Swift conversation and Smooth automation
We use SAP conversational AI to set up multifunctional bots to work on the repetitive tasks in the firm. We largely use the bots, and …
Overview
What is SAP Conversational AI (discontinued)?
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…
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What is SAP Conversational AI (discontinued)?
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…
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Product Details
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- Competitors
- Tech Details
- FAQs
What is SAP Conversational AI (discontinued)?
SAP Conversational AI was a platform used to build chatbots and digital assistants in SAP integration, and to create AI chatbots from scratch to automate customer support, IT service or buying journey. 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.
SAP Conversational AI (discontinued) Features
- Supported: Ease-of-use
- Supported: Proprietary natural language processing (NLP) technology
- Supported: Support for multiple languages and voice activation
- Supported: Full integration with SAP portfolio and non-SAP solutions
- Supported: Leverage data analytics
SAP Conversational AI (discontinued) Screenshots
SAP Conversational AI (discontinued) Competitors
- IBM watsonx Assistant
- Heyday AI
- ORAI Robotics
- Termi
- CREALOGIX Conversational AI
- Microsoft LUIS
- Google Dialogflow
SAP Conversational AI (discontinued) Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Countries | Global |
| Supported Languages | English |
Frequently Asked Questions
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.
IBM watsonx Assistant, Heyday AI, and ORAI Robotics are common alternatives for SAP Conversational AI (discontinued).
Reviewers rate Support Rating highest, with a score of 6.5.
The most common users of SAP Conversational AI (discontinued) are from Enterprises (1,001+ employees).
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Reviews
(1-11 of 11)Companies can't remove reviews or game the system. Here's why
We are building proof of concepts in the context of ERP and CRM softwares. It is a great platform to easily build and showcase what chatbots are, how it helps customers building a new communication channel for their users, and simplify the user experience even for complex business processes. Being able to integrate Conversational AI with non-SAP products is also a winner.
- Intuitive interface and very lean building process.
- Non-SAP integrations and "open source" feeling.
- Frequent updates and changes.
- Active community.
- Missing capabilities compared to other competitors.
- Difficult to understand its positioning after SAP bought RecastAI.
- Lack of concrete use cases when presented to the SAP community.
We are using SAP Conversational AI to develop intelligent personal assistant for B2B and B2C which serve to day to day business problems to reduce dependency on live agents etc. SAP Conversational AI is a very effective and efficient platform to build chatbot as it includes very less coding to achieve simple logical solution to a problem as compared to other platforms. It has good exposure to various useful channels like Microsoft teams, Facebook etc. and has a prospect for fallback channel to live agent connectivity as well.
- It’s rich library of message formatting and rendering and support to various languages.
- It’s intelligent and capable of recognizing the sentiment level as well as its machine learning capability is amazing to capture the user intentions.
- Building a bot does not need a lot of knowledge of coding and does not need a lot of coding. It’s very easy to develop and maintain.
- Tutorial and API reference guide needs improvement so that developers can figure it solution easily. A lot of blogs have been started coming up however, the guide needs to have some examples.
- Not enough mechanism or tutorial available for bot monitoring.
- Limited fallback channel options for connected to live agent which does not making it open to other platforms where SAP interaction center.
SAP Conversational AI is used currently for chatbot for deployment on our organization's website as a digital assistance for customer support and informational conversations to replace/complement the need for a human support staff.
- 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.
- 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.
November 18, 2019
Great product, fantastic support!
We are currently using SAP Conversational AI within our R&D department. We currently use it to solve customer use cases and make pre-sales demos for potential new customer cases. We try to solve use cases that demand high repetitive actions. As of right now SAP Conversational AI is getting more popular within our organizations resulting in a broader (private) usage by our employees. Especially after an internal hands-on session we organized for some knowledge transfer within the company this phenomenon has surged.
- Drag-and-drop user interface making it accessible for technical as well as non-technical users.
- Free tier to develop different chatbots without cost -> easily able to start a proof of concept.
- Integratable with lots of different channels.
- Different opensource (GitHub) projects making it easy to customize the Conversational AI client or self-host the connector.
- Great API + documentation making it a breeze for developers to integrate chatbots in different architectures.
- Better copy-paste functionality in order to copy certain intents between bots without having to make them public.
- Possibility to export data of intents and entities to CSV.
- Better version control -> see differences between the versions easily.
November 18, 2019
Good, would love to pay for it.
We are evaluating this technology for recommending it to our customers and possibly integrating it into our stack. The first impression is very good. It seems to do quite well what we need it to do.
- Ready-made.
- Reputation from SAP behind the product.
- Good APIs.
- A beginner needs a bit of training.
- It is a free product so I hesitate a bit. I'd feel more comfortable if it costs a bit.
November 13, 2019
SAP tools that make you think of SAP as a startup.
SAP CAI is being used on our main product diffusion channel. It is used by all our clients and inside our product management and sales department. For our clients, we use SAP CAI in order to assess their soft-skills and to help them to improve these skills. Our product management and sales department use SAP CAI in order to update the product, register new clients and manage the database.
- User interface. SAP CAI has the best approach to help non-technical people to understand and design chatbots efficiently
- Documentation and community. You always find responses to your questions
- French NLP efficiency
- 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
November 04, 2019
SAP Conversational AI, through a developer's eyes
I am currently implementing it at an infrastructure company. I find the connection with SAP S/4HANA On-Premise systems is not very efficient yet. Moreover since I am implementing in Dutch, I found the entity recognition algorithm of Conversational AI shows some anomalies.
- SAP Conversational AI is the chatbot platform for SAP product environment. It has very easy integration features with the whole SAP landscape.
- There will soon be a lot of out-of-the-box skills available for different SAP products like SuccessFactors, etc.
- SAP Conversational AI prototyping is free. Hence it is extremely easy to create a POC for a client.
- Conversational AI supports internationalization very efficiently. The only problem is that there isn’t any direct tool in the Conversational AI platform which will translate intents from English to other locales.
- With the latest release, Conversational AI bot connectors have matured a lot, hence the implementation effort for Conversational AI in an SAP landscape has been reduced drastically.
- The Conversational AI bot building platform is very simple to use, and intuitive, hence it isn't an issue for a beginner to start working with it. For simple skills you also don’t need to code.
- There is no option to export all intents. This makes translation of skills very effort consuming.
- There are no data masking features in Conversational AI. Hence some clients feel uncomfortable when their data is being sent to the cloud. But Conversational AI is GDPR compliant.
- It is tricky to implement a Conversational AI bot in a non-SAP environment. Though it is possible.
October 15, 2019
Sap CAI Review
To connect business with an app or device on the go. Users do not want to log in to their laptop for doing simple transactions. Chatbots using Conversational AI is easy to develop and use.
- Articulate Intents
- Easy debug
- Simple interface
- Connection to SAP ECC
- Security integration with sms authentication
- More connection adapters with minimal coding
October 14, 2019
Work in progress.
SAP Conversational AI is used for an HR chatbot. It answers simple questions related to expenses but also is integrated with our SAP SF EC using webhooks, using CPI. In its current status, it serves just our UK team of about 300 employees.
- Recognize intents in different languages
- Easy to use
- Channels
- It should include scripting capabilities (just small snippets) as is very complicated to incorporate better logic when comparing memory status
- It should provide a list of possible intents, not just the main one
- Not easily integrated with other SAP products
- Does not have the capability of "scanning" documents and provide answers based on that doc. Other competitors are better prepared in this regard
- Voice recognition
- Better tracing and logging... maybe debugging
October 14, 2019
SAP CAI - Adding Intelligence to Enterprise
We use SAP Conversational AI as an intelligent assistant for our support process and new request handling. We are using it for our customers and are automating their L1 support process (e.g SAP user password reset, user creation, creating a ticket in correct component based on issue and subject).
The bot is hosted in Skype and it is pretty good in terms of handling requests from the end-user. The process used to be complex. End-users used to create a ticket for each invidual request and then it used to take time for processing all these. With SAP Conversational AI, it's much much simpler, no longer takes as long, doesn't create a large load on resources, and it is saving time and resources at the same time.
The bot is hosted in Skype and it is pretty good in terms of handling requests from the end-user. The process used to be complex. End-users used to create a ticket for each invidual request and then it used to take time for processing all these. With SAP Conversational AI, it's much much simpler, no longer takes as long, doesn't create a large load on resources, and it is saving time and resources at the same time.
- Building a bot is very easy because it comes with a great UI. Non-AI and ML developers can develop a chatbot with it. Not too much coding required. You need to know either node.js or Python to build webhook only.
- Recent features like factbot, generating bot from odata, and SSO for S/4HANA make it more unique and enterprise-grade which is very rare to see in other chatbot platforms.
- There are many organizations who don't want to host any chatbots in public-facing social media for security reasons. SAP CAI gives the freedom of choice to host in their own client application.
- Currently what it is missing is language support in all the languages. There are many places where people don't speak English. Training bots in different languages like Portuguese, Chinese, etc. is pretty difficult as most of the advanced functionality of NLP are only available for English, Dutch, or French in SAP CAI.
- Except for the SSO based web client feature, if someone wants to host their chatbot in another social channel like Telegram or Facebook Messenger, they have to take care of user authentication themselves as there is no embedded security framework for handling authentication.
- Currently SAP CAI has some standard channels but should offer more, like Google Assistant and WhatsApp.
October 07, 2019
A platform for every need, but with small gaps.
The platform was used by me and my project manager. Using SAP Conversational AI, we have developed an application commissioned by a large company to generate a bot to help workers generate request tickets. In particular, users needed to be able to send photos about the damage to the workplace/structure they detected, submit a detailed description of tech problems they faced (including software or hardware), and be able to book a meeting room. The bot was also able to answer FAQs and provide business contacts based on the context and priority of the request.
- The simplicity of logical development of the chatbot, in part thanks to a block development environment.
- You can easily connect to Facebook Messanger, Telegram and other messaging platforms, offering a small detailed tutorial for each one. If you want to link to a site, it offers a simple interface to customize the chat mask, so it generates a simple snippet that you just need to copy and paste.
- Except in special implementations, it's sufficient to know JSON technology and some syntax for the management of the "memory" to develop a complete bot, without writing a line of code.
- The platform does not handle the sending of photos by users, blocking several use cases in which a chatbot would be very useful.
- The integration with SAP's universe is very limited.
- The pricing for reselling your chatbot is quite high, and therefore products for small customers will be expensive while the price normalizes for larger projects.