Fin vs. Ruby Virtual Receptionist Services

A prospect lands on my site to ask about building profile sizes, wind/snow ratings, installation timelines, or warranty coverage.
What Fin does well is deliver instant, consistent answers, pull from approved specs and positioning, and keep the conversation moving without human involvement.

Incentivized

Ruby Virtual Receptionist Services is well suited for a business that needs call screening and message-taking services. The service is expensive but if the user is willing to put a lot of time and effort into planning and scriptwriting, as well as call handling instructions, it may work well. Also, if there is not much information that must be captured by the receptionist, I feel this may be a better fit.

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

• Call-out request "personal assistant services."
• Ruby Receptionist app.

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.

• Clarity in billing.
• Shortened hold times.
• Less transfer time from call to receptionist (between English and Spanish).
• Better training of receptionists to prevent certain things from being said to clients - decreases client confidence.

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.

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 switched over from Answer First to Ruby Receptionist because we wanted a more full-service answering service. We wanted to be able to call out using our business number as well as text in and out. We also really liked the "call-out request" feature as it freed up our time and allowed Ruby to handle minor client communications, etc.

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

• Increased efficiency.
• NEGATIVE ROI.

Incentivized