analytics to spot areas for improvement in flow or tone.