Templates / Automate investment risk monitoring with Qwen-Max AI, Slack & email alerts

Automate investment risk monitoring with Qwen-Max AI, Slack & email alerts

Ready for 3.0

by Cheng Siong Chin ✓ · 336 views · created 2025-12-24 · Document Extraction, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 17 nodes and runs on a schedule (every day at 06:00). Along the way it connects Gmail, Slack and OpenRouter Chat Model.

How it runs

Trigger: On a schedule (every day at 06:00).

  1. Workflow Configuration (Edit Fields (Set)): sets 9 fields: financialApiUrl, operationalApiUrl, legalApiUrl…
  2. Fetch Financial Data (HTTP Request): calls an HTTP API
  3. Fetch Operational Data (HTTP Request): calls an HTTP API
  4. Fetch Legal Data (HTTP Request): calls an HTTP API
  5. Fetch Insurance Data (HTTP Request): calls an HTTP API
  6. Fetch Regulatory Data (HTTP Request): calls an HTTP API
  7. Merge: merges the data from its input branches
  8. Risk Assessment AI Agent (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; output parser: Risk Score Output Parser
  9. Check for High Risk or Compliance Issues (If): checks a condition and branches into true / false
  10. Generate Corrective Actions (Code): runs custom JavaScript code

…plus 4 more steps. See the full node list below.

Services it uses

GmailSlackOpenRouter Chat Model

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (11)

From the author

How It Works Automates financial risk evaluation by intelligently consolidating information from five critical sources: financial, operational, legal, insurance, and regulatory systems. Hourly triggers enable continuous, AI-driven risk assessment using the…

Excerpt from Cheng Siong Chin's description on n8n.io.

View the original on n8n.io → Check your own copy

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