Fin is Intercom’s AI Agent for customer service, designed to deliver high-quality answers, even for complex queries. It works with any helpdesk, or it can be paired with Intercom’s next-generation Helpdesk to get the full Intercom Customer Service Suite.
The Salesforce Platform is designed for building and deploying scalable cloud applications with managed hardware provisioning and app stacks. Lightning Web Components are used by developers to build reusable UI components.
Fin comes with a 90-day money-back guarantee. Here's how it works:
Intercom states that users who sign up for the Fin Guarantee Success Program and do not achieve at least a resolution rate of 65% will be paid $1M. This program is designed for high volume customers.
Eligibility criteria:
High volume customers (over 250k monthly conversions) in North America and Europe. Intercom states that phase one of this program will admit customers on Intercom Helpdesk or Zendesk.
Granted I think both Zendesk and Salesforce are very good tools, I still think that Fin by Intercom is the best I've used. Salesforce can be very laggy at times, and there's nothing that can be done about it. The interface is clunky. Zendesk is coming in at a real close second, …
as mentioned, Intercom is one of iur tools. we use other tools for separate purposes. I think it's due to cost or more of other tools were introduced to us first prior to Intercom.
I can say that Intercom is at the top of the "tool chain", if there's one. I can't think of anything that makes me want to regret Intercom. All I can say about this tool is praises and gratitude as it really helped us a lot, more than you can imagine.
Intercom feels light and easy to use. It makes the workflow of the agent much better as all you need is built onto one page. Salesforce often feels heavy, you need to action many steps before closing a case . Client information is stored far away and you have to visit several …
Fin is great for using for first line support. We use Fin for conversations where customers have a standard question, and Fin is able to pull from our content to answer this accurately and go above and beyond to include some basic problem solving. This really helps us free up our Support Team's time for more complex queries. Fin isn't appropriate for us on technical issues or conversations which require human support. We've had to remove Fin from interacting on these conversations as customers were becoming frustrated with speaking to AI, or having Fin be unable to problem solve. However, this was easy to set up through Intercom, and now customers with complex questions/situations or bugs/technical issues do not engage with Fin and Fin only handles suitable conversations.
If you have a large customer base and a large amount of data on each of your customers, it is really strong in creating personalized content that your salespeople can use in their pitch meetings—and then setting up workflows for automated for lifecycle journey creations to automatically go out to customers.
It seems some users really struggle to figure out how to escalate to a human (especially through email).
Not excited about how "soft" resolutions still count as resolutions and are paid for. Though some abandoned cases appear to be able to be concluded as "the user got the answer they needed", there are others where they clearly didn't, because they just open up another chat (or even more), trying to get more info. This pads the resolution stats and makes it seem more effective than it actually is.
Cost -- Fin is quite expensive. It helps us with scaling coverage, but we're not really saving money.
We have been and will be continuing our journey with Intercom and nothing too concerning has happened that I have experienced or heard of that has us on the edge yet. If it ever happens it will be something along the lines of "Outgrowing" the use of need of the platform.
From an administration standpoint, Fin is very easy to set up, train, and test. Having the ability to impersonate a user in our system to see how Fin responds is huge. It lets you test several situations and throw curveballs at it (as customers will) without the risk of setting Fin live and wondering what will happen. It's also easy to fine-tune. Some chatbots you can never quite get right without spending hours on, but Fin usually takes a few minutes to dial it in. From a customer standpoint, Fin couldn't be easier to engage with. We tell customers up front it's an AI bot and they're wow'd with the experience
It's very good, but it's still living in a little bit in an older design aspect, but I think a lot of it is about to come out, just hasn't quite gotten there yet. Still a little clunky from a you have to know it to know it or you know it to use it. It takes a little bit of training to get into it. It's not quite the, anybody can come in and start using it immediately, type feel.
Intercom is the premier customer support/engagement model and it definitely has one of the top tier customer support teams as well. I don't think I have ever waited more than 5 minutes to get the information I need or get help with an issue. They are incredible and I aim to model our customer service department after them.
I am not an administrator so there may very well be outstanding Support and I am just not privy to it. On a user level it's hard to gauge the effectiveness and responsiveness of Support because nearly everything has to go through an administrator
We only used the free live chat version from HubSpot, so Intercom is yards better! If I were just comparing an actual live chat between the two tools, HubSpot was often clunky and delayed, and it was hard to find past conversation information
We were previously using an older version prior to it becoming Salesforce Lightning Platform so we were well adverse on the advantages of using a CRM, to begin with. It made sense to convert to Salesforce Lightning Platform after we were given a free trial of the platform. Certain reps were chosen to experiment with it and from there a decision was made to move forward. We've been customers ever since.
New role opportunities — Using the “Fin-first” approach has reduced the workload for our Tier 1 team, giving them more time to focus on their own career growth. It’s also opened the door to a dedicated, AI-focused role, where a team member regularly reviews Fin’s answers and makes updates to help it perform even better.
Enabling Fin has also reduced our response time and allowed us to meet SLA's.