Fin is Intercom’s AI Agent for customer service, designed to deliver high-quality answers, even for complex queries. It works with any helpdesk, or it can be paired with Intercom’s next-generation Helpdesk to get the full Intercom Customer Service Suite.
$0.99
one-time fee per 1 resolution
Rasa
Score 6.0 out of 10
Enterprise companies (1,001+ employees)
Rasa is a conversational AI platform from the company of the same name headquartered in San Francisco, enabling enterprises to build customer experiences. Rasa’s platform was built to create enterprise-grade virtual assistants, allowing personalized conversations with customers - at scale. Rasa’s conversational AI platform allows companies to build better customer experiences by lowering costs through automation, improving customer satisfaction, and providing a scalable way to gather customer…
$0
Pricing
Fin by Intercom
Rasa
Editions & Modules
Fin with your current helpdesk
$0.99
one-time fee per 1 resolution
Copilot add-on
$35
per month per user
The Early Stage program
$65
per month (6 support seats)
Proactive Support Plus add-on
$99
per month
Fin with Intercom’s Helpdesk
from $39 + $0.99 per Fin resolution
per month per seat
Developer Edition
$0
Growth
starting at $35k
Enterprise
Contact Sales
Offerings
Pricing Offerings
Fin by Intercom
Rasa
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
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:
Use Fin in at least 250 conversations within the first 90 days after trial. If you're not satisfied, you can request a refund of up to $1M. Refund requests must be submitted within 90 days of starting the subscription.
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More Pricing Information
Community Pulse
Fin by Intercom
Rasa
Considered Both Products
Fin by Intercom
Verified User
Anonymous
Chose Fin by Intercom
We're using another AI agent too. Fin AI is a little behind, as it needs to start learning from either testing or real conversations, so it can better advise users with accurate information - whereas the other AI agent is learning very fast and needs little to no adjustment of …
I did not choose which platform our support teams used. But I did not like NetSuite because it sent out a lot of email updates and required the client to reply to the correct email in order to have everything tracked. ServiceNow was pretty similar. The reports in ServiceNow …
I used Zendesk briefly but found it difficult to navigate — I often couldn’t tell what was going on or how to simply reply to a ticket. In contrast, Intercom is much more intuitive and user-friendly. Its clean interface and support for multiple communication formats like …
As explained previously, most of these platforms were focused on tickets, most reports only work with tickets, there is no way to postpone a service without turning it into a ticket, and since our response time target is a maximum of 2 minutes, these platforms were unable to …
It was a long debate before we switched from Crisp to Intercom, but we never regretted that decision. Intercom looks and looks sleeker, works smoother, and has the knowledge base feature, which was our main need to switch. The transition took very little time, so no bumps on …
Way better than all of them - especially the workflow tool which I don't think Help Scout or Crisp even had. Really easy to manage capacity too through snoozing conversations and customers receiving emails after a response.
With HubSpot, there was no way for our users to return …
My main concern at the moment is how the integration looks to the users and Intercom just looks modern and up-to-date. HubSpot is missing this. In the background it always comes down to how you organize your team and processes.
Odoo was, in my opinion, terrible - a jack of all trades and master of none, which is why all teams in the business moved away to bespoke software. Freshdesk - an easier and more organisable way of creating and managing tickets. Although Intercom now has tickets, we're still …
At the moment, I only use Supademo to record screen tours. It is very intuitive, has a browser extension, and is perfect for recording the onboarding of new features.
Intercom as a tool is well suited to manage our key metrics with the help of its reports. We have evaluated a lot of tools but Intercom remains the best in terms of report. It helps us maintain OKR's for the support team and track whenever needed. FinAI also has the reporting …
The intercom is more intuitive and provides easier management and personalization of our conversations. It's been a while since I used Zendesk, so this might have changed, but Intercom provides a bigger catalog of functionality targeted to product marketing, such as emails, …
To compete with Salesforce, the main point is the pricing. Intercom has a very different budget when it comes to start ups and up and coming companies, which helps. To compete with other platforms, Intercom has a more developed interface and a super completa arrange of tools, …
Several factors as pricing, customisation, ease of use, popularity, user-friendly and the continuous online support as well improvements helped us make this choice. Onboarding new colleagues to Intercom does not even take one day, it is so efficient and intuitive. If the …
All tools that we used in the past, have a lot of problems on the chat app, our the syncing data between integrations, Intercom has too, but is very less than others.
We used Aircall for many years and it was a great tool, however as we scaled down our phone support usage it became expensive and cumbersome. Intercom phones offered a cheaper solution that turned out to be more efficient for our team to use as well.
The NLU algorithms are more efficient in Rasa. Creating conversations is much easier. In IBM, the more use cases we created, the more complicated it was to up date the entire model. It was quite common to mess up what had already been done.Rasa has greater scope for use with …
Glean - proprietary semantic search algorithms, no backend actions integration IBM Watsonx - complicated dialogue builder, poor separation of no-code and pro-code interfaces ELMOS (agent based) - all logic in code, no dialogue logic in no-code interface possible
While Fin is an awesome investment, the setup and tuning of responses to meet brand alignment and delivery have taken some time. If you prioritize not just resolution rate and accuracy, but style and delivery, it's a bigger lift. However, for the vast majority of businesses, the step and its impact on resource management are a worthy investment.
I have been using the platform for over 3 years and I have noticed a very good evolution, in an attempt to reinvent themselves. The support team is amazing, always available to work out with us in achieving the best results. About the technology, the algorithms available in the platform suits most of the cases. Being language agnostic is a very positive point for us, because some big tech platforms have little support for PT-PT language.
Great UI - everyone has their own inbox but can still see all incoming messages.
Fin AI - we love the AI functionality, it saves tons of time of the team.
Automated emails - we configured Intercom in a way that it uses a lot of information we have about our users (e.g. their subscription, date of upgrade, etc.) so that we can use it to automate communication.
Some things are repetitive. Ex: If you provide guidance to ask a follow-up question, it'll ask that follow-up question each time.
It'd be cool to have a "vibe" check for auto-sorting. Ex: We have responses to our outreach feed into Intercom. It'd be cool to have a way to auto-sort based on if they ask a detailed question or just a plain "interested" response.
It'd be cool if Fin by Intercom flagged conversations, like it a customer seemed agitated, for the team to review.
Rasa CALM flows and Rasa domain could be made fully independent of the Rasa training process and dynamically retrievable from e.g. a graph DB. This would make the chatbot more flexible.
Prompt templates, or at least paths could be referenced in Rasa config. Different policies in the Rasa config could then be configured without code change to use different prompt templates
LLM configuration should rather be part of the endpoints, than model configuration.
Rasa Studio could support all the functionality of Rasa Pro.
It's currently a perfect fit for our needs, and we are customer-focused and small. When we grow, we may need to re-evaluate, but our current team finds it easy. Reviewing conversations is simple and allows for great training. The canned replies make service fast and easy. Smart suggestions remove the need to re-write technical walkthroughs and explanations for our FAQ
It takes a bit of getting used to. It's easy to start off with simple pieces of answering queries, etc. The real part is when one tries to use workflows with triggers and automation. Then, it can be a whole different experience. I would love to see it being much simpler in terms of usability there.
With the help of dedicated team - documentation and video resources it is relatively easier to build. We prioritized pro-code usage to begin with launch.
Intercom is the premier customer support/engagement model and it definitely has one of the top tier customer support teams as well. I don't think I have ever waited more than 5 minutes to get the information I need or get help with an issue. They are incredible and I aim to model our customer service department after them.
Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented
In my experience, what Intercom has done with Fin by Intercom is far more innovative and forward thinking than other tools I've used. It's intuitive, easy, and they are always releasing new things to make Fin by Intercom even more powerful.
Glean - proprietary semantic search algorithms, no backend actions integration IBM Watsonx - complicated dialogue builder, poor separation of no-code and pro-code interfaces ELMOS (agent based) - all logic in code, no dialogue logic in no-code interface possible Rasa - transparent and simple sharing of objects between no-code and pro-code interfaces. Transparent LLM usage and restrictions. Simple backend integration via Rasa SDK