• To make Fini’s response time feel more human-like, you can set a delay in seconds. For instance, a 1-hour delay would be set as 3600 seconds.

• This feature is useful for chat scenarios where the user sends information in multiple messages. Debounce lag allows the bot to wait for a specified number of seconds before responding. During this time, Fini assesses all incoming messages to generate a more relevant response based on complete understanding of the user issue.

Fini supports two types of replies:

• Direct Replies: Direct responses to customers.
• Internal Comments: Internal notes visible only to your support agents.

Configure how Fini responds when a support agent is assigned to a ticket:

• Reply to End User: Fini continues engaging with the customer even after agent assignment.
• Post Internal Comment: Fini stops communicating directly with the customer and instead posts updates as internal comments for the support team.
• No Reply: Fini stops all activity on the ticket, allowing the agent to handle it entirely.

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?”

Define what happens if Fini encounters a question it cannot answer (e.g., sensitive topics):

• Continue Responding: Fini will continue to engage even after escalation.
• No Reply: Fini stops replying after escalation.
• Send Acknowledgement Message: Fini sends a customizable acknowledgment message to the customer once escalation occurs.

Suggested Message

“Thank you for the additional information. This will be included in the ticket for our specialized human agent team.”

• Customize the message users receive when their query is escalated.

Suggested Message:

“Thank you for the additional information. This will be included in the ticket for our specialized human agent team.”

• Set a threshold for the maximum number of replies before escalation. If Fini cannot resolve an issue within a set number of replies (for chat we recommend to put it as high as 100), the ticket is escalated to a human agent.

• Customize the message users receive when the bot reaches the escalation 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.”

Complete the Fini authorization process by clicking Authorize

Toggle the Categorization setting to allow Fini to automatically categorize tickets based on the user conversation using AI.

This field has to already exists in HubSpot and contain the required categories

Decide whether new categories should append to each reply or overwrite the previous ones.

• Append Categories: Add new categories with each reply.
• Overwrite Categories: Overwrite categories from the previous reply.

• Set the maximum number of categories per reply.

Select the bot that you want to deploy for your HubSpot emails

It can be the support email, contact form or WhatsApp channel to which we want to reply to

Select email channel account -> If you’ve chosen Contact Form above, specify the Email Channel Account. It is the email address that will be used for sending replies when your user asks question through a contact form.