Learn how to deploy Fini on your LiveChat account
This document provides a comprehensive guide to integrate Fini with LiveChat, categorized into five main sections:
Follow the listed steps and configurations to successfully connect and optimize your Fini chatbot within the LiveChat environment.
Go to Deploy
Connect Livechat
In order to do that you’re going to need Client ID, Client secret and Secret key. Check our guide on how to get these passes here
Insert Client ID
Insert Client secret
Insert Secret key
Insert Bot agent email
Make sure that this email belongs to an agent on your team, and the status of the person is set at https://my.livechatinc.com/team as Accepting chats
Authorize
Scroll to the bottom of the page and click on Authorize.
After authorizing accesss fill in all of the sections starting with:
Configure how Fini will handle replies:
Select time delay
Set a Debounce lag
Choose a Reply Type
Fini supports two types of replies:
PII masking
To protect Personally Identifiable Information (PII), enable PII masking. When enabled, Fini will avoid using personal data (like the user’s name, email etc.) in responses, providing a generalized interaction.
Example:
With PII masking:
“Hello, how can I assist you today?”
Without PII masking:
“Hello, John, how can I assist you today?”
These settings determine how Fini responds when an issue is escalated to a human agent.
Group on Transfer
From the dropdown field select the LiveChat group which will receive the escalated messages
Transfer fail message
Define the message that the user will receive if the transfer to a human agent was unsuccessful
Suggested Message
“Apologies, my colleagues are not available at the moment, i will escalate your request and someone will reach out to you via e-mail in the shortest time possible”
Action if Escalated
Define what happens if Fini encounters a question it cannot answer (e.g., sensitive topics):
Suggested Message
“Thank you for the additional information. This will be included in the ticket for our specialized human agent team.”
Acknowledgment Message
Suggested Message:
“Thank you for the additional information. This will be included in the ticket for our specialized human agent team.”
Threshold Count for Escalation
Message When Escalated via Threshold
Suggested Message When Threshold is Reached:
“Thank you for your message. Unfortunately, this is outside of my expertise, and I will need to escalate this to our specialized support team. A member of our team will reach out shortly.”
Toggle the Categorization setting to allow Fini to automatically categorize tickets based on their content using AI.
In this section you’re asked to select the bot you wish to deploy and channel where it will be active
Select Bot
Select in which channel the bot will be active
Click on Save
Make sure to follow this guide thoroughly to ensure the optimal performance of Fini within your Livechat environment. For any additional configurations or queries, reach out to hello@usefini.com
Learn how to deploy Fini on your LiveChat account
This document provides a comprehensive guide to integrate Fini with LiveChat, categorized into five main sections:
Follow the listed steps and configurations to successfully connect and optimize your Fini chatbot within the LiveChat environment.
Go to Deploy
Connect Livechat
In order to do that you’re going to need Client ID, Client secret and Secret key. Check our guide on how to get these passes here
Insert Client ID
Insert Client secret
Insert Secret key
Insert Bot agent email
Make sure that this email belongs to an agent on your team, and the status of the person is set at https://my.livechatinc.com/team as Accepting chats
Authorize
Scroll to the bottom of the page and click on Authorize.
After authorizing accesss fill in all of the sections starting with:
Configure how Fini will handle replies:
Select time delay
Set a Debounce lag
Choose a Reply Type
Fini supports two types of replies:
PII masking
To protect Personally Identifiable Information (PII), enable PII masking. When enabled, Fini will avoid using personal data (like the user’s name, email etc.) in responses, providing a generalized interaction.
Example:
With PII masking:
“Hello, how can I assist you today?”
Without PII masking:
“Hello, John, how can I assist you today?”
These settings determine how Fini responds when an issue is escalated to a human agent.
Group on Transfer
From the dropdown field select the LiveChat group which will receive the escalated messages
Transfer fail message
Define the message that the user will receive if the transfer to a human agent was unsuccessful
Suggested Message
“Apologies, my colleagues are not available at the moment, i will escalate your request and someone will reach out to you via e-mail in the shortest time possible”
Action if Escalated
Define what happens if Fini encounters a question it cannot answer (e.g., sensitive topics):
Suggested Message
“Thank you for the additional information. This will be included in the ticket for our specialized human agent team.”
Acknowledgment Message
Suggested Message:
“Thank you for the additional information. This will be included in the ticket for our specialized human agent team.”
Threshold Count for Escalation
Message When Escalated via Threshold
Suggested Message When Threshold is Reached:
“Thank you for your message. Unfortunately, this is outside of my expertise, and I will need to escalate this to our specialized support team. A member of our team will reach out shortly.”
Toggle the Categorization setting to allow Fini to automatically categorize tickets based on their content using AI.
In this section you’re asked to select the bot you wish to deploy and channel where it will be active
Select Bot
Select in which channel the bot will be active
Click on Save
Make sure to follow this guide thoroughly to ensure the optimal performance of Fini within your Livechat environment. For any additional configurations or queries, reach out to hello@usefini.com