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
Whatfix
Score 9.9 out of 10
N/A
Whatfix is advancing the "userization" of application technology, by empowering companies to maximize the ROI of digital investments across the application lifecycle. Powered by GenAI, Whatfix’s product suite includes a digital adoption platform, simulated application environments for hands-on training, and no-code application analytics. Whatfix enables organizations to drive user productivity, ensure process compliance, and improve user experience of internal and customer-facing…
N/A
Pricing
Fin
Whatfix
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
No answers on this topic
Offerings
Pricing Offerings
Fin
Whatfix
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
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.
All Pricing models are customized and tailor-made according to the customer's requirement.
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.
Currently, we are only using Whatfix with Salesforce but are in the process of implementing on other systems. It is an excellent tool to organize and provide in-app access to training materials already created. It excels at providing guidance about tasks users don't complete often and, therefore, forget what they were trained about the process. The only sort of system it might not work well is one that provides its own robust in-app assistance. More than one type of tip icon being displayed, for instance, could be confusing.
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 possibility to select content/widgets at the time for "push to production" (some we would like to p2p for one single content, that is not possible at the moment).
I wish the filters in the dashboard would stay when you choose a content, currently you have to filter again and again.
In the analytics area, I would like the system to remember this for a certain time window after selecting the start date.
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.
[We feel like] even though Whatfix has its flaws, we are impressed by the speed of development [and] their openness about their future improvements, [but] most important their proactive customer service and customer success team. Whatfix acts more like a partner than a supplier of a 3rd party tool, and we welcome that experience.
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.
While they've made a lot of improvements in the last year, there are still challenges with walkthroughs and how beacons can be created. They are aware of these limitations and are actively soliciting customer feedback to help them remedy these shortcomings.
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.
Whatfix is THE best vendor I've ever worked with when it comes to supporting their customers. The support team is friendly, helpful and always willing to listen to your suggestions and ideas. This also applies to the Engineering team who I've spent several hours on calls with debugging a few of the more challenging scenarios we have in place. Nothing is ever too much trouble for Whatfix and they are truly best-in-class when it comes to their support model.
While helpful, the feedback from our employee was, that [they felt] the training was very high-level - sometimes confusing. It would be great to have some kind of sandbox environment for new users to train certain scenarios.
Although Whatfix make the process relatively straightforward (they will provide Group Policy Scripts to install a Google Chrome extension specific to your organisation) its important to ensure your network deployment teams (if you have more than one) understand their role and what they need to do to test deployment once they undertaken the work.
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.
There is no comparison - Whatfix is the clear winner with us from the very beginning. As Whatfix continues to grow and innovate their product, engage with it's customers on a level beyond any I have every seen. They work as Partners with us, their teams from bottom to top are incredible - Customer Service, Collaboration Teams, Innovation, Sales, Success Mangers and everyone I missed are incredible. One team in particular I want to call out for there outstanding service, care and innovation to help us launch one of our systems is the Professional Services Team. Ganish, Joel, and everyone else who has been on our calls and worked behind the scenes to hit our incredible tight deadline in August - KUDOs for a job well done, You ROCK, THANK YOU words cannot describe how great you guys have been with us on this project, but on all of them. Whatfix's team definitely understands, the customer is first, they align with our values and we will continue to grow with them
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.
Reduced Training Costs: By cutting traditional training time by 40%, Whatfix has saved significant resources while increasing learning efficiency.
Improved User Productivity: Faster onboarding and fewer errors have led to a 25% improvement in user performance metrics, directly contributing to operational efficiency.
Decreased Support Requests: Self-service guidance has reduced support tickets by 30%, freeing up teams to focus on strategic initiatives and cutting support costs.
