SAP Conversational AI (discontinued)

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 chatbots to be specific on our websites to improve how we engage with our customers. SAP bots have actually made work easier by taking over the time-consuming, low-value tasks. It has stretched our engagements with our audiences through integration with Facebook and Instagram.

It is an accessible and very flexible software. Thanks to its integrations we can use it with different solutions to build different multilingual Chatbots for our instant messaging tools very quickly and without problems.

SAP Conversational AI is primarily used in chatbots to help customers navigate different products in an e-commerce setting. It's low on code so it can be easily integrated with current systems or legacy systems. It provides an end-to-end bot-building platform to companies that want to start exploring new AI use cases.

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 is used as a recommendation for implementing chatbot features in enterprise applications which makes the end-user experience hassle-free, without the need for accessing SAP applications independently and hence saves a lot of time. Leave management information and other HR information is available with easy queries without the need of navigating to different screens.

At that time we found ourselves in the development of Chatbot for our clients through SAP CAI using the established communication channels. Additionally, we use the API to establish the connection via WhatsApp. It is currently used by the Evolution department. For business problems we are currently addressing a Support Center or global customer service.

We use SAP Conversational AI to automate business processes and improve customer support with AI chatbots.

We use Conversational AI in our IT services department to encourage employees to use self-service for their common questions and activities. We are also looking to expand this into more departments and add some more functionalities in order to really enable our users to leverage the chatbot interface. Currently, we are adding some FAQs.

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.

For the following reasons, SAP Conversational AI is being used in our organization:

1. Enables immediate responses to our Business Users’ SAP and support related questions in French and German during and outside of office hours anytime, anywhere through the Group Mutual Web site or HelpDesk system.
2. Conveys a positive and modern image to our Users, many of which have successfully embraced the chatbot, as evidenced by a 75% first-time resolution rate.

SAP Conversational AI (CAI) is an excellent tool for the design of bots that handle processes through workflows and even better that they use natural language processing NPL. In our company we use it to develop and implement the bot for our help desk. And some bots for other customers. We use its excellent integration with Telegram, Facebook Messenger and even WhatsApp. It allowed us that in both platforms the iteration was identical since they all used SAP CAI as a base.

We used it to prepare a POC for a contest. We needed to let a user insert a warning notice by just using his voice.

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.

We use it to implement a simple Chatbot for our own website. With the way the user interface works we could use it in other departments and other people could implement conversational flows. This way we don't need engineers to work the bot. With simple CSS manipulation we can make the bot look the way we want it to.

This was used in a pilot run for a support project to make data easily available to customers without waiting for a support team to reply back. With the help of SAP CAI, we were able to get the table level data onto the customer ticketing tool which reduced the information time, reduced new ticket creation, and reduced man hours.

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.

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.

We are using SAP Conversational AI in the HR Department to answer the common questions about licenses, benefits, etc. We have recurrent questions.
Also, we have a department of research and development where we are studying potential uses cases of chatbots. The research is for sales opportunities to potential customers that they want to solve their administration issues in their organizations.

It's used only by the department for test purposes but also in a specific case for a client involving a FAQ bot. Our concerns are related to the algorithms to classify documents. I heard SAP will release an update with this feature to upload documents for training and we are looking forward to them.

So far, we are developing prototypes to be tested and considered for clients in the future. It's being used only by the technical team.