I find Fin incredibly useful for supporting customers, as it offers an intuitive and easy all-in-one way to switch between chat, email, and calls with just a few clicks. I can manage multiple conversations simultaneously, which is a big help. The AI assistant is great; it understands our terms and conditions thoroughly and has a knowledge base of past conversations, which is really handy for seeing how similar situations were handled before. The Notes feature is a highlight because it lets me easily communicate with supervisors or coworkers, either to request assistance or to share information.

The process on how I can dial a phone call (not call someone I'm texting) but call someone new is a bit complicated. An icon for a dialer would be great so we can type the number out manually. Instead, we have to pretend to call someone else and delete the number and type out our own number.

I find Fin intuitive and easy, allowing us to support customers through chat, email, or calls efficiently. We manage multiple conversations simultaneously, and the AI assistant, with its knowledge of terms and conditions, provides helpful past conversation insights. The Notes feature helps reach out to supervisors or peers.

These days, Fin is clearly built around AI, and you can see it in almost everything they keep adding. The AI Agent does a lot more than answer common questions. It understands the context of the conversation, pulls information from our knowledge base, follows the workflows we've set up, and can even trigger actions in connected systems when needed. That alone takes a lot of pressure off the team because not every conversation needs a person involved from the very beginning. We also use Workflows quite a bit to welcome new users, answer common questions, route conversations to the right team, and trigger messages based on what people are doing inside the product. One thing I really like is that most of this can be set up without constantly asking a developer for help.

One thing I've learned is that it's easy to end up with too many automations if you're not careful. At one point we realized we had multiple workflows triggering for the same type of user simply because they had been created at different times. Nothing was broken, but it reminded us that reviewing and cleaning up your automation logic is just as important as building it in the first place.

A big part of my job isn't just bringing new users into the product, it's making sure their experience after signing up is just as good as what convinced them to register. Before using Fin, we'd launch a new feature and then wait a few days to figure out how people were reacting. Now we prepare for those launches much differently. We set up in-app messages, help center articles, automated workflows, and the right touchpoints before the feature even goes live. That's probably the biggest change I've noticed. Support is no longer the only team paying attention to customer conversations. Marketing uses them to spot recurring questions, improve onboarding, and fine-tune campaign messaging long before those insights show up in a report. Having that direct connection with users gives us a much better understanding of what they're actually struggling with, and it helps us communicate new features a whole lot better.

Fin is a fast, intuitive AI assistant that helps streamline tasks, understands context well, and boosts productivity—all in one place.

Fin’s main drawback is that it can sometimes misinterpret nuanced requests, and when tasks get very specific it may need extra clarification to get things exactly right.

Fin tackles the time‑consuming, repetitive tasks that slow me down by automating research, summarization, and key workflow steps. As a result, I can work faster, stay organized, and spend more time on higher‑value work rather than getting stuck in manual busywork.

Fin has so many workflows that can be created which are very easy to implement once we learn more about them. It can be easily integrated with other platforms that I regularly use at the workplace, which again simplifies my work and saves time. It seamlessly sends the notifications to the integrated platforms and very swiftly. Also, the important task that Fin does, which is handling customer tickets, calls and emails, is all very organised and user-friendly. Once again, we can set so many rules, we can create a workflow for the tickets and emails as to whom a specific type of ticket or email should be diverted and many more. The AI integration of Fin is very smooth and without any flaws. Very much directive without any complications.

Nothing to mention until this time of my usage.

Mainly the ticket/ email/ call handling is very much organised. I get to see who is working on which one that gets rid of the biggest confusion if the ticket is being taken care of or not. One other main thing is that Workflows/Series (as given in Fin) are very simple to create, with all the necessary steps for any sort of task. Also, marketing emails can be blasted to clients which can be templated or customised as our requirement. With all the mentioned features, it really saves my effort that I have to put into them and also saves so much time. I can also get a real-time status on the tickets, calls being transcribed again helps to get the context of the call.

Fin is a very resourceful and organized AI

The interface is a bit different but it works and gets the job done

Overflow of calls

I really like Fin by Intercom because it frees up time and answers questions for users in a really great way. It pulls from our knowledge base and answers questions really quickly for users. Overall, it's just saved so much time for our customer support team agents to work on other projects. We love the product ourselves, it's something that's in our workflows and we use every single day. It's something we wouldn't want to switch over to anything else, and we'd advocate for it to anyone you asked.

I think it actually does seem to cover a lot of what we needed to do. I guess, if it could make changes for users using our app rather than just answer questions that would be another time saver.

I use Fin by Intercom to free up agent time, allowing them to focus on actual client issues by handling low-hanging fruit. It answers user questions quickly using our knowledge base, saving time for customer support to work on other projects.

I love the control that Fin by Intercom provides during setup, which is much like programming an AI bot. My favorite thing is how it reads all our old chats to generate answers similar to how we would respond. We've been using Intercom for the past 10 years, and there's a lot of historical data for it to parse through. It has significantly reduced how many requests make it to our team by about 20%.

A lot of the features to assess how the bot is doing are considered a Pro tool and an add-on for a fee. For the price we're paying to use Fin, it would be great to have some of those tools (even a basic version of them) included with Fin.

I use Fin by Intercom to handle tier one chat requests, reducing team workload by answering FAQs from help docs, cutting requests by 20%. It learns from historical chat data to provide accurate, similar answers, making support more efficient.

What I like most about Fin is how it integrates the articles and help centre, along with the AI feature. It makes it much easier to find the information I need in a single Fin window, rather than having to navigate back and forth between different places. Performance-wise, it feels very responsive, and the support team has been helpful as well.

There is nothing I dislike about Fin. Fin is a helpful friend of mine and always helps me whenever required.

Fin is really helpful because all the articles and the help centre are integrated on the same page. Whenever a ticket is assigned, it can check whether there’s already an active ticket for the same customer and then provide the relevant details. Also, to help get the ticket resolved, the relevant articles are always in front of agents, making it easier for them to find the required information and support the customer accordingly. Overall, Fin is helpful in every aspect.

I use Fin by Intercom for support and I like it because it is fast and reliable. I have had the chance to write via email and the responses are timely and accurate. Additionally, it was very easy to set it up initially.

For now, nothing

Fin by Intercom solves almost all support issues until I need to switch to a person. I like that it is fast and the responses are timely and accurate, helping me get solutions quickly.

What I like most about Fin is that it actually does the job instead of just pretending to help.

A lot of AI chatbots sound impressive at first, but once you rely on them day to day, they either give vague answers or end up passing everything to a human. Fin feels different. It can genuinely handle real customer questions on its own, which takes a lot of pressure off the team.

I also appreciate that the responses don’t feel robotic. Because it pulls from your own help center and past data, the answers are usually relevant and make sense in context, so customers aren’t stuck reading generic replies.

And when a human handoff is needed, it’s smooth. It avoids that frustrating loop where the customer has to repeat everything all over again, which is a big plus.

Overall, it feels practical: not overhyped, not complicated—just something that actually helps reduce workload and improve response time.

Nothing in particular, but it does sometimes have glitches.

What Fin is really solving for us is the constant flood of repetitive queries. Before, a big part of the day went into answering the same basic questions over and over, which was honestly time-consuming and a bit draining.

With Fin, most of those questions are handled automatically. Instead of spending our time on the simple stuff, we can focus on the cases that actually need attention, context, or judgment.

It’s also improved response times—customers don’t have to wait around anymore because they get answers almost instantly. From a team perspective, it takes a lot of pressure off, since not everything is landing on our plate.

Overall, it makes support feel smoother and more manageable: less workload, faster replies, and we don’t feel as overwhelmed during peak times.