Fin is an AI Agent for customer service. It automates complex queries, improves resolution times, and delivers consistently high-quality support at scale.
$0.99
one-time fee per outcome
Verint Knowledge Management
Score 8.6 out of 10
N/A
Verint Knowledge Management aim to help agents find and share the information needed to answer both customer inquiries and questions they may have themselves. The solution helps ensure the answers agents access are consistent, up to date, and easily accessible.
N/A
Pricing
Fin
Verint Knowledge Management
Editions & Modules
Fin with your current helpdesk
$0.99
one-time fee per outcome
Copilot add-on
$35
per month per user
Pro add-on
$99
per month For analysis of 1,000 conversations
Fin with Intercom’s Helpdesk
from $39 + $0.99 per Fin outcome
per month per seat
KM Professional
Contact Sales
per year Per Interaction
KM Enterprise
Contact Sales
KM Enterprise
Contact Sales
per year Per Interaction
Offerings
Pricing Offerings
Fin
Verint Knowledge Management
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Fin comes with a 90-day money-back guarantee. Here's how it works:
Intercom states that users who sign up for the Fin Guarantee Success Program and do not achieve at least a resolution rate of 65% will be paid $1M. This program is designed for high volume customers.
Eligibility criteria:
High volume customers (over 250k monthly conversions) in North America and Europe. Intercom states that phase one of this program will admit customers on Intercom Helpdesk or Zendesk.
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.
Verint KMS is great for organizing content by categories for different teams and by different topics. It is easy to search and the Related Content makes moving from one piece of content to the next relevant piece quite easy. On the authoring side, the ability to schedule publishing or expiration is very handy. It is also really easy to make edits and have content ready and published for readers quickly. Verint's KMS isn't well suited if your users wish to be able to organize their favourited content or if you need a wide-range of options on the authoring end of things.
The tools to submit and manage user feedback are very effective - they help us respond quickly and interconnect the feedback to the applicable content.
The end user experience is clean and feels familiar, making it optimal to support a group of people who generally have never experienced a KM application before.
Our audience responds well to our ability to insert images, GIFs, videos, PDFs, and more into our content.
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.
The authoring side could be improved with additional options for fonts and easier formatting for table content. I have issues with trying to add colour to one portion of a table and not the other, so I have to resort to creating in Word first and then copying over to Verint. There is also no option to create steps in one row and the next step in the next row. I end up just adding 1., 2., etc. manually.
Many users would like to be able to organize their bookmarks into folders and the system doesn't allow this. Many have taken to creating bookmark folders in Microsoft Edge instead.
There were a few bugs that went on for a few months that made the initial launch of the KMS more difficult for the users and on the authoring side. The issues were with how the search results came up and what displayed for related content. It wasn't the best first impression for our agents using the system while on calls and made it more difficult. The issues were fixed after a few months of use.
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.
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.
Verint KM has many features that - when used the 'right way' can expedite search, content usage, and maintenance. Unfortunately, not all end users want to be bothered with 'the right way' and are looking for simplistic and predictive options (which any KM solution would be hard-pressed to deliver).
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.
The support and development teams for Knowledge are exceptional. They are attentive and truly care about the experience of their customers and their goals
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.
All of these tools were very useful and practical. For our decision, it came down to understanding our core audience - we determined our average associate was largely unfamiliar with call center and office work in their prior work experience, and as such they would not have previously worked in a KM application before. To help adoption, we sought the solution with the simplest and most familiar interface, and based on internal focus group feedback, that was Verint KM Pro.
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.
Content is easier to keep up to date and publish on an urgent basis.
Some users love the system, while others still find it difficult to find the information they need and miss the former guides we used. I think this is a result of the system issues that persisted for a few months after launch and will hopefully improve with time.
Users love being able to submit feedback and it makes it easier for errors, missing information and out of date information to be caught and fixed.
