Chatbot with LiveAgent integration

Human fallback is a vital part of every good AI customer service chatbot. While AI is the perfect solution for offloading basic queries and offering self-help, it’s still far from perfect. Some queries are too specific or complicated for AI to handle, and some customers will simply forever prefer human conversations. FlowHunt allows you to…
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Chatbot with LiveAgent integration

Human fallback is a vital part of every good AI customer service chatbot. While AI is the perfect solution for offloading basic queries and offering self-help, it’s still far from perfect. Some queries are too specific or complicated for AI to handle, and some customers will simply forever prefer human conversations.

FlowHunt allows you to handle these situations with a seamless human handoff. It integrates with your favorite customer service tools, including LiveAgent. This simple template can give you a head start in creating your AI Chatbot with LiveAgent integration.

What you create:

Chatbot with LiveAgent integration

What the user sees:

FlowHunt's bot answering using LiveAgent integration

This template uses an AI agent. Agents are autonomous bots capable of their own reasoning. This allows the Chatbot to correctly assume when it’s able to answer a question based on connected knowledge and when it should perform a human handoff instead.

Once the contact button is pressed, the chatbot promptly changes into your LiveAgent chat window, directly connecting the customer to your support. Based on your settings, it may switch to a contact form instead.

Components breakdown

  • Chat Input: Represents the message you send in the chat. It’s the starting point of any flow.
  • Document Retriever: Allows the bot to look up and use information from your website and linked documents.
  • Chat History: Ensures the bot remembers a set amount of previous messages.
  • Tool Calling Agent: An autonomous AI with its own reasoning.
  • LiveAgent Human Assist Tool: Pre-programmed tool that connects to LiveAgent chat window.
  • Chat Output: Component representing the chatbot’s answer.

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