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To achieve enterprise-scale results using generative AI or large language models (LLMs), a fundamental transformation of the architectural framework is required. We modernize legacy SAP landscapes – making them future-proof and integrable. In this way, we create the technical foundation on which AI applications can run reliably.
High-performance systems for tomorrow’s innovations and AI scenarios
Stable foundation for AI projects instead of prototype chaos
If data quality is lacking, trust in data and analyses is quickly lost. The causes often lie within the organization: Business units lack data literacy, and without transparent governance, it remains unclear who has data ownership. This is all the more true in the age of AI, because its results are only as good as the data on which the decision is based.
We bring structure to data landscapes and create a reliable foundation for decision-making. Building a future-proof data platform fully supports the use of AI applications. We are also thoroughly familiar with business requirements, implement them technologically, and enable your power users.
Making fact-based decisions
Reliable data and clear responsibilities
Creating a future-proof architecture
Rigid processes hinder precisely this ability to respond. At the same time, product life cycles are getting shorter: What used to remain stable for years now changes within months, and innovation suffers when business processes fail to keep pace. New technologies such as AI and automation open up enormous opportunities to make processes more efficient. But those who stick to rigid processes cannot take advantage of these opportunities. We make business processes adaptable and manageable so that AI-powered automation can take effect.
Rapid responsiveness
Enhanced competitiveness
Those who are busy keeping their own systems running have little capacity for new initiatives. We provide operational support for your SAP systems, ensuring stable operations. Specialized expertise is available to you on demand whenever needed – whether to support smaller projects or to handle peak workloads. This gives your teams the freedom they need to focus on innovation.
Reduced burden on your in-house IT team
Fewer routine tasks
More capacity for innovation
Consistently available systems instead of process downtime
Our Power Workshop for AI Governance provides practical guidance on how to identify risks associated to artificial intelligence (AI) at an early stage, establish effective governance structures, and accelerate innovation without worrying about compliance hurdles. This will help you lay the groundwork for the scalable and trustworthy use of AI.
Many SAP customers are currently exploring SAP Joule and SAP Business AI. In practice, however, certain challenges arise when implementing AI. Take action now so you can use SAP Joule effectively. We help companies make their SAP architecture AI-ready in terms of roles and authorizations. The result: a holistic, clean identity & access foundation for SAP Joule.
Our approach to the SAP S/4HANA transformation makes targeted use of AI agents in analysis, implementation, and testing to maximize value. Thanks to an AI-powered brownfield migration, companies can move to SAP S/4HANA quickly and with less effort. This creates the technological foundation on which innovations and competitive advantages can then be realized in the AI and automation layers.
SAP Business Data Cloud brings together business data from all areas of a company to create a semantically rich treasure of data. This makes SAP BDC the central hub for all business-critical data and serves as an important cornerstone for SAP Business AI. Companies can gain relevant insights from their SAP and non-SAP data in real time and thus secure a significant competitive advantage.
A selection of our customers
