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
SAP Conversational AI (discontinued)
Score 6.8 out of 10
N/A
SAP Conversational AI was a platform used to build chatbots and digital assistants in SAP integration. Starting January 2023, SAP Conversational AI, SAP’s chatbot building platform has been set to maintenance mode. Existing customers can continue to use the enterprise edition of the product until the end of their contract.
N/A
Pricing
Fin by Intercom
SAP Conversational AI (discontinued)
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
No answers on this topic
Offerings
Pricing Offerings
Fin by Intercom
SAP Conversational AI (discontinued)
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
SAP Conversational AI (discontinued)
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.
They are ideal for creating different chatbots for different business entities. It supports different languages, I can implement it with messaging platforms like Slack, Telegram, and many more...
SAP Conversational AI has been a great help in analyzing common errors in data processing and analytics. It is important to understand scenarios that apply in this situation as information is constantly being gathered, which is where SAP Conversational AI is able to help …
The platforms have similarities in terms of making the organization more data-driven. However, the use cases are different. SAP analytics cloud is used for reporting, deploying dashboards, and scheduling timely delivery of reporting and analytics. SAP Conversational AI is a …
Since Alexa and Teams have their own UI for bots they rank better when it comes to usability and features provided. Voice enablement seems to be a big drag.
We decided to go ahead with this product since our systems heavily rely on SAP already. The integration of data is seamless and can be customized to all needs. We found other competitive solutions to be worse at the data integration, although sometimes they provide a nicer UI …
SAP Conversational AI is on par with Oracle Digital Assistant in most respects assuming you are using SAP Conversational AI with SAP HANA and Oracle Digital Assistant with Oracle Cloud + Oracle Database. SendBird is much better in chat user experience and scaling with number of …
SAP Conversational AI is superior to rule-based solutions because they cannot understand a plurality of words such as synonyms. Rule-based systems may for example search for trigger words like "invoice" or "receipt" and recognize those just as well as the neural (?) models used …
SAP Conversational AI has a better documentation of their APIs. SAP Conversational AI also has a much more active and friendly community with lots of help from the community as well as from SAP co-workers. The integration with SAP (as non-SAP) technologies surpasses that of the …
Google Dialogflow has the same global experience, but SAP CAI is better for non-developers. There is a way better experience in SAP CAI than Ideta, and SAP was also cheaper and easier to deploy.
The Mirosoft bot framework is less user focused and more aimed at developers. I would recommend using SAP Conversational AI in scenarios, where people in the marketing division have to use the bot and implement new questions. For small to medium sized conversations I would …
Conversational AI is a lot leaner than the competition, especially compare to Botpress and Microsoft whose frameworks feel less convincing to managers. SAP also provides key use cases with both their own technologies and third-party solutions and the underlying chatbot platform …
Our scenario was pretty clear. We looked for an enterprise chatbot platform that could support SAP ERP like S/4HANA. Recent features make going with SAP CAI the clear choice for someone who wants to build bots around S/4HANA.
We selected SAP Conversational AI because we are a big group in constant development that invests in technology that is easy to use and has a good support community.
The easy implementation of SAP Conversational AI makes it stand out against any other tool. In turn, the free implementation for a PoC opens the game to give demos to promote its use to potential customers. Recently they launched the web client to implement a bot in SAP Cloud …
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.
It would be most suitable to help you attain swift conversation flows as you engage with your audiences. The bots are also of indispensable value in handling repetitive tasks around the firm such as automated HR resourcing expeditions or marketing campaigns or any other important but monotonous tasks. I however admit that analyzing the bot's performance is quite complex, have an RPA specialist around.
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.
SAP Conversational AI in addition to providing the chatbot features also integrates bot analytics without the need for much setup/deployment work.
It is possible to code SAP Conversational AI chatbot in multiple coding languages (Node.js, Python, PHP, iOS, etc.) that makes it easy both implement as well as integrate with existing IT stacks (eg. Analytics, AI, Databases).
SAP Conversational AI is easy to implement and get it running especially if you are already using SAP S/4HANA Cloud.
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.
Documentation update. Some of the very nice tutorials and docs seem outdated or not SAP-branded, which can be confusing
Fallback channels. The intercom fallback channel has an important lack of speed, and the SAP fallback channel seems complicated to implement in a product development sprint
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.
Chatbots have already acquired most of the market and are still trending with the needs of changing market everyday. It will keep evolving with AI and NLP more to offer for improvements. SAP CAI is a good product to add to an enterprise using SAP ERP Suite
Never had an issue. SAP CAI shares the same platform as any other product hosted on SAP Cloud Platform (aka BTP) and depends on your hosting (US, Europe, Asia). Maintenance modes are planned and customers are aware of it well in advance in order to mitigate potential impacts on the service offering.
It's a pure SaaS platform hosted on SAP Cloud Platform (aka BTP). The experience is pretty much seamless with minimum loadings or noticeable lags. The hosting depends on your location so you may want to make sure the instance is available on a server close to you, such as the USA, Europe or Asia.
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.
Great support from the people of SAP Conversational AI as of the community. Sometimes it takes a little while for folks of the SAP Conversational AI team to answer but this has mostly to do with the overload of questions and users the product has. The gold-support channel within Slack that SAP Conversational AI has, is a great help to distinguish more professional usage and therefore more urgent questions.
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.
SAP Conversational AI has been a great help in analyzing common errors in data processing and analytics. It is important to understand scenarios that apply in this situation as information is constantly being gathered, which is where SAP Conversational AI is able to help provide common issues to be resolved. Data-driven and AI responding is the future of software analysis.
The impact has been very positive for our business objectives. Through the chatbot, our clients can have an immediate response to any of their requests without the need of an intervention of a person or without the use of the telephone or email. Customer satisfaction has been much higher.