Workflow overview
Why this workflow matters
Improves internal consulting operations and productivity. Relevant for managed services and support workflows.
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) AlekSystem 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 AlekSystem.
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