SAP consultants play a crucial role in understanding client needs, analyzing business processes, and designing tailored SAP solutions. A significant part of their work involves converting functional documents into technical specifications, a time-consuming task. To streamline this process, we introduce “Virtual Consultant,” an automated advisor capable of generating Functional Specifications (FS), Technical Specifications (TS), and even ABAP code. By leveraging Azure AI services and advanced language models, Virtual Consultant can significantly reduce the time and effort required for SAP implementation projects. This study demonstrates the potential of AI-driven automation in revolutionizing SAP consulting practices. SAP consultants are responsible for understanding their clients’ needs, analyzing business processes, and designing and implementing customized SAP solutions to meet specific requirements. They can also write scripts and programs to create user-friendly interfaces and provide advanced functionality. SAP consultants are also responsible for converting functional documents written during studies into technical documents. This process involves translating business requirements and processes into technical specifications, creating instructions that will be used during application development and configuration. These documents cover topics such as system design, configuration, test scenarios, and user training. This study introduces “Virtual Consultant,” an automated advisor designed to address specific requirements within SAP systems for business units. Virtual Consultant takes the place of functional consultants by automatically generating Functional Specification (FS) and Technical Specification (TS) documents and creating ABAP code. Additionally, it can analyze existing code and rewrite FS and TS documents. This work highlights the potential of Virtual Consultant in optimizing business processes. Microsoft has made OpenAI’ s flagship model, GPT-4o, available on Azure AI. This ground-breaking multimodal model integrates text, image, and audio capabilities, setting a new standard for productive and chat-based artificial intelligence experiences. In this study we are using Azure AI services to generate the technical document using functional documents. Our main target for this study was not to get not full ready technical documentation. But during the study we achieved much more efficient results. In our first trials, we achieved around 50% ready document, after that we got more efficient. Finally, we achieved around 80% ready technical documents and some code parts to be used. By using this technique, it will be possible to complete SAP work in a shorter time. Thanks to the open source LLM used, it will be possible to achieve efficiency at other stages in the future.