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
Joule
Score 8.1 out of 10
N/A
Joule is an AI copilot that’s grounded in an organization's business data and infused with AI agents. It proactively assists employees in every cloud application they use while automating complex processes.
N/A
Pricing
Fin
Joule
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
Joule
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
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.
Joule Base
Joule Base is a no-cost entitlement of SAP cloud products that enables teams to navigate SAP systems more easily, find the right information more quickly, and complete everyday tasks faster.
Joule Premium
Joule Premium extends Joule Base with more powerful AI, including advanced Joule skills, premium embedded AI scenarios, and Joule Agents. Joule Premium capabilities are accessed through the purchase of AI units. Visit the pricing page linked above to learn more about Joule Premium capabilities.
Fin is fantastic at answering simpler inquiries, where the range and types of questions are easier to categorize. Thereby reducing the subset of possible answers. Where it has shown great improvement - but still needs more improvement - is by becoming a true Agentic AI support engineer that is capable of answering more technically nuanced questions. Our product has a lot of variables used for troubleshooting that cannot be adequately captured in documentation. Even though we provide thousands of pages of spec docs, each issue is unique. Training and empowering Fin to be as good as a Level 1 support engineer is still very challenging.
Joule explained ATC findings, including root cause, business impact, recommended APIs, and examples of fixes for S/4HANA readiness checks. Joule today is a point-in-time assistant — great for one question, one generation, one explanation at a time. It is not yet capable of owning a full development flow.
Users can prompt Joule to create business partners in MDG.
The change process for Business partner (Customers/Suppliers) updation is made easy, particularly for updating data such as address and communication details.
The workflow process has been simplified by Joule agents, such as identifying the high-priority task and sharing it with the end user.
Improved data quality to almost 30%~50% in the CR creation process, which is a significant milestone for us.
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.
In SuccessFactors Joule should have more tools out of the box.
There should be more examples on what is possible to do with Joule or Joule Studio in Successfactors, all available examples seem to focus only on Payroll or Inventory management leaving the HR behind.
Document Grounding should be easier to implement, and should be possible to have some kind of permissions per couuntry / user group for specific documents. The implementation with Sharepoint makes it harder to complete because normally we need some extra team to join and help and until now, I always had issues implementing it. I believe that it would make it much easier if the documents could be stored and managed inside SuccessFactors.
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.
As we explore, we can learn more. As i believe, we can only learn to live and live to learn stuffs. So as well AI does the same and improve itself. By trying and prompting joule more, we can use it in better ways. I would definitely wait and use the new versions shared in SAP Teched on Joule with more LLM involved
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.
I would rate Joule’s overall usability a 10 out of 10 because it makes interacting with SAP incredibly simple, intuitive, and fast. The conversational interface removes the complexity normally associated with navigating SAP modules, running transactions, or building reports. Even non-technical users can get meaningful insights within seconds just by asking natural language questions.
as its cloud based, as of now, we see it available all the time and havent faced any issues while accessing. Not sure if this has high availability and Disaster recovery features got set up already with the default version that we are using at our organization. no issues so far.
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.
Usually support for Joule takes longer than normal, and the correct answer always takes a long time to get, or we just don't get it at all, and we fix ourselves.
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.
Joule is better because it doesn't take only data available on the web, but combines that with data provided directly by the game publisher through API to us which includes every single match played = all data points from all of those matches. That means that for us Joule gives deeper insights than any online AI chat agent could do
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.
