Victor Vaquero Soto

Since launching its digital transformation program in 2018, Repsol has developed RAIP, Repsol Artificial Intelligence Products, a framework that encapsulates years of analytical expertise and supports hundreds of production-grade AI models across the organization. Within RAIP, solutions such as REPSENS for time series forecasting have been validated in demanding industrial environments. With the rise of generative AI, rather than treating it as a separate paradigm, we focus on integrating generative capabilities with proven AI assets to maximize impact. In this session, we present ho Genie Code builds on RAIP to automate advanced workflows such as time series forecasting. We also compare this approach with foundation models such as TimeGPT and Chronos, and discuss how this agentic paradigm extends to pricing and optimization use cases. It augments existing AI models while preserving governance, reliability, and operational control and democratizes access to RAIP across business units.