Templates / Reconcile bank transactions and generate reports with GPT-4 and Gmail

Reconcile bank transactions and generate reports with GPT-4 and Gmail

Ready for 3.0

by Cheng Siong Chin ✓ · 406 views · created 2026-01-01 · 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 31 nodes and runs on a schedule (every day at 02:00). Along the way it connects OpenAI Chat Model and Gmail.

How it runs

Trigger: On a schedule (every day at 02:00).

  1. Workflow Configuration (Edit Fields (Set)): sets 7 fields: bankApiUrl, accountingSystemApiUrl, journalEntryApiUrl…
  2. Fetch Bank Transactions (HTTP Request): calls an HTTP API
  3. Fetch Accounting System Data (HTTP Request): calls an HTTP API
  4. Combine Financial Data (Merge): merges the data from its input branches
  5. Transaction Classifier Agent (AI Agent): runs an AI agent, with model: OpenAI GPT; 1 tool (Calculator); output parser: Transaction Classification Schema
  6. Account Reconciliation Agent (AI Agent): runs an AI agent, with model: OpenAI; 1 tool (Calculator); output parser: Reconciliation Schema
  7. Journal Entry Generator Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-; 1 tool (Calculator); output parser: Journal Entry Schema
  8. Error Detection Agent (AI Agent): runs an AI agent, with 1 tool (Calculator); output parser: Error Detection Schema
  9. Post Journal Entries to System (HTTP Request): calls an HTTP API (POST)
  10. Check for Errors (If): checks a condition and branches into true / false

…plus 6 more steps. See the full node list below.

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 (12)

From the author

How It Works This workflow automates end-to-end financial transaction processing for finance teams managing high-volume bank data. It eliminates manual reconciliation by intelligently classifying transactions, detecting anomalies, and generating executive…

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

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

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