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  • What is DeepConverse?
  • Chatbots
    • Basics
      • Building chatbot intents
      • Intent action responses
      • Chatbot Persistence mode
      • Publishing changes
    • Advanced Functionality
      • Connection Override
      • User Identity Verification
      • Announcements
      • Channel Specific Functionality
        • Zendesk Sunshine Conversations
          • How to handle image and file uploads in Zendesk Sunshine Conversations?
        • Zendesk Chat (Classic)
          • How to handoff conversations to Zendesk Chat (Classic) ?
        • Calendly
    • Branding
    • Deploy
      • Chatbot Versioning
      • iOS SDK
        • iOS (Custom Webview)
      • Android SDK
      • Adding widget to your Zendesk Help Center
      • Adding widget to your website
      • Custom Initialization and Passing Metadata
      • Open chatbot via Javascript
      • Adding widget to your Shopify Store
        • Adding the widget to Shopify via the Theme editor embed block
    • Localization
    • Customizations
      • Adding a link to your Privacy Policy in Chatbot window
  • Voice Bot
    • Getting Started with Voice Bots
    • Voice Bot Architecture
    • Supported use cases for Voice Bot
    • Setup and Configuration
  • Ticket Automation
    • Setup Zendesk email and ticket automation
  • Guides
    • Building Guides
    • Guide Theme Customization
    • Embedding Guides on your website
    • Embedding Guides in Chatbots
    • How to copy Guides across sites
  • Conversational Flow Builder
    • What is the Conversation Flow Builder?
    • Assign Parameters in Conversations
      • Predefined Parameters
    • How to use Rules in Conversations
    • Conversation Blocks
      • Question
      • Salesforce Blocks
        • Agent Availability Block
        • Live Agent Handover
      • Guide Blocks
        • Guide Step (Guide Flow)
        • Solved Block
        • Unsolved Block
        • Guide (Chatbot)
      • HTTP Request
      • Client Events
      • Policy
      • Zendesk Sunshine Conversations Handoff (In Widget)
    • Data Tables
      • How to read or search data from Data Tables?
  • Analytics
    • Chatbot Analytics
    • Viewing Chat Conversations
    • Message Viewer
    • Integrating with Google Analytics
    • Export API
      • Conversations Endpoint
      • Messages Endpoint
  • Integrations
    • Supported Integrations
      • Zendesk
      • Zendesk Sunshine Conversations
      • Salesforce
      • Gorgias
  • Account
    • Adding Users
    • Permissions and Roles
    • Multiple Sites
  • Security
    • DeepConverse Public IPs
    • Subprocessors
    • Data Request Policy
    • Technical and Organizational Security Measures
    • Reporting Security Vulnerabilities
      • Log4Shell Vulnerability
    • Generative AI - Technical Security Measures
  • Support
    • Contacting Support
    • Service Levels and Response Times
    • Platform Stability
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  • Importance of voice bots
  • Considerations

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  1. Voice Bot

Getting Started with Voice Bots

In this section you will learn how to build bots that can be deployed on the voice / phone channel. The voice bots are capable of handling calls, providing answers and executing complex workflows using AI and Automation.

Voice bots are built using the same core building blocks as the chatbots.

This is feature is in ALPHA. For more information contact the DeepConverse team.

Importance of voice bots

Voice bots built on the DeepConverse platform integrate with the business's contact center. Once a voice bot has been set up, customers can interact in human like conversations. The voice bots make use of:

  1. Speech to text (STT) module to listen to the request of the customer, transcribe it and provide it to DeepConverse platform.

  2. DeepConverse platform handles the Natural language understanding performing the relevant actions and composing a reply.

  3. Text to speech (TTS) module to take the reply and convert it to human voice to be played back to the customer.

Considerations

  1. Currently voice bots are optimized for handling support calls in English

  2. Many of the platform blocks are interoperable between the voice and chat channels. That said due to the difference in the channel and expectation from customers certain channel specific behavoirs are introduced. This helps handle complex use cases better within the conversation.

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Last updated 1 year ago

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