Google Gemini vs. Fin by Intercom vs. Verint Intelligent Virtual Assistant (IVA)

Gemini is well suited to help in customer service, to create summaries of emails sent by customers, generating possible responses to them, rephrasing communications, help create and then correct SQL queries, interpreting responses, it's not so good if you need to help with a sensitive topic due to it taking personally identifying information

Incentivized

It's excellent when users often have trouble understanding certain aspects of your product, so you don't have to manually share the same information every time. It's less appropriate if your user problems are user-specific, as then you probably don't have every expected case covered in your documentation, which then requires Fin to have access to your codebase, at which point you might want to consider building your own agent.

The IVA is very well suited to handle routine questions and basic actions that would typically require customer support. It may be a little more challenged handling edge cases but in those instances we have found it provides an easy transfer to a live agent

Incentivized

• Deep research for getting first business research draft from Gemini, post which i use series of prompts to improve it and use my understanding to refine it further
• Canvas to produce structured business topic research and newsletter. Direct edits to the sections and making client ready reports
• Learning mode to get help on step by step automation of AI workflows

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

• Use of Acknowledgment base and AI engines.
• F&Q.
• Automate process such as consults, modifications and cancel reservations.
• Execute triggers for notify customer reservations.

Incentivized

• Currently the document database caps out at 10, requiring us to condense some of our policies
• It's large context window is a blessing and a curse. Sometimes it stops generating half way through a very ambitious request as it delivers page after page of content
• There is no way to share Gems currently, so we have to publish guides to our employees on how to best configure them

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.

• There is minimal documentation around what we can and can't do for IVA
• IVA seems to be a newer product so this is difficult when trying to implement new things
• IVA has a lot of non-Verint friendly terms (Think Prompt, vs. answer or Intent/Alternate vs. context).

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

While I enjoy the IVA product, there is still some fine-tuning of the platform that can be done. There are some nuances to the Verint platform, which can make it difficult to start quickly. We thought business users would be able to easily manage the work needed within the IVA platform for our business; however, with how complex we want to make the experience, that was not possible. We quickly realized we needed more support than just our business users, who were not familiar with how to add API information into a conversation flow. This is why we expanded to others within our business to support the tool.

Incentivized

Google Gemini Web UI provided an intuitive user experience with a collapsible side menu and a recent chat feature. It has a nice, clean design and easy-to-use "Ask Gemini" chat control with an integrated Tool menu that provides quick access to Deep Research and Create images options. One can also search for chats quickly and efficiently.

Incentivized

FIN is easy to set up and pretty quick to get everything the way you need (some things could be handled better), and you can preview how it's going to work before it's available to everyone. Since you can use FIN on multiple channels, you can save a lot of time by not having your team work on multiple chat platforms as well.

Incentivized

It is well suited for employees with technical experience

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

Hootsuite's OwlyGPT is great for social listening data, but Gemini is far ahead in terms of caption writing and other writing needs. Even for content creation ideas, I'd rather take the social listening insights then feed that to Gemini. ChatGPT I truly have never been a fan of. Gemini's interface has always intrigued me more and I find it to have great functionality. Lastly, I included Perplexity - just to note another tool I've used. Perplexity is great for deep research, but outside of this I would always go with Gemini.

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

Verint Intelligent Virtual Assistant had more features and functionality than the Genesys product as well as customization and further options for internal system integration to our existing on-prem systems. In addition, we also had a rapport with other Verint products and were more familiar with their AI capabilities, making them the obvious choice.

Incentivized

• Free way to gain another team member
• Helps me be more efficient and overcome blocks in my workflow
• Speeds up my ability to update our website's calendar by easily double if not more
• Allows me to dabble in areas that I have no expertise in such as coding

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

• Human agent hours operations
• More interactions will be attended by AI agents
• Reducing human agent licensing costs
• Attending more interaction in less time

Incentivized