Detect transaction fraud and manage compliance with GPT-4 and Airtable
Ready for 3.0Ready 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 22 nodes and runs on a schedule (every 15 minutes). Along the way it connects Airtable and OpenAI Chat Model.
How it runs
Trigger: On a schedule (every 15 minutes).
- Workflow Configuration (Edit Fields (Set)): sets 4 fields: riskThresholdHigh, riskThresholdMedium, complianceFramework…
- Fetch Pending Transactions (Airtable): search
- Transaction Signal Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Transaction Signal; output parser: Transaction Signal Parser
- Route by Risk Level (Switch): routes items into 3 branches
- Compliance Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Compliance; 4 tools (Reporting Agent Tool, Risk Scoring Agent Tool, Investigation Agent Tool, Airtable Tool); output parser: Compliance Action Parser
- Merge: merges the data from its input branches
- Update Transaction Records (Airtable): update
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 (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Airtable
n8n-nodes-base.airtable - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Switch
n8n-nodes-base.switch - AI Agent Tool
@n8n/n8n-nodes-langchain.agentTool - Airtable Tool
n8n-nodes-base.airtableTool - Merge
n8n-nodes-base.merge
From the author
How It Works This workflow automates financial transaction monitoring, fraud detection, and regulatory compliance using OpenAI GPT-4 across coordinated specialist agents. It targets compliance officers, fraud analysts, and fintech operations teams managing…