Software Architechture AI Day 2026

Modern AI technologies are changing not only the technical design of IT systems, but also the role of software architecture itself. While classic architectures primarily focused on the structure, modularity and scalability of software systems, new AI concepts such as large language models (LLMs) and retrieval-augmented generation (RAG), as well as the Model Context Protocol (MCP), are expanding the architectural toolbox to include entirely new design possibilities. AI is therefore becoming more than just a technical building block; it is also helping to shape system behaviour and bridge the gap between humans and machines.

In this presentation, I take a strategic look at the architectural change that accompanies the advent of intelligent systems. I show how classic software and AI components can be combined to create hybrid solutions that not only automate, but also actively support users, thus becoming tailor-made tools for users and their work. The development and operation of AI systems also involves new architectural principles that are needed for the integration of training and data architectures, as well as the question of how AI solution patterns can be meaningfully embedded into existing software landscapes.

This overview presentation is aimed at software architects, developers and IT decision-makers who want to understand how their role and tools are changing in the age of artificial intelligence – and why good architecture remains indispensable for AI systems.