What if you could skip the drag-and-drop and just describe your process in plain language? Thanks to AI, that’s no longer a hypothetical. This session explores how developers can use AI to: • Generate workflows (like BPMN or Power Automate flows) from natural language • Analyze and improve existing processes with AI-driven insights • Integrate GPT-based services directly into workflow logic We’ll walk through examples using both Microsoft Power Automate and open-source engines, showing where AI adds real value—from rapid prototyping to smart decisioning. If you’re working with workflows, this session will show how to bring AI into the mix without losing control.

This session provides an overview of how using RAG (Retrieval-Augmented Generation) enables language models to deliver more accurate and useful answers, especially when they have access to real documents. Through a mix of theory and practical examples, we demonstrate the difference between “classic” LLMs and those that know where to find the right information.