  This paper describes the development of a counterfactual Root Cause Analysis
diagnosis approach for an industrial multivariate time series environment. It
drives the attention toward the Point of Incipient Failure, which is the moment
in time when the anomalous behavior is first observed, and where the root cause
is assumed to be found before the issue propagates. The paper presents the
elementary but essential concepts of the solution and illustrates them
experimentally on a simulated setting. Finally, it discusses avenues of
improvement for the maturity of the causal technology to meet the robustness
challenges of increasingly complex environments in the industry.
