💬 Route AI tasks with OpenAI GPT‑4.1‑mini and confidence‑based email fallback

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Description

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

1. Webhook Trigger

   • Receives incoming user requests.

2. Workflow Configuration

   • Stores the user request and confidence threshold.

3. Supervisor Agent

   • Analyzes the request.
   • Classifies it as simple or complex.
   • Returns a confidence score and reasoning.

4. Structured Output Parser

   • Ensures the classification follows a strict JSON format.

5. Confidence Check (IF Node)

   • Compares the confidence score with the threshold.

6. 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

7. Agent Execution

   • Each agent uses an OpenAI model to process the task.

8. Fallback Handling

   • If confidence is low:
     • Sends an email alert for human review.

Setup Instructions

1. OpenAI Credentials

   • Add credentials for all OpenAI nodes:
     • Supervisor
     • Executor
     • Simple Agent
     • Complex Agent

2. Webhook Configuration

   • Set the webhook path.
   • Connect it to your frontend or API source.

3. Email Node Setup

   • Configure sender and recipient email addresses.
   • Use SMTP or supported email service.

4. Adjust Threshold

   • Modify confidenceThreshold in the Set node if needed.

5. 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.

🔗 Nodes Used

Send Email, Webhook, AI Agent, OpenAI Chat Model, Structured Output Parser, AI Agent Tool

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup