Fin

Hi everyone,Our bot communicates in Hebrew. Because Hebrew is gendered, we’re seeing an inconsistency: Fin sometimes replies in masculine form and sometimes in feminine form.Both of the following Guidance rules are under Communication style: Bot self-reference is always masculine When responding in Hebrew, always refer to yourself in masculine grammatical form. This applies to self-descriptions, actions, and statements about your role or capabilities. Do not change your self-referential gender under any circumstances.What NOT to do: Do not adapt self-reference based on the user’s gender or language. Do not use feminine or neutral forms when referring to yourself.  AND:  Hebrew gendered language (pronoun-aware) When responding in Hebrew, adapt grammatical gender when addressing the user:

I am pretty new to Intercom although I am pretty familiar with other CX tools that are similar - I have been struggling lately with our bot giving completely wrong and false information to our customers on topics that need to be answered with accuracy. It is drawing information from places outside of the articles and snippets we have supplied in our instance. I am struggling with understanding why it would pull in information that is seemingly just completely made up or not in line with things we have published for the site. What would be some suggestions for how to update and change this? Should we use guidance? How specific can we get? Any tips at all? Thanks!

I’ve seen a consensus online that it should be very clear for customers they can say “talk to person” at anytime during the conversation to get connect to a human. This builds trust with them, but I’m curious how folks have been doing this.  We used to put it at the very beginning of conversations, but its unclear if that was effective and customers saw it. How do ya’ll do this? Open to all and any suggestions. 

Hi! We just set up intercom/slack connection which is very awesome! We don’t yet want Fin replying, and I have turned off all Fin workflows.  But, I can’t stop Fin from posting response times in slack threads in our community.  I can’t work out how to turn this off.  Any ideas?  Thanks Matt  

Whenever Fin receives a negative rating from a customer, I review the conversation and decide if perhaps it should be escalated to a human, or make improvements to our content. Are there any suggestions for automating this process? Or reports that tell us why there was a DSAT rating specifically (outside of the CX score)? Or perhaps a section in Optimize that will show us content suggestions specifically linked to a DSAT outcome? 

I would like to set FIN over the holidays so that it informs customers that the wait time for human support may be a little longer. Where can I set what FIN responds when asked for human support? 

Hi everyone, I am Raghav Hinduja Swiss (Switzerland) based IT-professional. I’m trying to export all user IDs and related user data from Intercom using the API. I’ve looked at the docs but I’m not sure about the most efficient approach, especially for large datasets. Has anyone done this before? I’d love to hear your suggestions

Hi everyone, I am Raghav Hinduja Swiss (Switzerland) based IT-professional. I’m trying to enable and customize chatbots in my system, but I’m not sure what the best approach is. I’d love to hear from anyone who has experience with chatbot setup and customization.

We use Fin’s inactivity auto close feature, initially this was set to a short 15 minutes but due to the nature of our clients industry it would not be uncommon for them to be away from the PC for 45 minutes or so. Last year the setting was changed to 3 hours and since then we’ve noticed our CSAT response rate has dwindled to a meagre 5%. I hypothesise this is largely due to the lengthy inactivity setting and customers then failing to interact and the interaction itself being largely forgotten. I’m curious other users inactivity setting and the CSAT response rate you receive. 

Hi folks, I am a product manager on a no-code app building product for manufacturers. We allow process engineers to build apps and deploy them onto a manufacturing shop floor.Since app building is a creative process, and requires understanding of UI, logic and our no-code database, our customer questions tend to be complex- they are not easily answered by single knowledge base articles, and the possibilities for using our features are essentially endless.Has anyone come up with prompts that help Fin answer these types of questions?As an example, I have gotten pretty good results from adding this prompt to the “Other” category under guidance. It took a lot of trial and error.title: Assume complex answers requiredbody: If a customer asks a question that spans multiple features in our product, investigate each feature individually before returning a response. Your answers should comment on the review of each individua

Hi there! I’m trying to test a use case, but no luck so far, so I wanted o see if any of you tried something similar. Use case: I need Fin to override the user’s initial inquiry IF Fin detects a Health check issue on the user’s account. I have the data connector set up, and I added a When/If/then guidance. So far, this guidance is only triggered if the user asks a direct question about their account health status. Here’s a screenshot of the rule:  

I’ve noticed FIN closing some conversations because the user didn’t explicitly confirm escalation, even though the conditions for escalation were met. The rules I set were: Escalate if the user shows negative or neutral sentiment. Escalate when the user provides all required information. Escalate when the user requests escalation. The issue is that when a user provides all the information and FIN sends the escalation message “An agent will be with you soon,” it later follows with “Is there anything else I can help you with?”If the user responds with something like “No,” FIN ignores the first escalation message and treats the user’s “No” as a signal to close the chat. Instead of keeping the ticket open for an agent, it ends the conversation.

Hi everyone, We’re seeing Fin frequently sending a follow-up message after responses, like:“Did that answer your question?” / “Was this helpful?” In many cases it happens almost after every message, and it can feel repetitive for customers. Is there a way to control the frequency of this follow-up (reduce it, change when it appears, or disable it)? We’d like more control so it doesn’t trigger too often.

Hey Community,we have issues setting up Intercom AI so it solves different Topic automatically. Can you help us?For some reason FIN suddenly and randomly answers with wrong answers.We tried everything (with and without guidance,...) All the Content stayed the same and in the past FIN was super helpful. We are looking for an expert to help us automate different Topics in our Customer Support.Thank you in advance!

We’re going to stop using Fin AI. It’s a shame because the product itself is really good, but the pricing isn’t suited to marketplace business models like ours.With margins of around €1 per user per month (incl. VAT) and high volumes, the cost quickly becomes unsustainable.If possible, it would be great to share this feedback with your product teams internally — there’s likely a broader pricing vs. business model fit issue for marketplaces.

I would like to setup for all of 2026 for FIN give advance notice when a holiday office closure is approaching and then set proper expectations for human responses during the holiday.I don’t want to create a separate workflow for each holiday. Appreciate any suggestions, thanks. 

Hi everyone,We’re using Fin with an escalation rule that hands the conversation off to a human when certain conditions are met.Right now, when escalation triggers, Fin sends the customer a fixed handoff message that repeats word-for-word across conversations. The phrasing doesn’t match our support tone of voice, and it feels robotic.Is there a way to control or customize the customer-facing text that Fin sends at the moment of escalation/handoff?  

I want to establish a consistent daily ritual where I review Fin AI performance and make meaningful updates (I currently make content updates based on Fin AI DSAT ratings).  I’ve already seen this post.What Intercom features do folks use in their daily maintenance of Fin? How much time do you spend on this daily? Looking for ideas!  I still do sprints outside of the daily routine to explore certain Intercom features, so this would be in addition to that.

We are a SaaS environment where FIN supports two separate products that are able to be connected to one another.  We are working with audience content targeting and other documentation flows and guidance to ensure the proper resources and content are sourced for the correct inquiries.  We’ve also had issues where changes were implemented before we were able to ALL sourced content updated, and instruction was given that couldn’t be followed. Has anyone come up with a way to track conversations that specifically are giving information the customer is unable to follow?Current Idea going over this afternoon is to make an attribute, and have the key words and things often asked include “its not there” “i’m unable to do that” “that is missing for me” and other example statements we’ve seen in chat, and have that be a specific attribute used in an escalation guidance, and get those customers to reps to verify their environment. But would also then be able to get rep

Hi community, I'm trying to set up Fin to provide different responses to different audiences using audience-targeted Snippets, but Fin is completely ignoring them and not using them at all. What I've configured:• Created specific Audiences based on user attributes • Created Snippets with different content for each audience• Assigned the appropriate Audience to each Snippet using Audience Targeting• Verified that users match the correct Audience criteriaThe problem:Fin is NOT accessing the audience-specific Snippets at all - it completely ignores them and uses general content or other articles instead. Even when the Snippet is perfectly relevant to the question and targeted to the correct audience, Fin doesn't use it.Context:We're a fintech company with complex financial products. It's critical for us to have a SCALABLE solution that ens

Earlier, under Fin AI Agent → Train → Content, there was a Custom Answers tab within Content Sources, where I had added several custom answers.I no longer see the Custom Answers option in this section.Could you please clarify: How can I access the custom answers that were previously added? Are these existing custom answers still being used to train the AI agent? What is the current process for adding new custom answers?

I would love to have an option to involve in only for collecting conversation Attributes. Right now it is not possible and any workaround works.  Even if I create a special tag/inbox for collecting attributes Fin must be involved which means even if it meet the escalation rule, it will reply that the conversation has been passed on. I would like Fin working in the background, collecting attributes from ALL conversations.  Maybe managing the Fin’s steps (in Let Fin handle nod in workflows) would be a solution. I mean turning off using content, guidances and leaving just collecting attributes would do the trick.