Drive business value with SAP generative AI and business AI

Generative AI investment is on the rise. According to our latest research, 80% of companies have increased their funding for generative AI compared to last year.

This shift is in line with the growing recognition of generative AI’s transformative potential. Organizations are seeing both top-line and bottom-line growth improvement by leveraging AI across functional areas. With a focus on generative AI alone, on average, organizations realized a 7.8% improvement in productivity and a 6.7% improvement in customer engagement and satisfaction over the past year.

Building on that potential, when we consider the implementation of Gen AI at scale, SAP’s generative AI holds even greater potential for organization’s large transformation projects. It promises improved delivery lifecycle time-to-value and enhances the business user experience. Additionally, it facilitates everyday transformation across industry- and business-specific processes and functions, spanning finance, supply chain, purchasing, human resources, sales, and service.

Maximize potential of SAP Gen AI for large transformation projects

We are concentrating on the potential of SAP generative AI for large transformation projects with its potential to improve both the:

• Delivery lifecycle for competitive strength in the market
  Our holistic approach integrates advanced AI capabilities into various stages of the software development process, revolutionizing how SAP applications are designed, developed, and maintained.
• Business user’s experience and productivity
  We view generative AI not as a standalone technology, but as an integrated part of our business applications that infuses intelligence natively into business processes. It marks a disruptive shift that will transform how businesses operate, make decisions, and optimize processes.

Focusing on the delivery optimization with Gen AI for SAP, Capgemini is continuously working on the definition of methodology, assets, and toolchain to inject Gen AI accelerators into SAP software lifecycles to create more business value depending on the main four types of SAP transformations:

• Global transformation (aka greenfield)
• Brownfield migration
• Global rollouts
• Single line of business (e.g., EMW, SuccessFactors, and other implementations).

We base our methodology on the detailed analysis of the typical phases for SAP transformation projects – prepare, foundation, build print, test, deploy, and support – and on the careful evaluation of tasks that benefit most with the injection of generative AI accelerators.

As an overall Capgemini benchmark, 30-35% of work breakdown structure (WBS)  tasks, covering 60-70% of project effort, are positively impacted by generative AI.

Capgemini’s augmented SAP transformations: Leveraging generative AI for business excellence

With SAP, we are actively collaborating on SAP generative AI and business AI today, reflecting on how this impressive technology can help shape new capabilities, which we are segmenting in three different dimensions that align closely with SAP’s investments and roadmaps:

From theory to practice: How generative AI can transform business processes

We believe that integrating Gen AI into SAP transformation programs is a crucial step for business transformation. It presents a unique opportunity to generate additional business value, reduce effort, and lower project costs. Our goal for Gen AI is to complement new technological and business SAP solutions that address diverse client needs across various business domains.

Capgemini and SAP are already working with clients to leverage generative AI to, for example:

Most importantly, generative AI is already paying off for Capgemini clients, find out more: