{"workflow":{"id":12547,"name":"Route and review finance documents from Google Drive with AI, Notion, Gmail, Slack, and Google Sheets","views":118,"recentViews":0,"totalViews":118,"createdAt":"2026-01-07T12:21:33.261Z","description":"# Intelligent Multi-Source Document Orchestrator: AI Triage & Multi-Tier Routing\n\n## 🎯 Description\nThis is an enterprise-grade **Intelligent Document Processing (IDP)** hub designed to handle high-volume document ingestion, classification, and departmental routing. It transforms monolithic bulk scans into actionable data streams by leveraging a \"Split-Extract-Route\" architecture.\n\n\n\n### ✨ The Orchestration Lifecycle\n1. **Intake Layer** - Aggregates document triggers from **Google Drive**, **Webhooks**, and **Scheduled Tasks**. It implements a strict file integrity check to ensure only healthy binaries enter the pipeline.\n2. **Document Atomization** - Utilizes the **HTML to PDF (Split)** node to explode multi-page bulk scans into individual, manageable pages. This ensures that a single PDF containing an invoice, a contract, and a payroll slip is correctly decomposed for separate processing.\n3. **AI Extraction & Intelligence** - A sophisticated Code Node acts as the \"Brain,\" using regex and keyword logic to classify documents (Invoices, Payroll, Legal, POs) and extract structured metadata (Amounts, Vendors, Due Dates) with confidence scoring.\n4. **Smart Routing Matrix** - Documents are contextually routed based on department and value:\n    - **Invoices & POs:** High-value items (&gt;$5,000) trigger a priority escalation track.\n    - **Legal & Payroll:** Grouped and logged for standard departmental audit.\n5. **High-Value Escalation** - For critical financial items, the system creates an approval task in **Notion** and sends an urgent escalation email via **Gmail** to the CFO/Manager.\n6. **Quality Assurance & Alerts** - Low-confidence extractions (&lt;85%) are automatically quarantined, triggering a **Slack** alert for immediate manual team review.\n7. **Forensic Audit Logging** - Every action, confidence score, and routing decision is appended to a **Google Sheets** master audit log for total transparency and compliance.\n\n\n\n### 💡 Key Technical Features\n- **Conditional Gating:** Multi-tier IF nodes ensure that documents only proceed once they meet specific quality and value thresholds.\n- **Binary Integrity Guard:** Prevents workflow crashes by validating file data before intensive AI processing.\n- **Bi-Directional Governance:** Simultaneously updates Notion for task management and Google Sheets for historical reporting.\n\n### 🚀 Benefits\n✅ **Zero Manual Sorting** - Automates the transition from \"Bulk Scan\" to \"Departmental Action.\"\n✅ **Risk Mitigation** - High-value items and low-confidence data are surfaced immediately for human oversight.\n✅ **Regulatory Compliance** - Every document lifecycle is tracked with a permanent, immutable audit trail.\n\n---\n**Tags:** #IDP #AI #document-intelligence #notion #slack #automation #fintech\n\n**Category:** Finance & Operations | **Difficulty:** Advanced","workflow":{"meta":{"instanceId":"277842713620d9f5554de3b1518b865a152c8c4db680008bd8aec536fc18b4a8","templateCredsSetupCompleted":true},"nodes":[{"id":"2a4677dd-411b-4ce5-a338-451aa90389f4","name":"AI: Extract & Classify","type":"n8n-nodes-base.code","position":[2416,4016],"parameters":{"jsCode":"// Advanced AI-powered document classification with data extraction\nconst item = $input.first().json;\nconst text = item.text || '';\n\n// Initialize document metadata\nlet docType = 'unknown';\nlet extractedData = {};\nlet confidence = 0;\n\n// Invoice Detection & Extraction\nif (text.match(/\\b(invoice|bill|payment due|total amount)\\b/i)) {\n    docType = 'invoice';\n    confidence = 0.95;\n    \n    // Extract invoice number\n    const invoiceMatch = text.match(/invoice[\\s#:]*([A-Z0-9-]+)/i);\n    extractedData.invoiceNumber = invoiceMatch ? invoiceMatch[1] : 'N/A';\n    \n    // Extract amount with multiple currency formats\n    const amountMatch = text.match(/(?:total|amount|due)[:\\s$€£]*([0-9,]+\\.?[0-9]{0,2})/i);\n    extractedData.amount = amountMatch ? parseFloat(amountMatch[1].replace(/,/g, '')) : 0;\n    \n    // Extract vendor name\n    const vendorMatch = text.match(/(?:from|vendor|supplier)[:\\s]*([A-Z][a-z\\s&]+)/i);\n    extractedData.vendor = vendorMatch ? vendorMatch[1].trim() : 'Unknown';\n    \n    // Extract due date\n    const dateMatch = text.match(/due[\\s:]*([0-9]{1,2}[\\/\\-][0-9]{1,2}[\\/\\-][0-9]{2,4})/i);\n    extractedData.dueDate = dateMatch ? dateMatch[1] : null;\n}\n// Payroll Detection & Extraction\nelse if (text.match(/\\b(payroll|salary|wage|timesheet|hours worked)\\b/i)) {\n    docType = 'payroll';\n    confidence = 0.92;\n    \n    // Extract employee ID\n    const empMatch = text.match(/(?:employee|emp)[\\s#:]*([A-Z0-9-]+)/i);\n    extractedData.employeeId = empMatch ? empMatch[1] : 'N/A';\n    \n    // Extract hours worked\n    const hoursMatch = text.match(/(?:hours|hrs)[\\s:]*([0-9]+\\.?[0-9]*)/i);\n    extractedData.hoursWorked = hoursMatch ? parseFloat(hoursMatch[1]) : 0;\n    \n    // Extract pay period\n    const periodMatch = text.match(/period[\\s:]*([0-9]{1,2}[\\/\\-][0-9]{1,2}[\\s-to-]*[0-9]{1,2}[\\/\\-][0-9]{1,2})/i);\n    extractedData.payPeriod = periodMatch ? periodMatch[1] : null;\n    \n    extractedData.amount = 0; // Default for routing logic\n}\n// Legal Document Detection\nelse if (text.match(/\\b(contract|agreement|NDA|terms and conditions|legal notice)\\b/i)) {\n    docType = 'legal';\n    confidence = 0.88;\n    \n    // Extract contract type\n    const contractMatch = text.match(/([A-Z][a-z]+)\\s+(?:contract|agreement)/i);\n    extractedData.contractType = contractMatch ? contractMatch[1] : 'General';\n    \n    // Extract parties involved\n    const partiesMatch = text.match(/between[\\s:]*([A-Z][a-z\\s&,]+)\\s+and\\s+([A-Z][a-z\\s&,]+)/i);\n    if (partiesMatch) {\n        extractedData.party1 = partiesMatch[1].trim();\n        extractedData.party2 = partiesMatch[2].trim();\n    }\n    \n    // Extract effective date\n    const effDateMatch = text.match(/effective[\\s:]*([0-9]{1,2}[\\/\\-][0-9]{1,2}[\\/\\-][0-9]{2,4})/i);\n    extractedData.effectiveDate = effDateMatch ? effDateMatch[1] : null;\n    \n    extractedData.amount = 0;\n}\n// Purchase Order Detection\nelse if (text.match(/\\b(purchase order|PO|requisition|procurement)\\b/i)) {\n    docType = 'purchase_order';\n    confidence = 0.90;\n    \n    const poMatch = text.match(/(?:PO|purchase order)[\\s#:]*([A-Z0-9-]+)/i);\n    extractedData.poNumber = poMatch ? poMatch[1] : 'N/A';\n    \n    const amountMatch = text.match(/(?:total|amount)[:\\s$€£]*([0-9,]+\\.?[0-9]{0,2})/i);\n    extractedData.amount = amountMatch ? parseFloat(amountMatch[1].replace(/,/g, '')) : 0;\n}\n\n// Apply extracted data to item\nitem.type = docType;\nitem.confidence = confidence;\nitem.extractedData = extractedData;\nitem.amount = extractedData.amount || 0;\nitem.processedAt = new Date().toISOString();\nitem.requiresReview = confidence < 0.85;\n\n// Add metadata for tracking\nitem.wordCount = text.split(/\\s+/).length;\nitem.pageLength = text.length;\n\nreturn { json: item };"},"typeVersion":2},{"id":"0bf0d913-02bb-49f7-901d-37a705a4e4ab","name":"Notion: Create Approval Task","type":"n8n-nodes-base.notion","position":[3072,3968],"parameters":{"resource":"database","operation":"createPage"},"typeVersion":2},{"id":"0d8b7384-375a-4d57-9f3d-7d4ef622a208","name":"IF: Quality Check Required?","type":"n8n-nodes-base.if","position":[2880,4144],"parameters":{"options":{},"conditions":{"options":{"combineOperation":"any"},"combinator":"or","conditions":[{"operator":{"type":"number","operation":"lt"},"leftValue":"={{ $json.confidence }}","rightValue":0.85},{"operator":{"type":"boolean","operation":"equals"},"leftValue":"={{ $json.requiresReview }}","rightValue":true}]}},"typeVersion":2},{"id":"110c2204-a997-40fd-bc0c-1c9ed3cdbd5c","name":"Slack: Alert Team","type":"n8n-nodes-base.slack","position":[3056,4256],"webhookId":"80b3f453-ae9e-4ea2-ac97-9cbab5bf222a","parameters":{"text":"=📋 *Manual Review Required*\n\n*Document Type:* {{ $json.type }}\n*Confidence:* {{ ($json.confidence * 100).toFixed(0) }}%\n*Extracted Amount:* ${{ $json.amount }}\n*Invoice:* {{ $json.extractedData?.invoiceNumber || 'N/A' }}\n*Vendor:* {{ $json.extractedData?.vendor || 'Unknown' }}\n\n⚠️ Low confidence score - please verify extracted data manually.","otherOptions":{}},"typeVersion":2.1},{"id":"3808cc7a-c6b1-4572-b73a-434d83f575cd","name":"Log to Audit Sheet","type":"n8n-nodes-base.googleSheets","position":[3280,4128],"parameters":{"columns":{"value":{"Amount":"={{ $json.amount }}","Status":"Processed","Vendor":"={{ $json.extractedData?.vendor || 'N/A' }}","Due Date":"={{ $json.extractedData?.dueDate || 'N/A' }}","Escalated":"={{ $json.amount > 5000 ? 'Yes' : 'No' }}","Timestamp":"={{ $json.processedAt }}","Confidence":"={{ ($json.confidence * 100).toFixed(2) }}%","Document Type":"={{ $json.type }}","Invoice Number":"={{ $json.extractedData?.invoiceNumber || 'N/A' }}","Requires Review":"={{ $json.requiresReview ? 'Yes' : 'No' }}"},"schema":[{"id":"Timestamp","type":"string","display":true,"required":false,"displayName":"Timestamp","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Document Type","type":"string","display":true,"required":false,"displayName":"Document Type","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Amount","type":"number","display":true,"required":false,"displayName":"Amount","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":true,"convertFieldsToString":true},"options":{},"operation":"append","sheetName":"Sheet1","documentId":"YOUR_SHEET_ID"},"credentials":{"googleSheetsOAuth2Api":{"id":"credential-id","name":"Google Sheets account - Deepanshi"}},"typeVersion":4},{"id":"c3b9b463-65c1-4404-85db-18fb46236119","name":"Sticky Note: Intake","type":"n8n-nodes-base.stickyNote","position":[1312,3888],"parameters":{"color":7,"width":380,"height":340,"content":"### 📥 INTAKE LAYER\nScheduled & webhook triggers feed documents into the system"},"typeVersion":1},{"id":"196562aa-9cc4-46a9-bb15-8689c7d16817","name":"Sticky Note: AI Processing","type":"n8n-nodes-base.stickyNote","position":[1744,3888],"parameters":{"color":7,"width":580,"height":340,"content":"### 🔬 EXTRACTION & INTELLIGENCE\nOCR extracts text, AI classifies documents and extracts structured data with confidence scoring"},"typeVersion":1},{"id":"b30da001-a411-4483-b075-318722c6a0e7","name":"Sticky Note: Smart Routing","type":"n8n-nodes-base.stickyNote","position":[2368,3888],"parameters":{"color":7,"width":680,"height":340,"content":"### 🎯 ROUTING & APPROVAL\nDepartmental routing with multi-tier approval workflows and quality checks"},"typeVersion":1},{"id":"db6ce707-cdf2-4d12-a8ba-a5fba21df300","name":"Sticky Note: Output Layer","type":"n8n-nodes-base.stickyNote","position":[3040,3664],"parameters":{"color":7,"width":412,"height":804,"content":"### ✅ AUDIT & ALERTS\nNotion tasks, Gmail escalations, Slack alerts, and comprehensive audit logging"},"typeVersion":1},{"id":"18774067-9adc-400a-95b1-b040b0ef3194","name":"Trigger: Daily Schedule1","type":"n8n-nodes-base.scheduleTrigger","position":[1344,3984],"parameters":{"rule":{"interval":[{"field":"hours"}]}},"typeVersion":1.1},{"id":"7f03b5eb-1dfd-4919-95e0-ef595842bd0a","name":"Trigger: Webhook Scan1","type":"n8n-nodes-base.webhook","position":[1344,4096],"webhookId":"4bb73c13-d6c9-4876-bdc2-0f63a8016142","parameters":{"path":"manual-trigger-scan","options":{},"httpMethod":"POST"},"typeVersion":1},{"id":"9601d3e4-47c3-428d-b277-e43d8b8b6db8","name":"Fetch Bulk Scan from Drive1","type":"n8n-nodes-base.googleDrive","position":[1584,4016],"parameters":{"fileId":"={{ $json.body?.fileId || 'YOUR_DEFAULT_ID' }}","options":{},"operation":"download"},"credentials":{"googleDriveOAuth2Api":{"id":"credential-id","name":"PDFMunk - Jitesh"}},"typeVersion":3},{"id":"5daa3796-51b8-4c4c-85c9-d360dc682a4c","name":"Verify File Integrity1","type":"n8n-nodes-base.code","position":[1792,4016],"parameters":{"jsCode":"const binary = $input.first().binary;\nif (!binary || !binary.data) throw new Error('No valid binary data.');\nreturn { json: { status: 'Ready', receivedAt: new Date().toISOString() } };"},"typeVersion":2},{"id":"4de9a2bc-9362-48df-a14f-05163d5b34d5","name":"Split PDF into Pages1","type":"n8n-nodes-htmlcsstopdf.htmlcsstopdf","position":[2000,4016],"parameters":{"resource":"pdfManipulation","operation":"splitPdf"},"credentials":{"htmlcsstopdfApi":{"id":"credential-id","name":"pdf munk - deepanshi"}},"typeVersion":1},{"id":"a459d73f-9717-4e2b-b880-6a865047f84c","name":"Route by Department1","type":"n8n-nodes-base.switch","position":[2640,4016],"parameters":{"rules":{"rules":[{"value2":"invoice"},{"output":1,"value2":"payroll"},{"output":2,"value2":"legal"},{"output":3,"value2":"purchase_order"}]},"value1":"={{ $json.type }}","dataType":"string"},"typeVersion":1},{"id":"060b9e8d-07ff-47ac-8da3-d8415f120602","name":"Escalate High Value?1","type":"n8n-nodes-base.if","position":[2880,3904],"parameters":{"conditions":{"number":[{"value1":"={{ $json.amount }}","value2":5000,"operation":"larger"}]}},"typeVersion":1},{"id":"fab141d7-35d2-4542-87af-0179ef88ba90","name":"Escalate to CFO (Gmail)1","type":"n8n-nodes-base.gmail","position":[3280,3792],"webhookId":"bed3a176-09c5-4d05-b86f-d2b1389cc60e","parameters":{"sendTo":"user@example.com","message":"=<h2>Invoice Approval Required</h2>\n<p><strong>Invoice Number:</strong> {{ $json.extractedData?.invoiceNumber }}</p>\n<p><strong>Vendor:</strong> {{ $json.extractedData?.vendor }}</p>\n<p><strong>Amount:</strong> ${{ $json.amount }}</p>\n<p><strong>Due Date:</strong> {{ $json.extractedData?.dueDate || 'Not specified' }}</p>\n<p><strong>Confidence:</strong> {{ ($json.confidence * 100).toFixed(0) }}%</p>\n<hr>\n<p>Please review in Notion and approve or reject.</p>","options":{},"subject":"=⚠️ High Value Invoice Approval Required - ${{ $json.amount }}"},"credentials":{"gmailOAuth2":{"id":"credential-id","name":"jitesh0dugar@gmail.com"}},"typeVersion":2.1},{"id":"b31bcab7-def8-48a6-84fd-3c6ebc04a4b9","name":"Main Documentation1","type":"n8n-nodes-base.stickyNote","position":[1264,3264],"parameters":{"color":6,"width":500,"height":580,"content":"## 🔍 How it works\nThis intelligent document processing workflow automatically handles bulk scans from Google Drive. After splitting PDFs page-by-page, it uses **OCR technology** to extract text, then applies **AI-powered classification** to identify invoices, payroll, legal docs, and purchase orders. The system extracts key data (amounts, vendor names, dates, invoice numbers) with confidence scoring.\n\n**Smart Routing:** Documents are routed by department, high-value invoices trigger CFO approval via Gmail + Notion, and low-confidence extractions alert the team via Slack for manual review. Every action is logged to Google Sheets for complete audit trails.\n\n## 🚀 Setup steps\n1. **Google Drive**: Connect your account and specify the folder ID for incoming scans\n2. **HTML to PDF Split**: Configure to explode multi-page PDFs into individual pages\n3. **OCR Node**: Enable text extraction from scanned images\n4. **AI Classification**: Customize extraction patterns in the Code node for your document types\n5. **Notion Database**: Create approval workflow database with required properties\n6. **Gmail**: Set CFO email and customize escalation message\n7. **Slack**: Connect workspace and set the review channel name\n8. **Audit Sheet**: Link your tracking spreadsheet with proper column headers"},"typeVersion":1},{"id":"b8641448-abae-4cec-9f81-d4965de22ee5","name":"Extract from File","type":"n8n-nodes-base.extractFromFile","position":[2208,4016],"parameters":{"options":{},"operation":"pdf"},"typeVersion":1.1}],"pinData":{},"connections":{"Extract from File":{"main":[[{"node":"AI: Extract & Classify","type":"main","index":0}]]},"Slack: Alert Team":{"main":[[{"node":"Log to Audit Sheet","type":"main","index":0}]]},"Route by Department1":{"main":[[{"node":"Escalate High Value?1","type":"main","index":0},{"node":"IF: Quality Check Required?","type":"main","index":0}],[{"node":"Log to Audit Sheet","type":"main","index":0}],[{"node":"Log to Audit Sheet","type":"main","index":0}],[{"node":"Escalate High Value?1","type":"main","index":0},{"node":"IF: Quality Check Required?","type":"main","index":0}]]},"Escalate High Value?1":{"main":[[{"node":"Notion: Create Approval Task","type":"main","index":0}],[{"node":"Log to Audit Sheet","type":"main","index":0}]]},"Split PDF into Pages1":{"main":[[{"node":"Extract from File","type":"main","index":0}]]},"AI: Extract & Classify":{"main":[[{"node":"Route by Department1","type":"main","index":0}]]},"Trigger: Webhook Scan1":{"main":[[{"node":"Fetch Bulk Scan from Drive1","type":"main","index":0}]]},"Verify File Integrity1":{"main":[[{"node":"Split PDF into Pages1","type":"main","index":0}]]},"Escalate to CFO (Gmail)1":{"main":[[{"node":"Log to Audit Sheet","type":"main","index":0}]]},"Trigger: Daily Schedule1":{"main":[[{"node":"Fetch Bulk Scan from Drive1","type":"main","index":0}]]},"Fetch Bulk Scan from Drive1":{"main":[[{"node":"Verify File Integrity1","type":"main","index":0}]]},"IF: Quality Check Required?":{"main":[[{"node":"Slack: Alert Team","type":"main","index":0}],[{"node":"Log to Audit Sheet","type":"main","index":0}]]},"Notion: Create Approval Task":{"main":[[{"node":"Escalate to CFO (Gmail)1","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":19,"nodeTypes":{"n8n-nodes-base.if":{"count":2},"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.gmail":{"count":1},"n8n-nodes-base.slack":{"count":1},"n8n-nodes-base.notion":{"count":1},"n8n-nodes-base.switch":{"count":1},"n8n-nodes-base.webhook":{"count":1},"n8n-nodes-base.stickyNote":{"count":5},"n8n-nodes-base.googleDrive":{"count":1},"n8n-nodes-base.googleSheets":{"count":1},"n8n-nodes-base.extractFromFile":{"count":1},"n8n-nodes-base.scheduleTrigger":{"count":1},"n8n-nodes-htmlcsstopdf.htmlcsstopdf":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Jitesh Dugar","username":"jiteshdugar","bio":"AI Automation Specialist - 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