# Local RCA engine

Local RCA runs at the edge and produces explainable suggestions.

```mermaid
flowchart TB
  E[Inspection events stream] --> P1[Layer 1: Pattern accumulator]
  P1 -->|spike/anomaly| P2[Layer 2: Parameter correlator]
  P2 -->|structured context| P3[Layer 3: Explanation model]
  P3 -->|SOP-linked recs| P4[Layer 4: Action recommender]
  P4 --> OP[Operator acknowledgment]
  OP --> TR[(Verified triple stored)]
  TR --> P1
```

### What this implies

* Suggestions are local-first.
* Confirmation is explicit.
* Stored triples provide auditable learning.

### Next steps

* [Causal triples](/doc/intelfactor-ai/product-concepts/causal-triples.md)
* [Safety rails](/doc/intelfactor-ai/product-concepts/safety-rails.md)
* [Monitoring](/doc/intelfactor-ai/operations-and-security/monitoring.md)


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