Jeannie is an LLM-based agentic workflow implemented in Python to automate task management for field workers in the energy sector. This system addresses inefficiencies and safety risks in tasks like PV panel installation and powerline repair.

Using open-source tools (LangChain family, OpenStreetMap and OpenWeatherMap APIs), Jeannie retrieves tasks, fetches weather and directions, identifies past incidents via RAG, and emails tailored reports with safety warnings.

This presentation offers a case study of Jeannie’s implementation for E.ON in Germany, demonstrating how daily task automation enhances worker safety and efficiency. Attendees will discover how to create agentic systems with Python, integrate APIs, and apply RAG for safety applications, with access to open-source code and data for replicating the workflow.