CCAI | Adding flows to scale your virtual agent
LINK : QUICK LABS 04:00:00
Course Overview
In this course you'll learn how to create, deploy, secure, debug, and manage virtual agents (also known as Voice Bots or Chat Bots). Gone are the bots of the past which intepreted inquiries incorrectly or couldn't maintain context within a conversation.
Google's Contact Center Artificial Intelligence (Contact Center AI) platform provides all the tools, services, and APIs you'll need to build your virtual agent so you can hold intelligent conversations with customers reaching out to you for assistance.
Module Objectives
In this lab, you'll become familiar with the use of flows to divide virtual agent logic into self-contained blocks in Dialogflow CX. By the end of this lab, you will be able to:
Add and configure a flow in Dialogflow CX.
Configure the call to the flow from the Default Start Flow.
Test and debug as needed to confirm the flow is properly set up.
Note: throughout this lab you may notice there are more ways than one to configure things in Dialogflow CX. The steps in this task are meant to give you a good orientation but won't exhaust all methods.
There may be some that are more straightforward for you. Feel free to experiment.
Resources
The following are some resources intended to help you complete the lab components:
Refer to the Cloudio Virtual Agent Reference when you need more ideas on the design.
Refer to this lab's sample solution when you want to compare your work with one possible way of implementing the virtual agent:
virtual agent
Use the following when you missed an earlier lab and need to import a prerequisite solution in order to work on the lab for this module:
virtual agent quick start