Operational risk registers inventory threats and rate them; operational predictors forecast which assets will fail next. Both treat the variables that produce operational risk as independent — separate rows on a register, separate features in a model. The decisions actually wait on the question the inventory cannot answer: where do these variables share causes, and what happens to the joint distribution when you intervene on one?
Each case below shows a different shape of that mistake. Model files ship with every case.
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▸Utility Grid Risk — Capital deferral decisions are made as if the grid is static.
Load is shifting, mix is shifting, and the controls available now will look different in five years. A static reliability model assumes the deferred asset will be needed for the same job; the causal model represents what happens when the job changes.
▸Asset Reliability — The control that prevented the problem you can’t see.
Three unplanned outages looks like a failure. The causal model asked how many would have occurred without the program. The KPI was wrong because the intervention was working.
▸Supply Chain Risk — The risk you didn’t know was there.
Three suppliers in three countries. The scorecard called it diversification. The causal model found one fabricator with three labels — $23M in concentration risk scored as managed.
▸Quality & Defect Attribution — The defect rate is 2.3%. Which line, which material, which operator?
A predictive model can tell you defects are correlated with night shift on line 4. A causal model tells you whether changing the line, the shift, or the supplier reduces the rate — and by how much.
▸Training Effectiveness — The training completion rate is 94%. The performance metric was unmeasured.
Completion was answerable from existing systems; the actual reason the program existed was not. The cheaper metric won by default. A causal model is what isolates the training effect from everything else that affects performance.
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For the methods behind these cases, see Risk Aggregation, Confounding, and Time-Varying Models. For the wider portfolio across all five risk types, see About Risk.