Route AI tasks with OpenAI GPT‑4.1‑mini and confidence‑based email fallback
Overview This workflow intelligently routes incoming user requests using AI-powered task classification. It determines whether a task is simple or complex, assigns a confidence score, and dynamically delegates execution to the appropriate agent.
If the confidence score is too low, the workflow triggers a fallback email alert for manual review—ensuring reliability and preventing incorrect automation.
This design improves response accuracy, enables scalable automation, and introduces human-in-the-loop safety for uncertain scenarios.
How It Works
Webhook Trigger Receives incoming user requests.
Workflow Configuration Stores the user request and confidence threshold.
Supervisor Agent Analyzes the request. Classifies it as simple or complex. Returns a confidence score and reasoning.
Structured Output Parser Ensures the classification follows a strict JSON format.
Confidence Check (IF Node) Compares the confidence score with the threshold.
Routing Logic If confidence is high: Task is passed to the Executor Agent Executor selects: Simple Agent Tool for basic tasks Complex Agent Tool for advanced tasks
Agent Execution Each agent uses an OpenAI model to process the task.
Fallback Handling If confidence is low: Sends an email alert for human review.
Setup Instructions
OpenAI Credentials Add credentials for all OpenAI nodes: Supervisor Executor Simple Agent Complex Agent
Webhook Configuration Set the webhook path. Connect it to your frontend or API source.
Email Node Setup Configure sender and recipient email addresses. Use SMTP or supported email service.
Adjust Threshold Modify confidenceThreshold in the Set node if needed.
Customize Prompts Update system messages in: Supervisor Agent Executor Agent Simple/Complex Agents
Use Cases
AI-powered task routing systems
Customer support automation with fallback safety
Intelligent chatbot orchestration
Workflow automation with human-in-the-loop validation
Multi-agent AI systems with decision control
Requirements
OpenAI API credentials
Email (SMTP or service integration)
n8n instance (cloud or self-hosted)
Key Features
AI-based task classification
Confidence scoring for safe automation
Dynamic agent routing
Human fallback for low-confidence decisions
Modular and scalable architecture
Summary
A smart AI routing workflow that classifies tasks, routes them to specialized agents, and ensures reliability through confidence scoring and fallback alerts—ideal for building safe, scalable automation systems in n8n.
Related Templates
Automate Free IP Analysis: NixGuard AI Summaries & Wazuh Integration
Supercharge Your Security Operations for Free Stop wasting time manually investigating suspicious IP addresses. This wo...
AI Agent with Ollama for current weather and wiki
This workflow template demonstrates how to create an AI-powered agent that provides users with current weather informati...
Convert JSON Objects to Base64 Strings with File Processing
Encode JSON to Base64 String in n8n This example workflow demonstrates how to convert a JSON object into a base64-encod...
🔒 Please log in to import templates to n8n and favorite templates
Workflow Visualization
Loading...
Preparing workflow renderer
Comments (0)
Login to post comments