Intelligent enterprise: 3 best practices to transform your business with AI and SAP

Intelligent enterprise: transformation with AI + SAP

For decades, organizations have stressed the importance of standardization. Process standardization has been the key to driving efficiency and operating at scale, from security and compliance to supply chain management and finance operations.

Until now.

As artificial intelligence (AI) unleashes waves of profound transformation in virtually every industry, companies across sectors are now reconsidering the processes at the core of their business, including those within major platforms such as SAP. For forward-thinking companies, reimagining how the business operates and how work is done presents a compelling opportunity – unlocking real value may be easier and faster than you think.

 Low-effort, high-return: Identifying optimal AI use cases in SAP and beyond

By using AI tools, companies can automate many tasks involved in SAP processes, such as data entry, analysis, and reporting. Dozens of opportunities are currently available in S/4HANA and other SAP solutions and can be configured and activated with a few clicks.

Data analysis powered by ML

AI can improve SAP processes using machine learning (ML) algorithms. These algorithms can analyze large amounts of data to identify patterns and anomalies, allowing companies to identify areas for improvement, optimize their processes and make more informed decisions based on real-time data. For example, machine learning algorithms can analyze customer data to predict future buying patterns, allowing companies to streamline their inventory management processes and ensure they have the right products in stock at the right time.

Customer service enabled by chatbots

AI-powered chatbots can also provide real-time support to SAP users or customers by answering questions and resolving issues faster than human support staff. This improves time-to-serve, boosts user satisfaction, and frees staff to focus on higher-value, more engaging work.

Enhanced user experience through NLP 

AI can also improve the user experience in SAP. By leveraging natural language processing (NLP) and chatbot technology, users can interact with SAP more intuitively, making it easier to perform tasks and find the needed information. This can reduce time spent on training and increase user adoption of the SAP system.

Overall, by incorporating AI into SAP processes, companies can gain greater efficiencies, reduce costs, and improve the accuracy and timeliness of their data. As AI continues to evolve, we will likely see even more innovative solutions to optimize SAP and other enterprise systems – with more value created along the way.

Reinventing processes require a reinvention of the business: 3 best practices to jumpstart your AI journey in SAP

Companies that want to leverage AI to reinvent their processes within SAP, should consider every aspect of the business – from the most obvious points, like coding and development, to the most complex, such as workforce engagement and change management.

Here we share three best practices for companies as they begin their AI journey in SAP.

  1. Start small. In many cases, seemingly small solutions and minor process improvements can generate significant gains for the business. What’s more, engaging in a relatively small project can help the company establish the overall value of AI, thus helping to build energy and excitement across the business for using this technology more widely.


  1. Create a culture of change. AI is dramatically and rapidly changing how companies operate and people work. The organization’s culture is the key to positively harnessing this energy and excitement. Companies that stress the value of innovation and the benefits of change can drive adoption and maintain the use of new technologies and solutions like AI.


  1. Choose an experienced transformation partner. AI is unchartered territory for many corporations, and talent in this area can be scarce. This can make developing and launching a transformation plan internally a real challenge. Engaging external resources specializing in emerging technologies and enterprise applications where the company wants to apply them – such as SAP – is one of the most significant ways to ensure the program’s success. This is critically important in helping the business develop a cohesive and comprehensive transformation journey that evolves in time with the technology instead of simply executing use cases in isolation.

Reinventing SAP with AI and Globant

As a long-term, strategic SAP partner and digital native, Globant brings together all the necessary components to enable rapid, effective, value-driven change that powers profound transformation and inspires reinvention across the business.

We are a trusted, end-to-end transformation partner that helps clients continuously evolve their SAP investment, allowing them to leverage the platform for more advanced use cases, unlock new sources of value, and take advantage of new features and functionalities routinely added by SAP. 

Our SAP platform expertise, combined with our deep experience in process optimization, automation, AI/ML, and our integrated Studio model, combines the complementary technology, discipline, and industry services clients need to power their reinvention – in SAP and beyond.

Data and AI | Cultural Hacking | Enterprise Platforms | Industry Reinvention

Ready to learn more about Intelligent Enterprise Transformation with AI and SAP? Join us at Sapphire Orlando on Wednesday, May 17th at 10:30am in Breakout Theater 11 for our session to see how Globant’s applied AI tool Navigate accelerates time to value, improves efficiency, and reduces risk at the stages of your journey to SAP S/4HANA.


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The Data & AI Studio harnesses the power of big data and artificial intelligence to create new and better experiences and services, going above and beyond extracting value out of data and automation. Our aim is to empower clients with a competitive advantage by unlocking the true value of data and AI to create meaningful, actionable, and timely business decisions.