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

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.