SAP Integration with ChatGPT AI


SAP Integration with ChatGPT AI

In this article we discuss the teased SAP integration with ChatGPT and the likely impact on both end-users in ANZ and globally.

With AI a topic on everyone’s lips, and on the back of its partnership announcement with IBM Watson, SAP has also teased a partnership with ChatGPT, the AI language model developed by OpenAI. If it comes to fruition the collaboration would further integrate the power of natural language processing and AI into SAP's suite of business solutions.

Through this collaboration SAP would be looking to reshape the landscape of customer service, data analytics, employee onboarding and training, as well as workflow automations, improving customer efficiency and productivity worldwide.

Commenting on the possible integration, SAP CEO Christian Klein said during an interview “We were studying ChatGPT for quite a while… we have built over 50 AI use cases, embedding them with our technology,”.

At the core of this collaboration would be the incorporation of ChatGPT's advanced conversational abilities within SAP's applications and platforms. By leveraging ChatGPT's understanding of human language, it would enable users to interact with SAP systems using natural language queries, commands, and instructions.

With ChatGPT acting as a virtual assistant that understands and responds to user queries in a conversational manner, real-time insights and recommendations can be provided. By, performing more actions within the SAP environment, it is likely to extend user capabilities to interact with SAP's suite of applications, including SAP S/4HANA, SAP SuccessFactors, SAP Ariba, and more.

Some of the areas that may benefit from the integration include:

Customer Service

Using ChatGPT's natural language capabilities, customer inquiries can be processed and responded to in real-time, significantly reducing response times and increasing customer satisfaction. ChatGPT can deal with requests, resolve simple issues, and escalate more complex problems to human agents when necessary, helping to ensure a seamless customer service journey.

Data Analytics

An integration would allow users to query and analyse large datasets using conversational language. Instead of relying solely on reporting tools, data analysts and business analyst users can vocalise questions to ChatGPT, the AI processing those queries and retrieving the relevant data from SAP's analytics platform, enabling faster data-driven decision-making.

Employee On-boarding & Training

An integration would aim to simplify and accelerate employee onboarding and training processes. New hires could interact with ChatGPT to ask questions about company policies, procedures, and access relevant training materials. This would enhance knowledge transfer, reduce dependency on human trainers, and ensure consistent information dissemination across an organisation.

Workflow Automations

Users would be able to communicate with the system using natural language commands to initiate processes, request updates, or make inquiries. For example, a user could ask ChatGPT, "What is the status of the procurement request for Project X?" and receive real-time updates on the request's progress. This has the potential to streamline workflows, improve efficiency, and enable employees to focus on higher-value tasks.

At first glance this integration would certainly have the power to transform the efficiency and way SAP end-users work and do business and provide real benefit to SAP customers. However, it is likely that the move will not be without challenges, be they technical, user or privacy related. Success would rely on robust security, ethical and regulatory standards and thorough end-user training and support.

In conclusion, an SAP and ChatGPT integration would usher in a new era of intelligent enterprise solutions and combined with the recent announcements, be a demonstration of SAP’s commitment to innovation and competitiveness of its software solutions. Incorporating the conversational power of ChatGPT within SAP's ecosystem, would provide potential for businesses to enhance customer service, unlock insights from data, streamline workflows, and revolutionise employee onboarding and training.

How quickly ANZ customers, many of whom are still working their way through cloud transformations, are likely to adopt the new AI technologies SAP are pursuing, remains to be seen. In a recent survey from Americas’ SAP Users’ Group members put AI and machine learning 11th in a list of important technologies to them. It will be interesting to monitor ANZ interest and demand over the coming months.

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