Monitor revenue tax compliance and auto-correct anomalies with Anthropic, MagicCSV, Gmail and WhatsApp
Ready for 3.0What this workflow does
This AI workflow has 17 nodes and runs on a schedule (every week at 09:00). Along the way it connects Gmail, Anthropic Chat Model, WhatsApp Business Cloud and MCP Client.
How it runs
Trigger: On a schedule (every week at 09:00).
- Workflow Configuration (Edit Fields (Set)): sets 4 fields: accountingApiUrl, accountingApiKey, taxAgentEmail…
- Fetch Revenue Data (n8n): work with execution
- Tax Categorization Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Categorization; output parser: Categorization Output Parser
- Anomaly Detection Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Anomaly Detection; output parser: Anomaly Detection Output Parser
- Correction Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Correction; 1 tool (MCP Client Tool); output parser: Correction Output Parser
- Sync to Accounting Software (HTTP Request): calls an HTTP API (POST)
- Format Compliance Summary (Edit Fields (Set)): sets 6 fields: summaryTitle, reportDate, totalTransactionsReviewed…
- Send Summary to Tax Agent (Gmail): uses Gmail
- Send WhatsApp Alert (WhatsApp Business Cloud): send
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 - n8n
n8n-nodes-base.n8n - AI Agent
@n8n/n8n-nodes-langchain.agent - HTTP Request
n8n-nodes-base.httpRequest - Gmail
n8n-nodes-base.gmail - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - WhatsApp Business Cloud
n8n-nodes-base.whatsApp - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool
From the author
How It Works This workflow automates tax compliance monitoring and revenue analysis for accounting teams and finance managers handling multi-source income data. It solves the critical problem of manually tracking revenue streams, identifying tax anomalies,…