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鈥檚 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 generative AI holds even greater potential for organization鈥檚 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 Generative 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鈥檚 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, 乌鸦传媒 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 and mixed 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, (our LTP methodology) and on the careful evaluation of tasks that benefit most with the injection of generative AI accelerators.

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

乌鸦传媒鈥檚 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鈥檚 investments and roadmaps:

Customized, industry-specific-use cases to enhance the daily productivity of end users and improve speed and quality of decision-making.

Throughout the project lifecycle, we鈥檙e integrating generative AI accelerators. This approach streamlines large SAP transformations, enhancing efficiency and reducing time-to-market.

Training our SAP practitioners in SAP鈥檚 generative AI methods and tools to enhance their skill sets. As part of our partnership, SAP aims to upskill 20,000 乌鸦传媒 employees by H1 2025. Why is this important? Our research shows that limited data and AI talent, skills, and knowledge pose a significant obstacle to widespread adoption of generative AI across organizations (70%) in various sectors.

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.

乌鸦传媒 and SAP are already working with clients to leverage generative AI to, for example:

乌鸦传媒 and SAP are working to help grocers reduce food waste by proactively generating campaigns on products that are closer to their expiry date.

乌鸦传媒 is helping a leading automobile organization to transform its direct sourcing function into a proactive, data-informed, and agile process.

乌鸦传媒 has developed a use case that鈥檒l drive increased sales for the semiconductor industry by scanning complex technical documents and proactively offering the best proposal to clients.

Most importantly, generative AI is already paying off for 乌鸦传媒 clients, find out more: