IBM offers watsonx Assistant, an AI and natural language driven chatbot designed to allow anyone to deploy a chatbot in an app or website.
$0
per month
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
IBM watsonx Assistant
SAP Conversational AI (discontinued)
Editions & Modules
Lite
$0
per month
Plus
$140
per month
Enterprise
Contact for pricing
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Offerings
Pricing Offerings
IBM watsonx Assistant
SAP Conversational AI (discontinued)
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Billing for the use of Watson Assistant is managed through an IBM Cloud® account. The metrics that are used for billing purposes differ based on the plan type. The plan can be billed based on the number of API calls made to a service instance or on the number of active users who interact with the instance.
Watsonx Assistant is distinguished by its ability to understand natural language and its ability to adapt and learn over time. This allows for a more natural and personalized interaction with customers, enhancing the user experience. In addition, Watson Assistant offers a wide …
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.
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 …
I selected CAI because it performs better in the NLU, plus the connector is super easy to use. I haven't tried the bot builder but I saw it's super intuitive, which is great for linear conversational experiences. Also the pricing model allows us to try it risk free with the …
In scenarios requiring highly specialized technical support, where deep domain expertise is necessary, a virtual assistant may lack the specific knowledge needed to address complex technical issues, It's important to note that the effectiveness of virtual assistants depends on factors such as the quality of training data, customization, and ongoing improvement efforts.
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.
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.
Watson Assistant requires some improvement in the way it deals with multimedia content when displayed on the assistant. As of now, IBM Watson Assistant has issues displaying technical diagrams on a small chat window. This is definitely something that needs some improvement.
It is sometimes hard and time-consuming to create some advanced actions while creating the virtual assistant so I suggest that the IBM Watson Assistant development team would work on creating sample templates for some simple to advanced actions according to industry to help kick-start the process of creating the initial virtual assistant.
IBM Watson Assistant is great, but it is not magic on its own; it requires more extensions which, in my opinion, are very limited to a few possibilities. Enhancing the extensions with other products, including open-source solutions, ought to be a priority for the Watson Assistant development team.
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.
Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library.
IBM Watson assistant has come a long way in last few years, and is handling the generative AI chatbot building really well. It is of immense importance to sales strategists like me who are average in coding but have real world cases of lead qualification for sales. IBM Watson is also very intuitively designed with the amazing drag and drop feature. Testing is easy, deployment is pretty straightforward. I could have worked with a little more sales support, but then the whole point of making a conversational AI chatbot is to reduce the sales support intervention - so I guess I will live with that
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.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
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.
We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).
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.
IBM Watson Assistant provides a highly intuitive and user-friendly interface, making it accessible to non-technical users to easily create and deploy conversational agents. Additionally, being a cloud-based platform, it eliminates the need for manual retraining of the bot after each modification, saving time and resources for businesses. This combination of user-friendliness and automation makes watsonx Assistant an ideal choice for building conversational agents at scale.
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.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
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.
