N8n confidence threshold routing

★ 6.6 · n8n · medium · 14 nodes

N8n confidence threshold routing is an n8n automation template that routes requests along different processing branches based on the AI model's confidence score in its output. Reach for it when you need to automatically flag low-confidence AI responses for human review, when hallucinations in a production agent pipeline are unacceptable, or when you want cascading model logic — a fast cheap model first, then a heavier one if confidence falls below a threshold. Trigger: webhook. Integrations: n8n built-in branching and conditional logic nodes. The workflow evaluates the confidence value returned by the model and splits execution: high-confidence responses pass through automatically, low-confidence ones are routed to a fallback branch — human-in-the-loop approval or an alternative model. Delivered as an n8n JSON workflow, imported directly via the n8n interface; requires a running n8n instance (self-hosted or cloud). Direction — quality-based filtering and routing, not data generation or enrichment. Suitable for developers and ML engineers shipping AI agents to production who need reliability guardrails. Not applicable when the model's response lacks a structured confidence field.