SAP Conversational AI (discontinued)

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 Conversational AI is well suited for all the activities related to customer. It directly interact with the customer and gets direct responses quickly. The interaction gives a human touch and appeal as it becomes a conversation starter. The customer is glued to the chat bots and chat bot is easily able solve the queries related customer.

SAP Conversational AI is a powerful platform, with NLP capabilities available in many languages. It can be used for text-based chatbots. It is not limited to any particular industry or use case as it can be used by companies from different industries depending on their needs.

It is more suitable for areas of customer service experience; however, it is missing the human interaction. Human interaction along with more faster and suitable scenarios will help customers and employees meet their needs in an efficient and timely manner. To provide further information, it is crucial for SAP to input the needs of common issues within each industry and used analytical surveys to show a profile of common issues detected with requests.

Since SAP Conversational AI is a low code platform for chatbots, it is very appropriate for large-scale natural language processing, deploying chatbot systems, and training AI models efficiently. It gives the functionality for bot building, bot connectivity, bot analytics, and much more. The areas which aren't appropriate are the classical machine learning areas like regression, classification, etc.

Great for common chatbot use cases, such as e-commerce or CRM-related activities. It is now completely integrated with SAP technologies since their acquisition, you have access to interesting use cases and templates from various industries to help you jumpstart your own workflows. For example, you can easily automate the process of gathering additional information for new employees. It works best when kept simple.

Very good product by SAP to build AI Chatbots quickly and deploy on any platform. Unlike other platforms it does not need extensive knowledge of coding for building bots. It comes with very strong analytical capability because of it’s multilingual NLP technology. A complete end to end platform to build, train and monitor. I liked the part of monitoring which is an inevitable part of the platform for support and making bot futuristic.

Another plus point being SAP keeps bringing and adding new features for improving user as well as developer's experience on the bot platform.

SAP Conversational AI is well suited for HR scenarios such as fetching your leave information on the go; applying leave and also approving if you are a manager. It is also suited for sales leads such as fetching your tasks on the go; what meetings you have and what are the key insights you need; basically information which you can access on the go without actually being on the system.

Looking from a global point of view and the ability to integrate through the use of Webhook, I think any scenario would be available or suitable for SAP Conversational AI: Service Support Center, for financial and credit entities, at the level of educational consultation, etc.

SAP Conversational AI lets us redefine our customer and employee experience with AI chatbots creating powerful conversational interfaces.

Through triggering several skills, the solution can target specific APIs and display data nicely and in a human-like form. Employees can check their payslips or use it to raise tickets with HR or other departments. By working with some experts in SAP Conversational AI, we were able to meet all our needs.

SAP Conversational AI is very well suited if you are already a SAP shop (i.e. your IT is based on SAP S/4HANA) and are looking for large scale chatbot functionality spanning multiple channels and integrations. It is less appropriate when the deployment is small and you are using a third-party cloud vendor (Google, AWS, Azure, etc.).

It's good for tedious or recurring tasks done by the BOT.

It is well suited for a chat bot that is integrated with users to handle user requests that come in in large numbers. In such cases costs can be saved and staff can be replaced. It is less well suited for highly variable requests that come in in small numbers. If customers describe their problem in great detail the bot has problems understanding the specifics (which makes sense, because the rule-based extraction logic cannot comprehend it).

Well suited to fetch Object details / Status of Objects / Count of Objects. Not suitable for fetching huge amount of information at one go.

It's great to create NPL bots and test them.
Is hard to implement single bots like a workflow process.

CAI is good for handling transnational data which doesnt need extensive analysis. Processes that are to be completed on the fly. If for a particular process we need more than 8 steps, then we tend to lose the context of the conversation.

Seeing all the different possible tools to create a chatbot currently available, SAP Conversational AI has one of the simplest user interfaces and is one of the most well-documented resources. It is easy and free to start hacking on a new idea. Having the possibility to integrate it on the many out-of-the-box channels makes it also immediately usable for different use cases.

I like that it is well integrated into services like Amazon Alexa, Slack, Facebook Messenger and others. Plus: the APIs are robust and well documented. It is a hassle-free product that gives you results really fast. It is also good that you can have multiple bots that allow you to demo the product in front of various (potential) customers.

It is really useful when used in English but I really found it difficult to use for instance in Italian. It's really important to have support for more languages because it's important to keep the use of chatbot simple.

SAP CAI is well suited when you want a bot well trained in French and that can be quickly connected to Messenger/Slack/Teams. SAP CAI is also well suited if your bot is design by non-developers

SAP CAI is not so well suited when working on very complex bots with a lot of API calls and memory use. It can be troublesome to obtain the exact behavior that you want to offer to your users.

SAP Conversational AI is best suited if you need a virtual assistant across all your SAP landscapes in the organization. It is not the best solution if you are using any 3rd party or legacy systems.

Well suited for easy conversational flows without the hassle to manage coding with an expert. Small to medium sized conversations are good to implement. I don't think that deeper conversations would be a problem, but it is initially very time consuming to implement a conversational flow over the backend with drag and drop.

Well suited where users request a lot of information ( like PO status, customer status/information, table level information). SAP CAI reduced the wait time for users to create a new ticket in our ticketing tool and the wait for a reply from offshore support (who were in different time zone and had to keep on checking on ticket status). With SAP CAI, information is received without human interaction in real-time. It also works on mobile (thanks to API integrations which connects on all social media pages).