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n8n · SEPA · AI

Sentiment-Based SEPA Monitor

Standard SEPA monitoring catches degradation through latency and error metrics. Merchant support emails catch it earlier. Merchants start complaining before monitoring thresholds fire - this is an early warning system built on that pattern.

Working n8n agent. Click any step to see what it does.

Pipeline 1 - Incident Detection
✓passGenerate Report → Slack
✗failCanary Failed Alert
Pipeline 2 - Reset
Triggered manually via the Acknowledge button in the Slack report.
✓passRestore 9s Threshold
✗failWarning + Force Override

AI interprets. Engineers decide. Every action touching live infrastructure requires explicit human approval. Nothing switches automatically.

Both outcomes teach the model. Approved and denied decisions are equally valuable. A wrong recommendation with the right correction is training data.

Full audit trail. Every recommendation, approval, and denial is logged with timestamp, engineer identity, and the data snapshot that triggered it.