Fin vs. Jeeva AI

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

If anyone is looking to pile up the list of email lists to send out e-blast or cold messages, I would highly recommend Jeeva AI. However, if anyone needs more of organic work, I would recommend using Jeeva AI to collect contact information, but do the work manually.

• 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

• Finding specific leads according to descriptions provided
• Allowing customers to experience Jeeva AI by offering free credits
• Following up with leads

• 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.

• You run out of credits very fast, they charge per email sent. The credits should be for lead generation not emailing.
• Incorporate delivery results, bounce results, mailer unfound results, etc... We can not see any of those metrics.
• Incorporate a text sequence campaign as well. To be one stop shop for contacting all ways.

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.

Jeeva is composed of individual products / features that form a robust, automation-based, outbound system when combined. Parts of the tech stack within Jeeva itself – can be difficult to work with independently. Some of what the individual products provided makes you ask why? Why was this individual product / feature implemented

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

Jeeva AI is less straightforward than Sales Nav. It seems that it is trying to be everything that Sales Nav is, but not quite achieving it yet. The customer service for Linkedin is far superior to Jeeva's. Jeeva's team refused to give me a refund on my first month's subscription despite their refund policy clearly stating that I was entitled to it. This has never happened before with Linkedin Sales Nav.

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

• We just started and was great for lead generation
• Those leads we can manually email them or call them
• Our sequence campaigns are barely 1 email in, looking forward to see if we get any traction on the last 2 sequences