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Guest article by Katrin Saup, arsmedium – Implementing new business software such as BCS is much more than just a technical project. In this case study, Katrin Saup uses the introduction of BCS at arsmedium to show how process management, clear leadership, and the consistent involvement of employees determine success or failure. Without a test phase, but with a clear vision, arsmedium introduced BCS from Projektron in a big bang go-live with iterative organizational development. An honest report on change, responsibility, and the human side of digital transformation.

Who hasn't experienced it? You start a new project full of enthusiasm and confidence. The planning has already been successfully completed, the project launch went extremely well and everyone involved is full of enthusiasm and drive. But over time, the mood begins to change and with it the entire project. Work processes go awry as planned, communication becomes rougher and more confusing, collaboration starts to break down. The project threatens to fail. The reasons for the failure of a project can be very diverse, but there are recurring problems. Find out what the 9 most common reasons for project failure are and what you can do about them.

As standardized approaches, project management methods provide guidance for the planning, execution and controlling of projects. PRINCE2 is a process-oriented method that can be scaled and puts the benefits of a project at the center of project management. Our technical article offers an introduction to the basic idea, strengths and weaknesses of the PRINCE2 method.

Artificial intelligence is not only changing the way we develop software, it is also changing the way we use software. For BCS, our project management and ERP software, this means that AI should make everyday work noticeably easier, reduce routine tasks, guide users to answers more quickly, and increase internal efficiency. While many AI initiatives focus on one-off solutions or experimental prototypes, Projektron pursues a systematic, long-term approach.

With BCS AI assistance, we at Projektron have developed our first productive AI application that enables users to quickly and reliably obtain answers to questions about BCS documentation. The path to this point was iterative: Several rounds of testing and improvement showed that it is not the language model itself, but rather retrieval, splitting, and data preparation that determine the quality of the answers. This article shows how we at Projektron optimized the system step by step – right up to its productive use by customers.

Over the past few months, Projektron has been working intensively on developing a powerful and future-proof AI framework for BCS. After presenting our initial experiments with language models, RAG concepts, and prompt engineering in previous articles, we are now focusing on how these findings can be used to create a robust, productive system architecture.

Since the end of 2023, we at Projektron GmbH have been exploring the possibilities of AI—how can we make this technology usable for our ERP and project management software BCS? In a development project, we familiarized ourselves with the technology and worked out some basics for possible product applications.