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

Cheng Siong ChinCheng Siong Chin
69 views
2/3/2026
AIGoogle SheetsData ExtractionInvoice AutomationPDF Processing
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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 summaries. The system pulls transaction data from Fable Bank, routes it through multiple AI models (OpenAI GPT-4, NVIDIA NIM) for classification and analysis, reconciles accounts, and distributes formatted reports via email. Finance managers and accounting teams benefit from reduced processing time, improved accuracy, and real-time anomaly detection. The workflow handles transaction categorization, reconciliation schema generation, account matching, journal entry creation, and comprehensive reporting—transforming hours of manual work into minutes of automated processing with AI-enhanced accuracy.

Setup Steps

  1. Configure Fable Bank API credentials for transaction data access
  2. Add OpenAI API key for GPT-4 classification and reconciliation models
  3. Set up NVIDIA NIM credentials for anomaly detection services
  4. Connect Google Sheets for reconciliation schema storage
  5. Configure Gmail account for automated report distribution

Prerequisites

OpenAI API account with GPT-4 access

Use Cases

Monthly financial close automation, daily transaction monitoring for fraud detection

Customization

Replace Fable Bank with your banking API

Benefits

Reduces reconciliation time by 90%, eliminates manual data entry errors

n8n Bank Transaction Reconciliation and Reporting with GPT-4 and Gmail

This n8n workflow automates the process of reconciling bank transactions, generating reports using an AI agent (likely GPT-4), and sending these reports via Gmail. It's designed to simplify financial oversight by leveraging AI for analysis and email for distribution.

What it does

This workflow performs the following key steps:

  1. Triggers on Schedule: The workflow is initiated on a predefined schedule, ensuring regular reconciliation and reporting.
  2. Fetches Data (Placeholder): An HTTP Request node is present, which is typically used to fetch data from an external API. In the context of "bank transactions", this node would likely be configured to retrieve transaction data from a bank's API or a financial service.
  3. Applies Conditional Logic: An If node allows for conditional branching based on the data received. This could be used to filter transactions, check for specific conditions, or determine if further processing is needed.
  4. Prepares Data: An Edit Fields (Set) node is used to transform or add data fields as needed before further processing. This could involve cleaning data, adding metadata, or structuring the input for the AI agent.
  5. Analyzes with AI Agent (GPT-4): An AI Agent node (likely configured with an OpenAI Chat Model, such as GPT-4) is used to process the transaction data. This agent can perform complex tasks like:
    • Reconciliation: Identifying matching transactions, flagging discrepancies, or categorizing expenses.
    • Reporting: Summarizing financial activity, identifying trends, or generating insights.
    • Utilizes Tools: The AI Agent is equipped with a Calculator tool, enabling it to perform mathematical operations during its analysis, which is crucial for financial reconciliation.
  6. Parses AI Output: A Structured Output Parser node is used to extract structured information from the AI agent's response, ensuring the generated report or reconciliation details are in a usable format (e.g., JSON).
  7. Aggregates Data: An Aggregate node combines multiple data items into a single collection, useful for consolidating reconciliation results or report sections.
  8. Sends Reports via Gmail: A Gmail node is configured to send emails. This would typically be used to distribute the AI-generated reconciliation reports or summaries to relevant stakeholders.
  9. Provides Notes: A Sticky Note is included, likely for documentation or temporary notes within the workflow.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • OpenAI Account & API Key: For the OpenAI Chat Model and AI Agent nodes to function, you'll need an OpenAI API key with access to models like GPT-4.
  • Google Account: For the Gmail node to send emails, you'll need a Google account and appropriate n8n credentials configured for Gmail.
  • Bank/Financial Service API Access: (Implied by HTTP Request node) Access to an API that provides bank transaction data.
  • n8n Credentials: Appropriate n8n credentials configured for OpenAI and Google (Gmail).

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI API Key credential for the OpenAI Chat Model node.
    • Set up your Google OAuth2 credential for the Gmail node.
  3. Configure HTTP Request:
    • Update the HTTP Request node to connect to your bank or financial service API.
    • Configure the URL, authentication, and any necessary headers or body to fetch transaction data.
  4. Customize AI Agent:
    • Review and adjust the prompt for the AI Agent node to define the specific reconciliation and reporting tasks you want it to perform.
    • Ensure the Structured Output Parser is configured to match the expected output format from your AI agent.
  5. Customize Gmail:
    • Configure the Gmail node with the recipient email addresses, subject line, and email body for your reports. You can use expressions to dynamically include data from the AI agent's output.
  6. Set Schedule:
    • Adjust the Schedule Trigger node to your desired frequency for running the reconciliation process (e.g., daily, weekly, monthly).
  7. Activate Workflow: Once configured, activate the workflow to start automating your bank transaction reconciliation and reporting.

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