how can we include beamer feature requests in Fin AI? | Community
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how can we include beamer feature requests in Fin AI?

  • April 21, 2024
  • 2 replies
  • 253 views

What is the best way to feed FIN AI with Beamer feature requests? 
 

foe example, lead comes in and asks for a feature that is under development. 
 

Unless fin knows about the request, the answer will lead to a conversation.

what I am trying to achieve is to streamline the conversation with additional context to increase engagement, conversion and retention. 
 

 


 

Best answer by Jacob Cox

Hi @Laurent Malka !

Are you looking to feed this data into the AI Agent so it can let customer’s know that something is a feature request?

Fin learns from the documents that you send to it weather that be your Intercom Help Center, external knowledge base, your inbox conversation, along with the snippets and pdf files that your team sends to it. 

That said, there isn’t currently a way for you to directly feed information from a third party tool into Fin. I will flag this with our team as a Feature Request, though!

 

 

 

2 replies

Jacob Cox
Intercom Team
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  • Sr. Technical Support Engineer
  • 441 replies
  • Answer
  • April 27, 2024

Hi @Laurent Malka !

Are you looking to feed this data into the AI Agent so it can let customer’s know that something is a feature request?

Fin learns from the documents that you send to it weather that be your Intercom Help Center, external knowledge base, your inbox conversation, along with the snippets and pdf files that your team sends to it. 

That said, there isn’t currently a way for you to directly feed information from a third party tool into Fin. I will flag this with our team as a Feature Request, though!

 

 

 


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  • New Participant
  • 3 replies
  • September 4, 2025

A good way to include Beamer feature requests in Fin AI is by syncing updates from Beamer into Fin’s knowledge base. You can do this via API/webhooks or automation tools like Zapier/Make. Tagging requests (e.g., “Planned,” “In Development”) also helps Fin give more contextual replies, so leads get accurate updates instead of generic answers.