Block 1 - Student Event Webhook
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2.1
How It Works This workflow automates student academic advising by deploying a multi agent AI system that triages student queries, routes them intelligently, and escalates when human intervention is...
n8n-nodes-base.webhook, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.agenttool, n8n-nodes-base.emailsend
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceThis workflow automates student academic advising by deploying a multi-agent AI system that triages student queries, routes them intelligently, and escalates when human intervention is needed. Designed for academic institutions, it eliminates manual triage bottlenecks and ensures timely, context-aware responses. A student event triggers the webhook, which feeds into a Status Agent to classify the student's situation. A routing node directs the request to an Academic Orchestration Agent, which delegates to specialized sub-agents—Advising, Notification, or Escalation—based on query type. Results are routed by action type, checked for escalation, then dispatched via student email, faculty email, or Slack advisor alert before logging completion.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 33 workflow blocks. Download the JSON for the full node graph.
| Workflow | Route and escalate student advising requests with OpenAI, Gmail and Slack |
|---|---|
| Complexity | advanced |
| Nodes | 33 |
| Categories | Support Chatbot, AI Chatbot |
| Author | Cheng Siong Chin |
| Published | 25 Feb 2026 |
Use the JSON export at /data/workflows/13680/13680.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How It Works This workflow automates student academic advising by deploying a multi agent AI system that triages student queries, routes them intelligently, and escalates when human intervention is...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.