{"workflow":{"id":13139,"name":"Monitor data integrity and route severity-based alerts with GPT-4o, email and Slack","views":8,"recentViews":0,"totalViews":8,"createdAt":"2026-02-01T04:57:58.539Z","description":"## How It Works\nThis workflow automates continuous data integrity monitoring and intelligent alert management across multiple data sources. Designed for data engineers, IT operations teams, and business intelligence analysts, it solves the critical challenge of detecting data anomalies and orchestrating appropriate responses based on severity levels. The system operates on scheduled intervals, fetching data from software metrics APIs and BI dashboards, then merging these sources for comprehensive analysis. It employs AI-powered validation and orchestration agents to detect anomalies, assess severity, and determine optimal response strategies. The workflow intelligently routes alerts based on severity classification, triggering critical notifications via email and Slack for high-priority issues while sending standard reports for routine findings. By maintaining detailed compliance audit logs and preparing executive summaries, it ensures stakeholders receive timely, actionable intelligence while creating audit trails for data quality monitoring initiatives.\n\n## Setup Steps\n1. Configure Schedule Data Integrity Check trigger with monitoring frequency\n2. Connect Workflow Configuration node with data source parameters\n3. Set up Fetch Software Metrics and Fetch BI Dashboard Data nodes with respective API credentials\n4. Configure Merge Data Sources node for data consolidation logic\n5. Connect Data Validation Agent with OpenAI/Nvidia API credentials for anomaly detection\n6. Set up Orchestration Agent with AI API credentials for severity assessment\n7. Configure Check for Anomalies node with routing conditions\n8. Connect Route by Severity node with classification logic\n \n## Prerequisites\nOpenAI or Nvidia API credentials for AI-powered analysis, API access to software metrics platforms\n## Use Cases\nSaaS platforms monitoring service health metrics, e-commerce businesses tracking inventory data quality\n## Customization\nAdjust scheduling frequency for monitoring intervals, modify severity thresholds for alert classification\n## Benefits\nReduces mean time to detection by 75%, eliminates manual data quality checks","workflow":{"id":"ChSJMM8u3RMVAc9Xja2BN","meta":{"instanceId":"b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502"},"name":"Intelligent AI-Driven Data Integrity Monitoring System","tags":[],"nodes":[{"id":"c74626fd-8824-418e-8296-5ea7f7397791","name":"Schedule Data Integrity Check","type":"n8n-nodes-base.scheduleTrigger","position":[-448,288],"parameters":{"rule":{"interval":[{"field":"minutes","minutesInterval":15}]}},"typeVersion":1.3},{"id":"2365a95d-a84e-49fa-92b7-60009a3b49fe","name":"Workflow Configuration","type":"n8n-nodes-base.set","position":[-224,288],"parameters":{"options":{},"assignments":{"assignments":[{"id":"id-1","name":"metricsApiUrl","type":"string","value":"<__PLACEHOLDER_VALUE__Software Metrics API URL__>"},{"id":"id-2","name":"biDashboardApiUrl","type":"string","value":"<__PLACEHOLDER_VALUE__BI Dashboard API URL__>"},{"id":"id-3","name":"anomalyThreshold","type":"number","value":0.75},{"id":"id-4","name":"criticalAlertEmail","type":"string","value":"<__PLACEHOLDER_VALUE__Critical Alert Email Address__>"},{"id":"id-5","name":"executiveReportEmail","type":"string","value":"<__PLACEHOLDER_VALUE__Executive Report Email Address__>"},{"id":"id-6","name":"slackCriticalChannel","type":"string","value":"<__PLACEHOLDER_VALUE__Slack Critical Alerts Channel ID__>"},{"id":"id-7","name":"slackHighPriorityChannel","type":"string","value":"<__PLACEHOLDER_VALUE__Slack High Priority Channel ID__>"}]},"includeOtherFields":true},"typeVersion":3.4},{"id":"d98adc00-af2b-47ce-89f1-af26f52fba68","name":"Fetch Software Metrics","type":"n8n-nodes-base.httpRequest","position":[0,192],"parameters":{"url":"={{ $('Workflow Configuration').first().json.metricsApiUrl }}","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.3},{"id":"905249ca-c017-43aa-85b2-707e2af14517","name":"Fetch BI Dashboard Data","type":"n8n-nodes-base.httpRequest","position":[0,384],"parameters":{"url":"={{ $('Workflow Configuration').first().json.biDashboardApiUrl }}","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.3},{"id":"0e636a03-812c-4307-bfd3-24435d60abb4","name":"Merge Data Sources","type":"n8n-nodes-base.code","position":[224,288],"parameters":{"jsCode":"// Merge data from both HTTP requests into a single structured object\nconst items = $input.all();\n\n// Initialize containers for the data\nlet metricsData = null;\nlet biData = null;\n\n// Process all input items to find data from both sources\nfor (const item of items) {\n // Check if this item came from Fetch Software Metrics\n if (item.json.metrics || item.json.software) {\n metricsData = item.json;\n }\n // Check if this item came from Fetch BI Dashboard Data\n else if (item.json.dashboard || item.json.bi) {\n biData = item.json;\n }\n // If the structure is unknown, try to identify by other characteristics\n else if (!metricsData) {\n metricsData = item.json;\n } else if (!biData) {\n biData = item.json;\n }\n}\n\n// Create the merged structured object\nconst mergedData = {\n metrics: metricsData || {},\n biData: biData || {},\n timestamp: new Date().toISOString()\n};\n\n// Return the merged data as a single item\nreturn [{ json: mergedData }];"},"typeVersion":2},{"id":"1265483a-c584-47c9-bb9d-5fa3c5d8b97d","name":"OpenAI Model - Data Validation","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[456,512],"parameters":{"model":{"__rl":true,"mode":"id","value":"gpt-4o"},"options":{"temperature":0.2},"builtInTools":{}},"credentials":{"openAiApi":{"id":"credential-id","name":"OpenAi account"}},"typeVersion":1.3},{"id":"262668b0-74c1-4da0-8658-a66730e1d08a","name":"Validation Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[704,512],"parameters":{"schemaType":"manual","inputSchema":"{\n \"type\": \"object\",\n \"properties\": {\n \"hasAnomaly\": {\n \"type\": \"boolean\",\n \"description\": \"Whether an anomaly was detected\"\n },\n \"anomalyScore\": {\n \"type\": \"number\",\n \"description\": \"Numerical score indicating the severity of the anomaly\"\n },\n \"anomalyType\": {\n \"type\": \"string\",\n \"description\": \"Type or category of the detected anomaly\"\n },\n \"affectedSystems\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"List of systems affected by the anomaly\"\n },\n \"dataIntegrityIssues\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"List of data integrity issues identified\"\n },\n \"complianceViolations\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"List of compliance violations detected\"\n },\n \"gdprConcerns\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"GDPR-related concerns identified\"\n },\n \"isoConcerns\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"ISO compliance concerns identified\"\n },\n \"recommendations\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"Recommended actions to address the issues\"\n },\n \"severity\": {\n \"type\": \"string\",\n \"description\": \"Overall severity level of the findings\"\n }\n }\n}"},"typeVersion":1.3},{"id":"6c94a73c-ed6b-4e91-b852-f94387e411a3","name":"Data Validation Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[448,288],"parameters":{"text":"=Data to validate: {{ JSON.stringify($json) }}","options":{"systemMessage":"You are a Data Validation Agent specialized in inspecting structured software metrics, logs, and BI dashboards for data integrity and anomaly signals.\n\nYour task is to:\n1. Analyze incoming data for completeness, consistency, and accuracy\n2. Detect anomalies including: missing data points, unexpected value ranges, statistical outliers, data type mismatches, timestamp inconsistencies, duplicate records\n3. Identify data integrity issues: referential integrity violations, schema violations, data quality degradation\n4. Flag compliance concerns related to GDPR (data retention, consent tracking, data minimization) and ISO standards (audit trails, access controls, data classification)\n5. Calculate anomaly score (0-1 scale) based on severity and frequency of issues\n6. Classify anomaly type: data_quality, security, compliance, performance, availability\n7. List affected systems and components\n8. Provide specific recommendations for remediation\n9. Assign severity level: low, medium, high, critical\n\nIMPORTANT: You are in READ-ONLY mode. Never suggest making production changes autonomously. All recommendations must require human approval.\n\nReturn structured JSON output with all required fields."},"promptType":"define","hasOutputParser":true},"typeVersion":3.1},{"id":"f15be92f-e155-4157-9add-43040deb9d3f","name":"Check for Anomalies","type":"n8n-nodes-base.if","position":[800,288],"parameters":{"options":{},"conditions":{"options":{"leftValue":"","caseSensitive":false,"typeValidation":"loose"},"combinator":"and","conditions":[{"id":"id-1","operator":{"type":"boolean","operation":"equals"},"leftValue":"={{ $('Data Validation Agent').item.json.hasAnomaly }}","rightValue":true}]}},"typeVersion":2.3},{"id":"cfc91152-1c98-4926-9599-ec895c670904","name":"OpenAI Model - Orchestration","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[1032,512],"parameters":{"model":{"__rl":true,"mode":"id","value":"gpt-4o"},"options":{"temperature":0.3},"builtInTools":{}},"credentials":{"openAiApi":{"id":"credential-id","name":"OpenAi account"}},"typeVersion":1.3},{"id":"ba9dbaac-395a-4670-9280-13af5379bbf0","name":"Orchestration Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[1160,512],"parameters":{"schemaType":"manual","inputSchema":"{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"alertType\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"notificationChannels\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t}\n\t\t},\n\t\t\"escalationRequired\": {\n\t\t\t\"type\": \"boolean\"\n\t\t},\n\t\t\"executiveReportRequired\": {\n\t\t\t\"type\": \"boolean\"\n\t\t},\n\t\t\"actionItems\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t}\n\t\t},\n\t\t\"complianceDocumentation\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"auditTrailRequired\": {\n\t\t\t\"type\": \"boolean\"\n\t\t},\n\t\t\"severity\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"priority\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"},"typeVersion":1.3},{"id":"e69755c9-2996-49fb-83e0-01ab0daa29c9","name":"Orchestration Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[1024,288],"parameters":{"text":"=Anomaly data: {{ JSON.stringify($json) }}","options":{"systemMessage":"You are an Orchestration Agent responsible for coordinating automated alerts, executive reporting, and workflow escalation for data integrity issues.\n\nYour task is to:\n1. Analyze the anomaly data from the Data Validation Agent\n2. Determine appropriate notification channels based on severity: critical β†’ email + Slack, high β†’ Slack, medium/low β†’ executive report only\n3. Decide if escalation to human review is required (always true for critical and high severity)\n4. Determine if executive report generation is needed\n5. Create specific action items for IT teams with clear priorities\n6. Generate compliance documentation references for GDPR and ISO standards\n7. Specify audit trail requirements for regulatory compliance\n8. Assign priority level: P0 (critical), P1 (high), P2 (medium), P3 (low)\n\nIMPORTANT CONSTRAINTS:\n- You MUST NOT make any deployment or production changes autonomously\n- All actions require human approval and oversight\n- Focus on alerting, reporting, and documentation\n- Ensure compliance with internal IT policies, GDPR, and ISO standards\n- Maintain detailed audit trails for all decisions\n\nReturn structured JSON output with all required fields."},"promptType":"define","hasOutputParser":true},"typeVersion":3.1},{"id":"b5ca6335-0778-44b5-9fc0-69f5d1440b64","name":"Route by Severity","type":"n8n-nodes-base.switch","position":[1376,272],"parameters":{"rules":{"values":[{"outputKey":"Critical","conditions":{"options":{"leftValue":"","caseSensitive":false,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.severity }}","rightValue":"critical"}]},"renameOutput":true},{"outputKey":"High","conditions":{"options":{"leftValue":"","caseSensitive":false,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.severity }}","rightValue":"high"}]},"renameOutput":true}]},"options":{"fallbackOutput":"extra","renameFallbackOutput":"Medium/Low"}},"typeVersion":3.4},{"id":"48608800-94ed-4b84-8b0e-baa5f2fbbfe1","name":"Send Critical Alert Email","type":"n8n-nodes-base.emailSend","position":[1824,176],"webhookId":"7dc4f87c-c4dd-49c4-8043-6a14d322e8f0","parameters":{"html":"=\n\n \n\n\n
\n

🚨 CRITICAL DATA INTEGRITY ALERT

\n
\n \n
\n
\n
Anomaly Details
\n
Type: {{ $json.anomalyType }}
\n
Description: {{ $json.anomalyDescription }}
\n
Detected At: {{ $json.detectedAt }}
\n
\n \n
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Affected Systems
\n
{{ $json.affectedSystems }}
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Compliance Violations
\n
{{ $json.complianceViolations }}
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\n \n
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Severity Assessment
\n
Severity Level: {{ $json.severity }}
\n
Anomaly Score: {{ $json.anomalyScore }}
\n
\n \n
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Recommended Actions
\n
{{ $json.recommendedActions }}
\n
\n
\n \n
\n

This is an automated alert from the AI-Driven Data Integrity Monitoring System.

\n

Immediate action is required. Please review and respond according to your incident response procedures.

\n
\n\n","options":{"appendAttribution":true},"subject":"=CRITICAL: Data Integrity Anomaly Detected - {{ $json.anomalyType }}","toEmail":"={{ $('Workflow Configuration').first().json.criticalAlertEmail }}","fromEmail":"user@example.com"},"typeVersion":2.1},{"id":"75030d6e-5ecb-4d92-85de-8a302d7100e5","name":"Send Critical Slack Alert","type":"n8n-nodes-base.slack","position":[1824,368],"webhookId":"3db1d0e5-443f-4bf4-81bf-41892bc90b55","parameters":{"text":"=🚨 CRITICAL DATA INTEGRITY ALERT\n\n*Anomaly Type:* {{ $json.anomalyType }}\n*Severity:* {{ $json.severity }}\n*Anomaly Score:* {{ $json.anomalyScore }}\n*Affected Systems:* {{ $json.affectedSystems.join(', ') }}\n\n*Compliance Violations:*\n{{ $json.complianceViolations.join('\\n') }}\n\n*Recommended Actions:*\n{{ $json.recommendations.join('\\n') }}\n\n⚠️ Human review and approval required before taking action.","select":"channel","channelId":{"__rl":true,"mode":"id","value":"={{ $('Workflow Configuration').first().json.slackCriticalChannel }}"},"otherOptions":{},"authentication":"oAuth2"},"credentials":{"slackOAuth2Api":{"id":"credential-id","name":"Slack account"}},"typeVersion":2.4},{"id":"9f2b8037-b261-46ed-9ba3-390217763569","name":"Send High Priority Slack Alert","type":"n8n-nodes-base.slack","position":[1824,752],"webhookId":"fb46c8d3-3026-44f6-bc93-c2a8b708bcc4","parameters":{"text":"=⚠️ HIGH PRIORITY: Data Integrity Issue\n\n*Anomaly Type:* {{ $json.anomalyType }}\n*Severity:* {{ $json.severity }}\n*Anomaly Score:* {{ $json.anomalyScore }}\n*Affected Systems:* {{ $json.affectedSystems.join(', ') }}\n\n*Data Integrity Issues:*\n{{ $json.dataIntegrityIssues.join('\\n') }}\n\n*Recommendations:*\n{{ $json.recommendations.join('\\n') }}","select":"channel","channelId":{"__rl":true,"mode":"id","value":"={{ $('Workflow Configuration').first().json.slackHighPriorityChannel }}"},"otherOptions":{},"authentication":"oAuth2"},"credentials":{"slackOAuth2Api":{"id":"credential-id","name":"Slack account"}},"typeVersion":2.4},{"id":"3e425569-929f-43ca-967d-afc938eafa78","name":"Prepare Executive Report","type":"n8n-nodes-base.set","position":[1536,576],"parameters":{"options":{},"assignments":{"assignments":[{"id":"id-1","name":"reportTitle","type":"string","value":"=Data Integrity Monitoring Report - {{ $now.toFormat('yyyy-MM-dd HH:mm') }}"},{"id":"id-2","name":"anomalySummary","type":"string","value":"={{ $json.anomalyType }}"},{"id":"id-3","name":"severityLevel","type":"string","value":"={{ $json.severity }}"},{"id":"id-4","name":"affectedSystemsList","type":"string","value":"={{ $json.affectedSystems.join(', ') }}"},{"id":"id-5","name":"complianceStatus","type":"string","value":"={{ $json.complianceViolations.length > 0 ? 'Violations Detected' : 'Compliant' }}"},{"id":"id-6","name":"actionItemsSummary","type":"string","value":"={{ $json.recommendations.join('; ') }}"}]},"includeOtherFields":true},"typeVersion":3.4},{"id":"5cd4c527-719a-45c9-af40-851215d39d12","name":"Send Executive Report","type":"n8n-nodes-base.emailSend","position":[1824,560],"webhookId":"822ba056-9dd2-4fbc-8ba0-ac234ce87102","parameters":{"html":"=\n\n\n \n\n\n
\n

Executive Report: Data Integrity Monitoring

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Report Date: {{ $now.toFormat('MMMM dd, yyyy') }}

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πŸ“Š Executive Summary
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This report provides a comprehensive overview of data integrity monitoring activities, anomaly detection results, and compliance status for the reporting period.

\n
\n Total Data Sources Monitored:\n {{ $('Merge Data Sources').item.json.totalSources || 'N/A' }}\n
\n
\n Anomalies Detected:\n {{ $('Data Validation Agent').item.json.anomalyCount || 0 }}\n
\n
\n Overall Status:\n {{ $('Orchestration Agent').item.json.overallStatus || 'UNDER REVIEW' }}\n
\n
\n
\n\n
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πŸ” Anomaly Overview
\n
\n

Summary: {{ $('Data Validation Agent').item.json.anomalySummary || 'No significant anomalies detected during this monitoring period.' }}

\n \n
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\n\n
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πŸ’» Affected Systems
\n
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The following systems have been identified with data integrity concerns:

\n \n

Detailed system-level analysis: {{ $('Orchestration Agent').item.json.affectedSystemsDetails || 'All systems within acceptable parameters.' }}

\n
\n
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βœ… Compliance Status
\n
\n

GDPR Compliance: {{ $('Orchestration Agent').item.json.gdprCompliant ? 'COMPLIANT' : 'NON-COMPLIANT' }}

\n

ISO 27001 Compliance: {{ $('Orchestration Agent').item.json.isoCompliant ? 'COMPLIANT' : 'NON-COMPLIANT' }}

\n

Compliance Notes: {{ $('Orchestration Agent').item.json.complianceNotes || 'All compliance requirements are being met. Regular audits continue as scheduled.' }}

\n
\n
\n\n
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⚠️ Data Integrity Issues
\n
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{{ $('Data Validation Agent').item.json.integrityIssuesDescription || 'No critical data integrity issues identified. All data sources are synchronized and validated.' }}

\n \n
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🎯 Recommended Actions
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\n

Based on the analysis, the following actions are recommended:

\n \n
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\n\n
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πŸ“… Next Steps
\n
\n \n

Next Report: {{ $now.plus({ days: 7 }).toFormat('MMMM dd, yyyy') }}

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\n
\n\n
\n

This report was automatically generated by the AI-Driven Data Integrity Monitoring System

\n

For questions or concerns, please contact the Data Governance Team

\n

© {{ $now.toFormat('yyyy') }} Company Name. All rights reserved.

\n
\n\n","options":{"appendAttribution":true},"subject":"=Executive Report: Data Integrity Monitoring - {{ $now.toFormat('yyyy-MM-dd') }}","toEmail":"={{ $('Workflow Configuration').first().json.executiveReportEmail }}","fromEmail":"user@example.com"},"typeVersion":2.1},{"id":"42d21581-aa7c-40e1-a5c5-f55b7fd77779","name":"Log Compliance Audit Trail","type":"n8n-nodes-base.code","position":[2048,288],"parameters":{"mode":"runOnceForEachItem","jsCode":"// Comprehensive Audit Trail Log for GDPR and ISO Compliance\n\nconst timestamp = new Date().toISOString();\nconst inputData = $input.item.json;\n\n// Extract anomaly details from previous nodes\nconst anomalyDetails = {\n detectedAt: timestamp,\n anomalyType: inputData.anomalyType || 'Unknown',\n severity: inputData.severity || 'Unknown',\n affectedSystems: inputData.affectedSystems || [],\n dataPoints: inputData.dataPoints || {},\n validationResults: inputData.validationResults || {},\n orchestrationDecisions: inputData.orchestrationDecisions || {}\n};\n\n// Extract actions taken\nconst actionsTaken = {\n alertsSent: inputData.alertsSent || [],\n remediationSteps: inputData.remediationSteps || [],\n escalationLevel: inputData.escalationLevel || 'None',\n automatedActions: inputData.automatedActions || []\n};\n\n// Extract notification channels used\nconst notificationChannels = {\n email: inputData.emailSent || false,\n slack: inputData.slackSent || false,\n recipients: inputData.recipients || [],\n messageIds: inputData.messageIds || []\n};\n\n// Compliance documentation\nconst complianceDocumentation = {\n gdprCompliance: {\n dataProcessingLawfulness: 'Automated monitoring for data integrity',\n legalBasis: 'Legitimate interest - Article 6(1)(f) GDPR',\n dataMinimization: 'Only necessary metrics collected',\n purposeLimitation: 'Data integrity and security monitoring',\n retentionPeriod: '90 days',\n dataSubjectRights: 'Audit logs available upon request'\n },\n isoCompliance: {\n standard: 'ISO 27001:2013',\n controlObjective: 'A.12.4.1 Event Logging',\n evidenceType: 'Automated audit trail',\n reviewFrequency: 'Real-time monitoring with daily reviews'\n }\n};\n\n// User approval status\nconst userApprovalStatus = {\n requiresApproval: inputData.severity === 'critical' || inputData.severity === 'high',\n approvalStatus: inputData.approvalStatus || 'Pending',\n approvedBy: inputData.approvedBy || null,\n approvalTimestamp: inputData.approvalTimestamp || null,\n approvalComments: inputData.approvalComments || ''\n};\n\n// Create comprehensive audit log entry\nconst auditLogEntry = {\n logId: `AUDIT-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`,\n timestamp: timestamp,\n workflowName: 'AI-Driven Data Integrity Monitoring',\n workflowExecutionId: $execution.id,\n anomalyDetails: anomalyDetails,\n actionsTaken: actionsTaken,\n notificationChannels: notificationChannels,\n complianceDocumentation: complianceDocumentation,\n userApprovalStatus: userApprovalStatus,\n metadata: {\n nodeExecutionId: $execution.id,\n executionMode: $execution.mode,\n retentionDate: new Date(Date.now() + 90 * 24 * 60 * 60 * 1000).toISOString(),\n complianceVersion: '1.0',\n auditTrailVersion: '2.0'\n }\n};\n\n// Log to console for debugging\nconsole.log('Compliance Audit Trail Created:', auditLogEntry);\n\n// Return the audit log entry\nreturn {\n json: auditLogEntry\n};"},"typeVersion":2},{"id":"c5fd76b7-7e1c-498c-9396-11a41035004f","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[752,-320],"parameters":{"color":4,"width":608,"height":352,"content":"## Prerequisites\nOpenAI or Nvidia API credentials for AI-powered analysis, API access to software metrics platforms\n## Use Cases\nSaaS platforms monitoring service health metrics, e-commerce businesses tracking inventory data quality\n## Customization\nAdjust scheduling frequency for monitoring intervals, modify severity thresholds for alert classification\n## Benefits\nReduces mean time to detection by 75%, eliminates manual data quality checks"},"typeVersion":1},{"id":"b28afeb9-0dd2-4c1a-8dfa-9d34f8091cae","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[272,-336],"parameters":{"width":448,"height":352,"content":"## Setup Steps\n1. Configure Schedule Data Integrity Check trigger with monitoring frequency\n2. Connect Workflow Configuration node with data source parameters\n3. Set up Fetch Software Metrics and Fetch BI Dashboard Data nodes with respective API credentials\n4. Configure Merge Data Sources node for data consolidation logic\n5. Connect Data Validation Agent with OpenAI/Nvidia API credentials for anomaly detection\n6. Set up Orchestration Agent with AI API credentials for severity assessment\n7. Configure Check for Anomalies node with routing conditions\n8. Connect Route by Severity node with classification logic"},"typeVersion":1},{"id":"1266b91f-f6ab-4e0c-ad6e-97fedc372d0b","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-464,-288],"parameters":{"width":704,"height":288,"content":"## How It Works\nThis workflow automates continuous data integrity monitoring and intelligent alert management across multiple data sources. Designed for data engineers, IT operations teams, and business intelligence analysts, it solves the critical challenge of detecting data anomalies and orchestrating appropriate responses based on severity levels. The system operates on scheduled intervals, fetching data from software metrics APIs and BI dashboards, then merging these sources for comprehensive analysis. It employs AI-powered validation and orchestration agents to detect anomalies, assess severity, and determine optimal response strategies. The workflow intelligently routes alerts based on severity classification, triggering critical notifications via email and Slack for high-priority issues while sending standard reports for routine findings. By maintaining detailed compliance audit logs and preparing executive summaries, it ensures stakeholders receive timely, actionable intelligence while creating audit trails for data quality monitoring initiatives."},"typeVersion":1},{"id":"38989ff0-5c6e-437a-a494-961a8bce2cba","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-512,80],"parameters":{"color":7,"width":896,"height":544,"content":"## Multi-Source Data Collection\n**What:** Fetches and merges data from software metrics APIs and BI dashboard sources on scheduled intervals\n**Why:** Ensures comprehensive monitoring coverage by combining operational metrics with business intelligence for complete visibility\n"},"typeVersion":1},{"id":"b29b03fa-367d-4ce9-ab2e-6389f5d6f565","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[992,80],"parameters":{"color":7,"width":1216,"height":896,"content":"## Severity-Based Alert Routing\n**What:** Routes alerts through severity-specific channels with tailored messaging for critical, high-priority, and standard notifications\n**Why:** Ensures urgent issues receive immediate attention while preventing alert fatigue from routine findings"},"typeVersion":1},{"id":"8e8723fe-7105-417f-ac7c-128a1243d5ac","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[400,80],"parameters":{"color":7,"width":544,"height":720,"content":"## AI-Powered Anomaly Detection\n**What:** Processes merged data through dual AI agents for validation and intelligent orchestration of anomaly findings\n**Why:** Leverages AI to detect subtle patterns and determine appropriate severity classifications beyond simple threshold-based rules\n"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"availableInMCP":false,"executionOrder":"v1"},"versionId":"d8316c61-cb28-4db0-bc3f-5bb0c6f4d068","connections":{"Route by Severity":{"main":[[{"node":"Send Critical Alert Email","type":"main","index":0},{"node":"Send Critical Slack Alert","type":"main","index":0}],[{"node":"Send High Priority Slack Alert","type":"main","index":0}],[{"node":"Prepare Executive Report","type":"main","index":0}]]},"Merge Data Sources":{"main":[[{"node":"Data Validation Agent","type":"main","index":0}]]},"Check for Anomalies":{"main":[[{"node":"Orchestration Agent","type":"main","index":0}]]},"Orchestration Agent":{"main":[[{"node":"Route by Severity","type":"main","index":0}]]},"Data Validation Agent":{"main":[[{"node":"Check for Anomalies","type":"main","index":0}]]},"Send Executive Report":{"main":[[{"node":"Log Compliance Audit Trail","type":"main","index":0}]]},"Fetch Software Metrics":{"main":[[{"node":"Merge Data Sources","type":"main","index":0}]]},"Workflow Configuration":{"main":[[{"node":"Fetch Software Metrics","type":"main","index":0},{"node":"Fetch BI Dashboard Data","type":"main","index":0}]]},"Fetch BI Dashboard Data":{"main":[[{"node":"Merge Data Sources","type":"main","index":0}]]},"Prepare Executive Report":{"main":[[{"node":"Send Executive Report","type":"main","index":0}]]},"Validation Output Parser":{"ai_outputParser":[[{"node":"Data Validation Agent","type":"ai_outputParser","index":0}]]},"Send Critical Alert Email":{"main":[[{"node":"Log Compliance Audit Trail","type":"main","index":0}]]},"Send Critical Slack Alert":{"main":[[{"node":"Log Compliance Audit Trail","type":"main","index":0}]]},"Orchestration Output Parser":{"ai_outputParser":[[{"node":"Orchestration Agent","type":"ai_outputParser","index":0}]]},"OpenAI Model - Orchestration":{"ai_languageModel":[[{"node":"Orchestration Agent","type":"ai_languageModel","index":0}]]},"Schedule Data Integrity Check":{"main":[[{"node":"Workflow Configuration","type":"main","index":0}]]},"OpenAI Model - Data Validation":{"ai_languageModel":[[{"node":"Data Validation Agent","type":"ai_languageModel","index":0}]]},"Send High Priority Slack Alert":{"main":[[{"node":"Log Compliance Audit Trail","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":25,"nodeTypes":{"n8n-nodes-base.if":{"count":1},"n8n-nodes-base.set":{"count":2},"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.slack":{"count":2},"n8n-nodes-base.switch":{"count":1},"n8n-nodes-base.emailSend":{"count":2},"n8n-nodes-base.stickyNote":{"count":6},"n8n-nodes-base.httpRequest":{"count":2},"@n8n/n8n-nodes-langchain.agent":{"count":2},"n8n-nodes-base.scheduleTrigger":{"count":1},"@n8n/n8n-nodes-langchain.lmChatOpenAi":{"count":2},"@n8n/n8n-nodes-langchain.outputParserStructured":{"count":2}}},"status":"published","readyToDemo":null,"user":{"name":"Cheng Siong Chin","username":"cschin","bio":"Dr. Cheng Siong CHIN is an n8n workflow creator specializing in AI-powered automation, agent orchestration, and intelligent system integrations. He designs and builds end-to-end workflows that combine LLMs, APIs, and data pipelines to streamline complex processes and deliver production-ready automation solutions. Contact me to discuss custom AI workflows and agent architectures.\n","verified":true,"links":["https://gravatar.com/mysticluminary9fa255f7f5"],"avatar":"https://gravatar.com/avatar/54544f98e839bb9dd9a764ad1e6823eeddb6db5138d201e42f291a7b0a73303f?r=pg&d=retro&size=200"},"nodes":[{"id":11,"icon":"fa:envelope","name":"n8n-nodes-base.emailSend","codex":{"data":{"alias":["SMTP","email","human","form","wait","hitl","approval"],"resources":{"generic":[{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"β˜€οΈ","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/","icon":"πŸ‘¦","label":"Build your own virtual assistant with n8n: A step by step guide"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.sendemail/"}],"credentialDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/credentials/sendemail/"}]},"categories":["Communication","HITL","Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"HITL":["Human in the Loop"]}}},"group":"[\"output\"]","defaults":{"name":"Send Email","color":"#00bb88"},"iconData":{"icon":"envelope","type":"icon"},"displayName":"Send Email","typeVersion":2,"nodeCategories":[{"id":6,"name":"Communication"},{"id":9,"name":"Core Nodes"},{"id":28,"name":"HITL"}]},{"id":19,"icon":"file:httprequest.svg","name":"n8n-nodes-base.httpRequest","codex":{"data":{"alias":["API","Request","URL","Build","cURL"],"resources":{"generic":[{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"β˜€οΈ","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/","icon":"πŸ“ˆ","label":"Automatically pulling and visualizing data with n8n"},{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to automatically cross-post your content with n8n"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"πŸ›³","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/","icon":" πŸͺ’","label":"What are APIs and how to use them with no code"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚑️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/world-poetry-day-workflow/","icon":"πŸ“œ","label":"Celebrating World Poetry Day with a daily poem in Telegram"},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"πŸ’‘","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/","icon":"🎨","label":"Automate Designs with Bannerbear and n8n"},{"url":"https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/","icon":" πŸ•ΈοΈ","label":"How uProc scraped a multi-page website with a low-code workflow"},{"url":"https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/","icon":"πŸ“±","label":"Building an expense tracking app in 10 minutes"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"πŸ€–","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/","icon":"🧰","label":"How to use the HTTP Request Node - 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