🌲GmailとGPT-40を使用してサステナビリティレポート監査を行うAIエージェント

中級

これはOther, AI分野の自動化ワークフローで、14個のノードを含みます。主にIf, Code, Gmail, GmailTrigger, Agentなどのノードを使用、AI技術を活用したスマート自動化を実現。 🌲 GmailとGPT-40を使用して持続可能性レポート監査を行うAIエージェント

前提条件
  • Googleアカウント + Gmail API認証情報
  • OpenAI API Key

カテゴリー

ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "meta": {
    "instanceId": "="
  },
  "nodes": [
    {
      "id": "a2d54127-d1d1-44d2-859e-b89e2e6c3b4d",
      "name": "If",
      "type": "n8n-nodes-base.if",
      "position": [
        260,
        260
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "=",
              "operator": {
                "type": "string",
                "operation": "contains"
              },
              "leftValue": "={{ $json.subject }}",
              "rightValue": "CSRD Reporting"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "6a664023-ea8c-4973-b3ac-13a9e0664a58",
      "name": "Check the format",
      "type": "n8n-nodes-base.code",
      "position": [
        960,
        260
      ],
      "parameters": {
        "jsCode": "const content = $input.first().json.xhtml_content;\n\n// Helper to extract tags\nfunction extractTags(tagName) {\n  const regex = new RegExp(`<${tagName}[^>]*>(.*?)<\\\\/${tagName}>`, 'gs');\n  let matches = [];\n  let match;\n  while ((match = regex.exec(content)) !== null) {\n    matches.push(match[1].trim());\n  }\n  return matches;\n}\n\n// Basic Tests\nconst headerPresent = /<ix:header>/i.test(content);\nconst governanceTag = /<ix:nonNumeric[^>]*name=\"esrs:SustainabilityGovernance\"/i.test(content);\nconst strategyTag = /<ix:nonNumeric[^>]*name=\"esrs:StrategySustainability\"/i.test(content);\n\n// KPI Tags\nconst kpiTags = [\"esrs:GHGScope1Emissions\", \"esrs:GHGScope2Emissions\", \"esrs:GHGScope3Emissions\"];\nconst kpiMatches = kpiTags.filter(tag => content.includes(tag));\n\n// Check for empty tags\nconst emptyNonNumeric = (content.match(/<ix:nonNumeric[^>]*>\\s*<\\/ix:nonNumeric>/g) || []).length;\n\n// Check duplicate text\nconst nonNumericValues = extractTags(\"ix:nonNumeric\");\nconst duplicates = [...new Set(nonNumericValues.filter((v, i, arr) => arr.indexOf(v) !== i))];\n\n// Final Result\nreturn [\n  {\n    json: {\n      audit_results:{\n      total_nonNumeric_tags: nonNumericValues.length,\n      total_kpis_found: kpiMatches.length,\n      empty_disclosures: emptyNonNumeric,\n      governance_check: governanceTag ? \"PASS\" : \"MISSING\",\n      strategy_check: strategyTag ? \"PASS\" : \"MISSING\",\n      header_check: headerPresent ? \"PASS\" : \"MISSING\",\n      duplicate_disclosures: duplicates,\n      }\n\n    }\n  }\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a16b613e-a7c2-4079-9ff9-46c485019ca3",
      "name": "AI エージェント",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1240,
        260
      ],
      "parameters": {
        "text": "=Generate an email to the sustainability team summarizing this CSRD XHTML report audit:\n\n{{JSON.stringify($json.audit_results, null, 2)}}\n\nReturn the output in the following JSON format:\n\n{\n  \"subject\": \"...\",\n  \"body\": \"...\"\n}",
        "options": {
          "systemMessage": "=You are LogiGreen CSRD Audit Bot, an ESG compliance assistant writing professional email summaries based on automated XHTML audits for CSRD compliance. Your role is to translate JSON audit results into clear, actionable summaries. Keep a neutral, helpful tone and highlight any risks or missing disclosures. Include key findings and suggest next steps if needed.\n\nWrite emails in plain English with no markdown (avoid **, #, ##, etc.).\nFormat your message with proper line breaks for readability.\nAlways sign with:\nBest regards,\nLogiGreen CSRD Audit Bot"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.8
    },
    {
      "id": "3dcbaf39-58be-465e-9ec2-0b2a9a8c8fe3",
      "name": "OpenAI チャットモデル",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1200,
        420
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "6e742627-f315-4ee2-be1b-023b38103978",
      "name": "構造化出力パーサー",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1500,
        440
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"subject\": \"CSRD XHTML Report Audit – Key Findings and Next Steps\",\n  \"body\": \"Content of the email\"\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "994e5b98-5bda-4a4f-a3eb-cb521de9d88a",
      "name": "Reply",
      "type": "n8n-nodes-base.gmail",
      "position": [
        1620,
        260
      ],
      "webhookId": "=",
      "parameters": {
        "message": "={{ $json.output.body }}",
        "options": {},
        "emailType": "text",
        "messageId": "={{ $('Gmail').item.json.id }}",
        "operation": "reply"
      },
      "notesInFlow": true,
      "typeVersion": 2.1
    },
    {
      "id": "8a7fbdcb-2197-437e-b3ba-126c7942ba4d",
      "name": "Extract the HTML",
      "type": "n8n-nodes-base.code",
      "position": [
        800,
        260
      ],
      "parameters": {
        "jsCode": "return [\n  {\n    json: {\n      xhtml_content:$input.first().json.data \n    }\n  }\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "90f271b9-4b8b-49ef-90cc-d10d8e22a203",
      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        20,
        -140
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 680,
        "content": "### 1. Workflow Trigger with Gmail Trigger\nThe workflow is triggered by a new email received in your Gmail mailbox. \nIf the subject includes the string \"CSRD Reporting\" we proceed, if not we do nothing.\n\n#### How to setup?\n- **Gmail Trigger Node:** set up your Gmail API credentials\n[Learn more about the Gmail Trigger Node](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.gmailtrigger)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "803a758c-fba4-4f48-818b-1272c4509e81",
      "name": "付箋",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        440,
        -140
      ],
      "parameters": {
        "color": 7,
        "width": 640,
        "height": 680,
        "content": "### 2. Extract and Process the xHTML report\nThis block extract the attachment file from the email, process the xHTML and perform the audit of the content.\n\n#### How to setup?\n- **Gmail Node:** set up your Gmail API credentials\n[Learn more about the Gmail Trigger Node](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.gmailtrigger)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "0b72f7d8-23ce-4243-b2e5-e3ff5c7f163e",
      "name": "付箋2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1120,
        -140
      ],
      "parameters": {
        "color": 7,
        "width": 640,
        "height": 680,
        "content": "### 3. AI Agent write and sends an audit report to the send\nThis summarize the results of the analysis in an email sent as a reply to the sender.\n\n#### How to setup?\n- **Gmail Node:** set up your Gmail API credentials\n[Learn more about the Gmail Trigger Node](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.gmailtrigger)\n- **AI Agent with the Chat Model**:\n   1. Add a **chat model** with the required credentials *(Example: Open AI 4o-mini)*\n   2. Adapt the system prompt to the format of emails you want to send\n  [Learn more about the AI Agent Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "18103fec-6761-4604-872e-dab251211ba0",
      "name": "HTML from binary",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        660,
        260
      ],
      "parameters": {
        "options": {},
        "operation": "text",
        "binaryPropertyName": "attachment_0"
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "5c31c49d-2324-4d08-a5b5-309925266517",
      "name": "メールトリガー",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        40,
        260
      ],
      "parameters": {
        "simple": false,
        "filters": {},
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "notesInFlow": true,
      "typeVersion": 1.2
    },
    {
      "id": "bacbd57d-af9b-49c8-82ae-c74aa2898fc8",
      "name": "Download Attachment",
      "type": "n8n-nodes-base.gmail",
      "position": [
        480,
        260
      ],
      "webhookId": "=",
      "parameters": {
        "simple": false,
        "options": {
          "downloadAttachments": true
        },
        "messageId": "={{ $json.id }}",
        "operation": "get"
      },
      "notesInFlow": true,
      "typeVersion": 2.1
    },
    {
      "id": "af087293-0c3c-4c96-9523-ddb9ed238e00",
      "name": "付箋3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1780,
        -140
      ],
      "parameters": {
        "width": 780,
        "height": 540,
        "content": "### 4. Do you need more details?\nFind a step-by-step guide in this tutorial\n![Guide](https://www.samirsaci.com/content/images/2025/04/temp-2.png)\n[🎥 Watch My Tutorial](https://www.youtube.com/watch?v=npeJZv5U7og)"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "AI Agent": {
      "main": [
        [
          {
            "node": "994e5b98-5bda-4a4f-a3eb-cb521de9d88a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Email Trigger": {
      "main": [
        [
          {
            "node": "a2d54127-d1d1-44d2-859e-b89e2e6c3b4d",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6a664023-ea8c-4973-b3ac-13a9e0664a58": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8a7fbdcb-2197-437e-b3ba-126c7942ba4d": {
      "main": [
        [
          {
            "node": "6a664023-ea8c-4973-b3ac-13a9e0664a58",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "18103fec-6761-4604-872e-dab251211ba0": {
      "main": [
        [
          {
            "node": "8a7fbdcb-2197-437e-b3ba-126c7942ba4d",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "AI Agent",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}
よくある質問

このワークフローの使い方は?

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか?

中級 - その他, 人工知能

有料ですか?

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。

ワークフロー情報
難易度
中級
ノード数14
カテゴリー2
ノードタイプ9
難易度説明

経験者向け、6-15ノードの中程度の複雑さのワークフロー

作成者
Samir Saci

Samir Saci

@samirsaci

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

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34