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Analyze public consultation data and coordinate governance with Claude AI

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Analyze public consultation data and coordinate governance with Claude AI preview
Open on n8n.io

1. Workflow Overview

How It Works This workflow automates environmental, social, and governance (ESG) data collection, compliance validation, and sustainability reporting for corporations managing complex regulatory re...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.lmchatanthropic, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.aggregate

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title
Analyze public consultation data and coordinate governance with Claude AI
Workflow name
Analyze public consultation data and coordinate governance with Claude AI

How It Works

This workflow automates environmental, social, and governance (ESG) data collection, compliance validation, and sustainability reporting for corporations managing complex regulatory requirements and stakeholder transparency expectations. Designed for sustainability officers, compliance teams, and investor relations departments, it solves the challenge of aggregating ESG metrics across global operations, validating data accuracy, and generating standardized reports for multiple frameworks. The system schedules regular monitoring, fetches consolidated ESG data from operational systems, generates S&D (sustainability and disclosure) submissions, validates compliance through dual AI agents (Compliance Analyzer ensures regulatory adherence, Decision Coordination orchestrates specialized sub-agents for aggregate analysis, traceability monitoring, summary generation, and governance reporting), checks star ratings for data quality, routes findings by compliance status (critical/routine), and produces standardized reports with traceability records. Organizations achieve 90% reduction in reporting cycle time, ensure multi-framework compliance, eliminate manual data aggregation errors, and maintain complete audit trails for regulatory scrutiny.

Setup Steps

  1. Connect Schedule Trigger for monitoring frequency
  2. Configure ESG data sources with API credentials
  3. Add AI model API keys to Compliance Analyzer and Decision Coordination Agent nodes
  4. Define reporting frameworks and compliance requirements in agent prompts
  5. Set quality rating thresholds for data completeness and materiality scoring parameters
  6. Configure alert mechanisms for critical compliance gaps requiring immediate remediation

Prerequisites

ESG data management system access, AI service accounts

Use Cases

Carbon emissions tracking and reporting, supply chain sustainability monitoring

Customization

Modify agent prompts for industry-specific materiality topics

Benefits

Reduces reporting cycle time by 90%, ensures multi-framework compliance simultaneously

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - Workflow Configuration

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Fetch Consultation Data

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 4 - Split Submissions

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 5 - Anthropic Model - Analysis

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Block 6 - Analysis Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 7 - Consultation Analysis Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 8 - Aggregate Analysis Results

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 9 - Anthropic Model - Governance

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Block 10 - Bias Detection Tool

Type / Role
@n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices
Version 1.3

Block 11 - Traceability Record Tool

Type / Role
@n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices
Version 1.3

Block 12 - Summary Generation Tool

Type / Role
@n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices
Version 1.3

Block 13 - Governance Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 14 - Decision Governance Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 15 - Route by Escalation Level

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.4

Block 16 - Prepare Critical Escalation

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 17 - Prepare Standard Report

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 18 - Prepare Routine Update

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 19 - Store Traceability Records

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 20 - Check for Bias Flags

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 21 - Flag Bias Alert

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 22 - Merge Escalation Paths

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 23 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 24 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Showing the first 24 of 28 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Analyze public consultation data and coordinate governance with Claude AI
Complexity advanced
Nodes 28
Categories Market Research, AI Summarization
Author Cheng Siong Chin
Published 12 Feb 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/13335/13335.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Analyze public consultation data and coordinate governance with Claude AI do?

How It Works This workflow automates environmental, social, and governance (ESG) data collection, compliance validation, and sustainability reporting for corporations managing complex regulatory re...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.