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
zeroheight
Score8 out of 10
N/A
zeroheight helps teams create, manage and maintain their design systems. Using zeroheight, designers, engineers, and product teams can collaborate and build design systems that can be easily shared across teams.
$49
month
Pricing
Fin
zeroheight
Editions & Modules
Fin with your current helpdesk
$0.99
one-time fee per outcome
Fin with the Intercom helpdesk
from $19 + $0.99 per Fin outcome
per month per seat
Pro add-on
from $99
per month
Starter
$49
month
Enterprise
Custom Pricing
Offerings
Pricing Offerings
Fin
zeroheight
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
90-Day Money-Back Guarantee
Fin includes a 90-day money-back guarantee. Customers must use Fin in at least 250 conversations during the first 90 days of their subscription following the trial period.
Customers who are not satisfied may request a refund within 90 days of starting their subscription.
Eligibility: Available to high-volume customers handling more than 250,000 conversations per month in North America and Europe.
I can't think of anything off the top of my head regarding less appropriate. However, this product is very customizable. I think with some improvement in reporting it could be better, however, I would recommend due to these types of things. I love the knowledge base and creating those help centers. I would say that it is fairly easy to set up, but once you set it up, not really knowing all the things, it's hard to go back and change, so it would be nice to have an overall idea of guidance prior to the original setup that can just be improved over time.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
For creating and maintaining a component library, it is a fantastic tool that creates an interface between Developers, UX Engineers and Designers. It is easy to get both general information about a component, but also incredibly detailed information when looking at the component on a pixel-level, where information on paddings, margins, colors, fonts etc. can be easily accessed.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
when opening a component image (which opens a new page where the detailed information like paddings and colors are shown), the zoom can only be done by buttons, I'd prefer to be able to use my mouse scroll and for vertical / horizontal scrolling to do ctrl+scroll or ctrl+shift+scroll or something like that
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Intuitive is a very accurate descriptor. Features do not seem to be hidden by poor UI. Things are usually where you would expect them to be, and the UI has been designed to make it pleasant to work within the platform. The platform also scales really well. Both small and large organizations can achieve a great return on investment by using it.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Fin far surpasses these other options in platform features and capabilities. Fin allows for side-by-side use by both the Marketing and Support teams, while none of the other similar products did that well. Most platforms are designed for one or the other, not both.
I have used and still use Sketch and Zeplin too, but they serve other purposes for us. Sketch is used to design the components themselves and they are then exported to Zeroheight where they are showcased and enriched with textual information. Zeplin is used to design application pages, and again the components are exported to Zeplin from Sketch. But Zeroheight is mainly used for the development of the components themselves as well as a documentation for our design guideline in general. It is also used by us for design tokens and patterns, as well as other information on the design guideline, so if someone wants to understand the "why" of a design decision, the explanation can be usually found in Zeroheight too.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
increased quality, as less misunderstandings or communication problems occur
increased speed of development, as it is a single source of truth for us. The developer can rely on the information in Zeroheight being correct so that he doesn't have to iterate his code again and again.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
