Automate investment risk monitoring with Qwen-Max AI, Slack & email alerts
Ready for 3.0What 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).
- Workflow Configuration (Edit Fields (Set)): sets 9 fields: financialApiUrl, operationalApiUrl, legalApiUrl…
- Fetch Financial Data (HTTP Request): calls an HTTP API
- Fetch Operational Data (HTTP Request): calls an HTTP API
- Fetch Legal Data (HTTP Request): calls an HTTP API
- Fetch Insurance Data (HTTP Request): calls an HTTP API
- Fetch Regulatory Data (HTTP Request): calls an HTTP API
- Merge: merges the data from its input branches
- Risk Assessment AI Agent (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; output parser: Risk Score Output Parser
- Check for High Risk or Compliance Issues (If): checks a condition and branches into true / false
- Generate Corrective Actions (Code): runs custom JavaScript code
…plus 4 more steps. See the full node list below.
Services it uses
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)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - If
n8n-nodes-base.if - Code
n8n-nodes-base.code - Gmail
n8n-nodes-base.gmail - Slack
n8n-nodes-base.slack - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Merge
n8n-nodes-base.merge
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…