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Causal Root-Cause Graph
Replace correlation-based RCA with a real causal model. Recover the causal DAG with PCMCI, then estimate each parent's contribution to the incident via do-calculus counterfactuals.
PCMCI causal DAG
Time-lagged conditional independence recovers the directed causal graph from RF, controller, AAA, DHCP, WAN and app QoE.
Counterfactual contribution
Each candidate cause gets a contribution share via do-calculus, not Pearson correlation. Defensible at post-mortems.
Unmatched in market
Every 'AI RCA' on the market ranks correlated signals. None compute true causal contribution per parent.
Build a causal graph
Describe an incident window. AI returns the DAG, ranked causes and counterfactual uplift.
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