Causal Discovery goes beyond Predictive Maintenance by uncovering why a machine fails. We report on the challenge of identifying confounders in complex data & how to address that in practice. We present project results e.g., where a DiscoveryBot constantly monitors a cylinder head production line & alerts emerging causes for quality defects. We will connect to an AWS instance hosting data from that production, run causal discovery algorithms live & show how to explore the results interactively.