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Fin by Intercom

Score8.7 out of 10

1,042 Reviews and Ratings

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What is Fin by Intercom?

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.

Media

Fin, delivering conversational support experience to customers.
where to monitor, analyze, and optimize Fin by spotting trends, filling content gaps, and fixing quality issues topic by topic.
where to customize Fin's tone of voice, teach it support knowledge and policies, and configure how it handles complex tasks in over 45 languages.
where to test answers, review the sources and settings that shape them, and get tailored recommendations to optimize performance.
Fin, as it appears across email and live chat to phone, SMS, and social. Fin can answer any question, across any channel, any time.

1 / 5

Fin by Intercom is the best AI chat solution on market

Use Cases and Deployment Scope

At EOS One we use Fin for all of our Tier 1 questions.

We're a small team of 2 individuals, and Fin has come in and really been able to take a load off of answering the basics.

Like with any AI bot, your experience is only as good as your data. Fin helps us identify where in our Knowledge Base we have gaps so that we can quickly update or create articles.

Doing this, we've had high 80's to low 90% defection rates each week. We've also had several people give kudos, knowing they're talking to an AI bot but being satisfied doing so!

To anyone looking, don't "cheap out" on the solution. Get Fin. Fin is a game changer.

Pros

  • Explains step-by-step with pictures
  • Multi-language support
  • Flags knowledge gaps for the team
  • Understands when to escalate to a human

Cons

  • Escalate to human (sometimes it tells people to email us, while in a chat it could pass to us)

Return on Investment

  • CSAT - Fin is currently holding an 83% CSAT over the last month
  • Reduced Tier 1 workload on the team—we had a lot of "easy" questions being passed to expensive people.
  • 24/7 response time. We have a global product, but a small team, so Fin helps us answer questions at all hours of the day.

Usability

Alternatives Considered

Zendesk Chat and Chatbase

Other Software Used

Pendo.io, Metabase, Twilio SendGrid, Auth0, Stripe Billing, Atlassian Jira, Maxio, Google Gemini

Great tool for Community Managers

Use Cases and Deployment Scope

We use Fin by Intercom to manage daily customer communications via chat, as our public help center, and as a proactive engagement tool. Fin by Intercom helps us answer basic questions for users, and provides them with a channel that is active 24/7, which is important since our human team is small and not available outside of standard working hours. Fin by Intercom is also a great way for us to monitor customer wants and issues. Some users will ask Fin questions they aren't comfortable asking our team directly, and it can help us find gaps in our tool or knowledge/education for users.

Pros

  • Basic answers to common questions
  • Robust help center that is easy to navigate for users
  • Simple ticketing process that allows users to report bugs or submit product requests and see status updates from our team

Cons

  • Being able to give Fin by Intercom explicit instructions on when to say or do something... guidance sometime works but not always
  • Ability to set clear holiday hours so users know the team will not get back to them without having to change existing workflow/intro copy. When Fin by Intercom escalates during a holiday, it often shares the wrong "expected response time is"
  • Being able to see last month's usage numbers would help us track plan utilization better

Return on Investment

  • Fin by Intercom has freed up time for community team on repetitive questions which supports more time in other areas
  • Overall engagement with users has increased due to the chat function

Usability

Alternatives Considered

HubSpot Marketing Hub

Other Software Used

Slack, Asana

FIN - the 1 of Service Agents

Use Cases and Deployment Scope

Users of a product expect the product to be so intuitive that they can skip any training. This results in frequent situations, where they don't know the best course to continue and want help. And help should always be there immediately. And not as part of a FAQ, they want a personalized response to exactly their situation.

FIN resolves exactly that. It knows all our documentation and can guide customers through any situation, using words the customer understands and prefers. It has unlimited patience, answering multiple follow ups or different inquiries without complaints. Our users love chatting with FIN to get all their questions answered, which reflects perfectly back on the customer satisfaction and also influences "ease of use", as if anything is not intuitive, FIN is there to help.

Pros

  • Understand customer question and relates it to the correct knowledge
  • Has great customizing options for personalisation, guidance and brand voice
  • Great transparency on costs for usage and easy to adapt
  • Consider the full spectrum of customer inquiries and provide solutions for all
  • Uses AI not only to serve the customer but also to highlight optimization potentials internally.

Cons

  • FINs language detection is very strange and frustrating. We have almost only German conversations, but frequently FIN decides to respond to English to a customer, without any visible reason.
  • The channel switch from Conversation to Email feels unsatisfying, with surveys being sent without any context.

Return on Investment

  • Resolution Cost (it is cheaper than human support) - HOWEVER People start to ask more questions to AI than to a human, which increases costs again
  • But with more questions we also see customer satisfaction and customer stickiness increases. If they find help for every inquiry, they are less inclinded to judge the product as "too complicated".
  • Response times are drastically reduced. You dont need to wait for a free agent to ask the customer for more details or a specific document, but FIN asks all in real time, allowing customers to immediate get a response. Also, FIN works 24/7, which replaced our whole nightshift and weekend worker slots.

Usability

Effective Starting Point for Resolving Queries.

Use Cases and Deployment Scope

It serves as the first point of interaction with visitors and users. Having access to the knowledge base and previous conversations, it tries to answer or offer a solution to the issue reported.

Pros

  • Serves as the first point of interaction.
  • Answers questions based on the knowledge base.
  • Tries to suggest a solution for reported issues (in some cases).
  • Gives the option to improve its answer.
  • Learns from other conversations and replies by humans.
  • Understands other languages.
  • Interprets images (somewhat).

Cons

  • AI suggestions for human agents can be improved.
  • Avoid auto-closure of conversations.
  • Human agents should have an option to assign conversations back to Fin so that it can answer any future questions from that user.

Return on Investment

  • Reduced initial response time.
  • Reduced resolution time (in some cases).

Usability

Other Software Used

TestCollab, Atlassian Jira, Slack

Great partner that super charges your customer service team

Use Cases and Deployment Scope

Fin by Intercom enables 24/7 customer service coverage and provides many answers without requiring several global live agents. It gives our customers confidence that they will never be without a connection or an answer to their questions or concerns. The feedback it provides on its own success helps us craft content to feed Fin by Intercom and make it even better, with step-by-step instructions and screenshots for greater depth and clarity.

Pros

  • Learn to provide step-by-step instructions
  • Ask more upfront questions to get more clarity so agents are ready to pick up the conversation
  • Handing off to agents when it can sense frustration or not having the correct knowledge

Cons

  • Setting up workflows are not easy to do and have some limited scope
  • Making repeated suggestions should be easier to contain
  • It would be great if it could identify other tickets that may have similar issues or identify Linear or Jira tickets that may be relevant
  • Prevent service agents from making duplicate customers of the same name or even close misspelled names - it makes for very dirty data
  • Make suggestions for tagging conversations to rely less on the agents to do clean up

Return on Investment

  • Quicker response to many simple questions
  • Less dependency on agents to solve every call
  • Giving us guidance where our documentation needs to be improved and added to
  • Understanding trends across many conversations and which issues are more critical

Usability

Alternatives Considered

Zendesk Chat

Other Software Used

productboard, LaunchNotes, Linear App