The talk presents how ING has increased its productivity in delivering propensity-to-buy models for direct marketing campaigns by implementing an AutoML pipeline that utilizes the existing infrastructure. The implementation of clear standards and a highly automated model development process with state-of-the art features (SHAP, Bayesian parameter tuning, etc.) has decreased the time needed for development to deployment to less than one month while model updates only need a few hours.