Automated CSRD Report Auditor using AI and Custom Code - n8n Workflow

Audit incoming CSRD XHTML sustainability reports automatically using a sophisticated n8n workflow. This n8n template uses custom JavaScript and GPT-4o AI agents for validation and automated email reporting.

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Who is this best for?


  • Sustainability and ESG Compliance Officers needing instant validation checks.

  • Reporting teams that submit large technical compliance files (like XHTML).

  • Companies looking to automate quality control for regulatory filings.

  • n8n users seeking advanced examples of code nodes combined with AI agents.

Overview

The challenge of rapidly validating technical compliance documents like Corporate Sustainability Reporting Directive (CSRD) reports can be immense, requiring manual review of complex XHTML tag structures. This robust n8n workflow solves this by combining custom scripting logic with advanced generative AI. It acts as an automated 'LogiGreen CSRD Audit Bot,' ensuring key governance, strategy, and KPI tags are present in submitted XHTML files. The automation starts with a Gmail trigger n8n node, initiating the process upon receiving a relevant email. This specific n8n workflow provides a high-value, instant feedback loop to reporting teams. By leveraging this complex n8n template, organizations can drastically speed up their compliance checks and identify immediate gaps, making the n8n platform an indispensable tool for technical validation.

How it Works

The process begins with the n8n trigger: A new email is detected by the Email Trigger n8n node (Gmail Trigger). The workflow immediately passes the message to an If n8n node, which verifies if the subject line includes the specific phrase 'CSRD Reporting'. If the condition is met, a Gmail n8n node downloads the attachment containing the XHTML report.

Next, the HTML from binary n8n node extracts the textual content from the file. A subsequent Code n8n node (Check the format) executes complex JavaScript and regular expressions to perform the core audit. This custom code checks for mandatory elements such as , governance tags, strategy tags, and key KPI disclosures (Scope 1, 2, 3 emissions). This custom n8n node generates a structured JSON object detailing the audit results.

This structured data is then sent to the AI Agent n8n node, which is connected to the OpenAI Chat Model (using gpt-4o-mini). The agent's specialized system prompt ensures it translates the technical JSON findings into a professional, actionable email summary. A Structured Output Parser n8n node guarantees the AI output adheres strictly to the required subject and body JSON format. Finally, the generated subject and body are used by the final Gmail n8n node (Reply) to send a complete, automated reply to the original sender.

Installation Guide


  1. Import the n8n Workflow: Copy the provided JSON code and paste it into your n8n instance using the 'New' -> 'Import from JSON' option.

  2. Set up Gmail Credentials: Both the Email Trigger and the Reply n8n nodes require valid Gmail API credentials. Ensure your credentials allow for reading emails and sending replies.

  3. Set up OpenAI Credentials: The OpenAI Chat Model n8n node requires valid OpenAI API key credentials (recommended model: gpt-4o-mini).

  4. Review the Filter: Check the configuration of the If n8n node to ensure the subject line filtering criteria ('CSRD Reporting') matches your operational requirements.

  5. Activate the n8n trigger: Ensure the Email Trigger n8n node is active and the entire n8n workflow is enabled to start monitoring for incoming reports.

Node Details

Email Trigger (n8n trigger)

Function: Starts the n8n workflow when a new email is received in the configured mailbox.
Key Configuration: Simple polling mode, configured to check for new messages frequently.

If (n8n node)

Function: Acts as a filter, ensuring the n8n workflow only proceeds if the email subject contains the string 'CSRD Reporting'.
Key Configuration: Condition checks {{ $json.subject }} for the string 'CSRD Reporting' using a 'contains' operation.

Download Attachment (Gmail n8n node)

Function: Retrieves the email and downloads any associated attachments to the n8n context.
Key Configuration: Operation set to get, with the option downloadAttachments enabled.

HTML from binary (n8n node)

Function: Extracts the textual content from the binary attachment (the XHTML file) so it can be processed by code.
Key Configuration: Operation set to text, targeting the default binary property attachment0.

Check the format (Code n8n node)

Function: Performs the core technical audit using JavaScript and regex to validate CSRD compliance markers (e.g., checking for header presence, governance tags, KPI tags, and duplicates).
Key Configuration: Custom JavaScript logic generating a comprehensive audit
results JSON object.

OpenAI Chat Model (n8n node)

Function: Provides the large language model backend for the AI agent.
Key Configuration: Uses gpt-4o-mini for efficient, high-quality generation.

AI Agent (n8n node)

Function: Orchestrates the prompt, using the audit_results JSON and a sophisticated system message to generate the final email content.
Key Configuration: System message defines the 'LogiGreen CSRD Audit Bot' persona, output prompt requests specific JSON format (subject, body).

Structured Output Parser (n8n node)

Function: Ensures the AI Agent's output strictly conforms to the expected JSON schema, guaranteeing reliable data structure for the reply n8n node.
Key Configuration: Schema defined for subject and body fields.

Reply (Gmail n8n node)

Function: Sends the AI-generated audit summary email back to the original sender.
Key Configuration: Operation set to reply, using dynamic expressions to inject the AI output for message and specifying the original messageId.

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Nodes: 9 Nodes
Updated: December 26 2025
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Created by

Automation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci

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