Templates / Automate tax compliance validation with OpenAI anomaly detection & accounting integration

Automate tax compliance validation with OpenAI anomaly detection & accounting integration

Ready for 3.0

by Cheng Siong Chin ✓ · 402 views · created 2025-12-17 · 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 week at 09:00). Along the way it connects OpenAI Chat Model and Gmail.

How it runs

Trigger: On a schedule (every week at 09:00).

  1. Workflow Configuration (Edit Fields (Set)): sets 4 fields: revenueApiUrl, accountingSoftwareApiUrl, taxAgentEmail…
  2. Fetch Revenue Data (HTTP Request): calls an HTTP API
  3. Tax Categorization Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Categorization; output parser: Categorization Output Schema
  4. Anomaly Detection Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Anomaly Detection; output parser: Anomaly Detection Output Schema
  5. Check for Anomalies (If): checks a condition and branches into true / false
  6. Correction Agent (AI Agent): runs an AI agent, with model: OpenAI Model - Correction; output parser: Correction Output Schema
  7. Aggregate: combines items into one
  8. Sync to Accounting Software (HTTP Request): calls an HTTP API (POST)
  9. Generate Compliance Summary (Code): runs custom JavaScript code
  10. Send Summary to Tax Agent (Gmail): uses Gmail

Services it uses

OpenAI Chat ModelGmail

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)

From the author

How It Works Automates revenue data validation and intelligent anomaly detection with scheduled weekly processing. Fetches revenue data, applies dual OpenAI models for categorization and anomaly detection, identifies outliers or suspicious patterns, and…

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

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

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