Fin vs. Gorgias

Fin is fantastic at answering simpler inquiries, where the range and types of questions are easier to categorize. Thereby reducing the subset of possible answers. Where it has shown great improvement - but still needs more improvement - is by becoming a true Agentic AI support engineer that is capable of answering more technically nuanced questions. Our product has a lot of variables used for troubleshooting that cannot be adequately captured in documentation. Even though we provide thousands of pages of spec docs, each issue is unique. Training and empowering Fin to be as good as a Level 1 support engineer is still very challenging.

Gorgias is one of the easiest platforms I've used, as it was easy to navigate. You can customize your views so you can easily track them. The shared views are also specific and convenient. The search button is also one thing I like, as it easily shows what you're looking for with just keywords, email addresses, or any information.

Incentivized

• It is very easy to train
• It does a great job of recommending answers when little context is given.
• I love the ability to create a snippet to address issues in the moment or in the long term, based on FAQs.

Incentivized

• Tagging- the tagging system was a great way to stay organized.
• Rules- when you have 49 inboxes implementing rules on when to fire a macro or auto tag is necessary and Gorgias’ UI was easy to understand and execute.
• Integrations- I had to integrate with dozens of inboxes many times using aliases and most of the time Gorgias was able to help.

Incentivized

• 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.

• Rules are powerful, but clunky, showing them to others can put them off as it looks "easy to break" because of their messy nature.
• Pricing seems to be increasing due to the inclusion of more advanced AI that currently does not provide value.
• Macros could really use contextual support, or a hotkey system to make it easier to pick highly used ones that aren't in the top 3.

Incentivized

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.

Incentivized

The platform is overall clear and intuitive. As with any new platform, there's a learning curve, but that wasn't an issue for our team (and it shouldn't be an issue for others). Fin options are scattered across several submenus, and I'd like them grouped together, but I also like having all those training-related tabs open at all times, so it's not much of a real issue for me.

Gorgias is still by far most the most complete customer service tool to handle multiple responses and channels at a single umbrella without the needs of opening multiple tabs and sometimes will even make us missed some messages what supposed to be taken care of at a timely manner

Incentivized

always there

Incentivized

works perfect

Incentivized

I can get help by asking Fin questions about itself. It answers accurately, citing its own Help Center resources with visuals. It can reason and dialogue well. But when it comes to getting human support for Fin, it is not as quick. It can sometimes take a few days. They are polite and well-meaning. Some things aren't their fault (product limitations), but there was one occasion where something took a long time to resolve with lots of back and forth but it was I who found out the error in the end that they missed, so they didn't really help resolve it.

Incentivized

Easy to know the learning path

Incentivized

The implementation was surprisingly easy but we are having to adapt from our old process to work well with Intercom.

Incentivized

There are so many AI platforms available, and you could theoretically build a system using the available AI API's from any of the big platforms. However, I dont think it's as easy as this. Intercom is deliberately built for customer service, the features they are releasing a based on providing the best customer experience. If we were to build this ourselves or to use another platform we would be taking on the upkeep, using Fin is just much simpler as it's also our chosen ticketing platform so anything that Fin is not able to answer yet and escalated directly to our team with no extra effort required from our side.

Incentivized

We selected Gorgias from Zendesk based on its Shopify integration. Given how many stores we were managing the team needed to quickly find all of a customer's information in an email. We preferred it to Zendesk. However, now that I use intercom I have many more features such as surveys, topics, extensive reporting, auto tags, and series I prefer intercom for my work now

Incentivized

• 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.

Incentivized

• Drastically reduced our response time from 2 business days, to 2 hours on average.
• Made it easier to sync data for damaged item, allowing us to better understand damages.
• Allowed us to easily see that statistics of what kind of issues we are seeing from our customers.

Incentivized