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
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:
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.
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.
It's great for a web-enabled tool, so there is immediate ability to give feedback or ask questions. It isn't as easy to set up a desktop application as it would require more coding experience. Some older users are skeptical of its abilities, and that it is taking away from customer service, but in our use, it enhances it - that is a tough barrier to breach.
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.
Answering simply queries that can be gotten from information in our help articles - powering self-serve for our customers.
Helping us triage and analyse customer queries by understanding key custom attributed of a conversation and key data points to help us route customers to the right team.
Through automation, helping our teammate be more quick and efficient in resolution times and SLAs.
SAP has helped me manage my teams cost in material management.
SAP Conversational AI has provided with the goal of developing bot analytics to respond to common user face issues when reporting troubleshooting issues with software equipment as well as technical equipment.
Has helped deploy new bots to increase response time to employees who require assistance with ordering equipment software as well as application development in software ordering.
If I can see that our Fin involvement/resolution rate has increased in one week, it would be great to see the theme of conversations it's resolving, rather than having to dig around to see why there was an increase.
Sometimes the hand-over functionality doesn't work as well as it could, and often Fin errs on the side of resolving the conversation (which I understand because we're charged per resolution), but this can be frustrating to have to sift through and dig these customers back out.
SAP can certainly provide better and more clear documentation on how to customize and deploy the chatbot/use SAP Conversational AI.
There is lot less developer community around SAP Conversational AI so it is hard to get help from outside developers and experts on best practices, hacks and existing applications/integrations.
It is hard to use SAP Conversational AI outside SAP S/4HANA Cloud, for example on AWS or GCP or in a multi cloud environment.
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.
The usability of Fin by Intercom is intuitive and easy to use. When I used it for the first time, it didn’t take me long to understand how the platform works and how to set things up. It also provided helpful guidance, and there is a Fin bot that you can use to learn more about the platform and ask questions.
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.
Fin definitely stacks up pretty much at the same level when it comes to leveraging the input data KB to address customer queries. However reporting flexibility is something missing compared to the two mentioned platforms. The categorization of issues is much easier and accurate making it further analysis less time intensive. Why we selected Finis a difficult question for me to answer as the above platforms are from my previous company and when I moved to my current role Fin was already in place.
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 more front-end product that end users can directly use to navigate the web application better. Both have strengths in their respective areas. Conversational AI is more recent and cutting edge.
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.
