Many companies continue to run their SAP systems on-premises and are faced with the question of how they can harness the potential of artificial intelligence without fundamentally overhauling their existing IT landscape. Bridge technologies make it possible to connect AI applications and autonomous agents directly to SAP data and business processes today. This opens up new opportunities for [...] Read more >
1. Purpose and Scope of Use The available functions provide reference, customization, and control information from SAP Condition Contract Management. They are particularly well-suited for a chatbot that supports business units, key users, Controlling, Purchasing, Sales, and Internal Audit with business-related questions regarding the structuring and settlement of condition contracts. The focus is on questions [...] Read more >
1. Purpose and Scope of Use The available functions provide selected information from SAP Project System (SAP PS). They are particularly well-suited for a chatbot that supports project management, project controlling, the PMO, purchasing, materials planning, and executives in addressing business-related questions. The focus is not on technical queries of individual fields or internal [...] Read more >
1. Purpose and Scope of Use The available functions provide information from project portfolio management. They are particularly well-suited for a chatbot that supports executives, portfolio managers, controllers, and resource managers in addressing business management questions. The focus is not on technical queries of individual tables or IDs, but rather on answering management questions [...] Read more >
Generative AI can enhance SAP applications in areas such as document analysis, summarizing business information, semantic search, and providing dialog-based support to users. For SAP on-premise systems, this raises a fundamental architectural question: Should the large language model be used via an external cloud service or within the company’s own [...] Read more >
Many AI applications do not reach the model’s performance limit, but rather the limit of the available context window. In classic tool calling, a process proceeds step by step: The language model calls a function, receives its result, evaluates it, and then decides on the next call. With just a few queries, [...] Read more >
The more powerful an AI agent becomes, the greater its range of functions typically becomes. While a specialized assistant might need only five or ten tools, enterprise agents quickly access hundreds of functions from ERP, CRM, document management, and analytics systems. For each of these functions, the large language model [...] Read more >
„Cloud first“ is becoming „AI first“: SAP is evolving from an ERP system into a platform for AI-driven business processes. Many companies are still a long way from this. Bridge technologies are already enabling AI applications in on-premises SAP systems and paving the way to the cloud. The DSAG Investment Report 2026 shows that many companies continue to use SAP [...] Read more >
In our „AI in Practice“ section, we’ll guide you step by step through a specific use case: from navigation and customization all the way to functional testing. This article focuses on setting up a chatbot for AI-powered retrieval of project information in the SAP Project System (PS) based on [...] Read more >
In our „AI in Practice“ section, we guide you step by step through a specific use case: from navigation to customization to functional testing. This article focuses on setting up a chatbot for AI-powered order status inquiries in SAP based on [...] Read more >
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