{ "id": "jztwkBCtrmbaV357", "meta": { "templateCredsSetupCompleted": true }, "name": "AI Financial Report Analyzer", "tags": [], "nodes": [ { "id": "fa3d6986-029c-4604-b411-018d91531334", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -320, -64 ], "parameters": { "width": 920, "height": 850, "content": "## AI Financial Report Analyzer\n\nAutomates financial data analysis and generates executive summaries with AI-powered insights, anomaly detection, and management recommendations.\n\n## How it works\n\n1. **Trigger** \u2014 Runs monthly on the 1st at 8 AM to analyze financial data\n2. **Extract** \u2014 Fetches P&L statements, balance sheets, cash flow data from accounting systems\n3. **Normalize** \u2014 Standardizes formats and validates data integrity\n4. **Analyze** \u2014 Calculates KPIs, financial ratios, YoY/MoM trends\n5. **Detect** \u2014 Identifies anomalies, trends, and unusual patterns\n6. **Insights** \u2014 Uses AI to generate natural language summaries and management recommendations\n7. **Generate** \u2014 Creates professional PDF/HTML reports with visualizations\n8. **Distribute** \u2014 Sends to stakeholders via Email, Slack, and stores in document management\n\n## Setup steps\n\n1. **Accounting APIs** \u2014 Connect QuickBooks, Xero, SAP, or financial database\n2. **Data Validation** \u2014 Configure field mappings and normalization rules\n3. **AI/LLM** \u2014 Set up OpenAI or Claude API for insights generation\n4. **PDF Generation** \u2014 Configure report styling and layouts\n5. **Database** \u2014 Create tables for reports, metrics, and historical data\n6. **Distribution** \u2014 Add Slack webhooks, SMTP, OneDrive/Google Drive credentials\n7. **Test** \u2014 Validate with sample financial data, then activate" }, "typeVersion": 1 }, { "id": "23b8cef1-684a-4b1a-87f9-6bff9e1b6853", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 800, 96 ], "parameters": { "color": 3, "width": 520, "height": 882, "content": "## 1. Trigger & Extract Data\n\nMonthly schedule and fetch financial statements from accounting systems" }, "typeVersion": 1 }, { "id": "ac588f16-6d13-438b-8ed4-0eced4a8258b", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 1344, 176 ], "parameters": { "color": 3, "width": 376, "height": 642, "content": "## 2. Data Normalization & Validation\n\nStandardize formats and calculate financial metrics & ratios" }, "typeVersion": 1 }, { "id": "e95b2ae4-4412-4ffc-b1bc-f66705a08392", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1744, 176 ], "parameters": { "color": 3, "width": 408, "height": 650, "content": "## 3. Analysis & Anomaly Detection\n\nDetect trends, analyze variance, and identify unusual patterns" }, "typeVersion": 1 }, { "id": "390d4191-07c1-448e-a44b-08fb019eb14d", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 2192, 144 ], "parameters": { "color": 3, "width": 416, "height": 678, "content": "## 4. AI Insights & Report Generation\n\nGenerate executive summaries and professional reports with visualizations" }, "typeVersion": 1 }, { "id": "165661f0-6e1f-41de-a766-8036adfae0a2", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 2656, 160 ], "parameters": { "color": 3, "width": 672, "height": 662, "content": "## 5. Distribution & Notification\n\nSend reports to stakeholders and store for historical tracking" }, "typeVersion": 1 }, { "id": "575a55b8-8934-49d1-bee6-6fa1c9d71dfc", "name": "Monthly analysis on 1st at 8 AM", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 896, 528 ], "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 8 1 * *" } ] } }, "typeVersion": 1.2 }, { "id": "8ed15a21-42ed-49f6-9fcd-bbfc354da12d", "name": "Fetch P&L statement", "type": "n8n-nodes-base.httpRequest", "position": [ 1120, 240 ], "parameters": { "url": "https://api.accounting.example.com/financial/income-statement", "options": {} }, "typeVersion": 4.2 }, { "id": "d47ff1e3-00de-4315-ac5e-b2cad509911d", "name": "Fetch balance sheet", "type": "n8n-nodes-base.httpRequest", "position": [ 1120, 432 ], "parameters": { "url": "https://api.accounting.example.com/financial/balance-sheet", "options": {} }, "typeVersion": 4.2 }, { "id": "35dc354f-bca6-42ec-a9c3-fa5051be8735", "name": "Fetch cash flow statement", "type": "n8n-nodes-base.httpRequest", "position": [ 1120, 624 ], "parameters": { "url": "https://api.accounting.example.com/financial/cash-flow", "options": {} }, "typeVersion": 4.2 }, { "id": "70c8bc63-01e0-4f90-92d3-69a880c68154", "name": "Fetch previous period data for comparison", "type": "n8n-nodes-base.httpRequest", "position": [ 1120, 816 ], "parameters": { "url": "https://api.accounting.example.com/financial/historical", "options": {} }, "typeVersion": 4.2 }, { "id": "232f5f9e-6fd7-4bb9-a133-3578fd459b48", "name": "Merge all financial statements", "type": "n8n-nodes-base.merge", "position": [ 1344, 528 ], "parameters": { "mode": "combine", "options": {} }, "typeVersion": 3 }, { "id": "9e0a3cfb-9abf-4c63-b4b6-e69d4e17c778", "name": "Normalize and validate financial data", "type": "n8n-nodes-base.code", "position": [ 1568, 528 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Normalize and validate financial data\nconst data = $input.item.json;\n\n// Extract financial statements\nconst incomeStatement = data.income_statement || {};\nconst balanceSheet = data.balance_sheet || {};\nconst cashFlow = data.cash_flow || {};\nconst previous = data.previous_period || {};\n\nconst currentDate = new Date();\nconst reportMonth = currentDate.toLocaleString('en-US', { month: 'long', year: 'numeric' });\nconst reportId = `FRA-${currentDate.getFullYear()}-M${String(currentDate.getMonth() + 1).padStart(2, '0')}`;\nconst timestamp = currentDate.toISOString();\n\n// --- P&L Metrics ---\nconst revenue = incomeStatement.total_revenue || 0;\nconst costOfRevenue = incomeStatement.cost_of_revenue || 0;\nconst grossProfit = revenue - costOfRevenue;\nconst grossMargin = revenue > 0 ? (grossProfit / revenue * 100) : 0;\nconst operatingExpenses = incomeStatement.operating_expenses || 0;\nconst operatingIncome = grossProfit - operatingExpenses;\nconst operatingMargin = revenue > 0 ? (operatingIncome / revenue * 100) : 0;\nconst netIncome = incomeStatement.net_income || 0;\nconst netMargin = revenue > 0 ? (netIncome / revenue * 100) : 0;\nconst ebitda = incomeStatement.ebitda || operatingIncome + (incomeStatement.depreciation || 0);\n\n// --- Balance Sheet Metrics ---\nconst totalAssets = balanceSheet.total_assets || 0;\nconst totalLiabilities = balanceSheet.total_liabilities || 0;\nconst totalEquity = balanceSheet.total_equity || 0;\nconst currentAssets = balanceSheet.current_assets || 0;\nconst currentLiabilities = balanceSheet.current_liabilities || 0;\nconst cashAndEquivalents = balanceSheet.cash || 0;\nconst accountsReceivable = balanceSheet.accounts_receivable || 0;\nconst inventory = balanceSheet.inventory || 0;\nconst fixedAssets = balanceSheet.fixed_assets || 0;\nconst longTermDebt = balanceSheet.long_term_debt || 0;\n\n// --- Cash Flow Metrics ---\nconst operatingCashFlow = cashFlow.operating_cash_flow || 0;\nconst investingCashFlow = cashFlow.investing_cash_flow || 0;\nconst financingCashFlow = cashFlow.financing_cash_flow || 0;\nconst freeCashFlow = operatingCashFlow - (cashFlow.capital_expenditures || 0);\n\n// --- Financial Ratios ---\nconst currentRatio = currentLiabilities > 0 ? (currentAssets / currentLiabilities).toFixed(2) : 'N/A';\nconst quickRatio = currentLiabilities > 0 ? ((currentAssets - inventory) / currentLiabilities).toFixed(2) : 'N/A';\nconst debtToEquity = totalEquity > 0 ? (totalLiabilities / totalEquity).toFixed(2) : 'N/A';\nconst debtToAssets = totalAssets > 0 ? (totalLiabilities / totalAssets * 100).toFixed(2) : 'N/A';\nconst returnOnAssets = totalAssets > 0 ? (netIncome / totalAssets * 100).toFixed(2) : 'N/A';\nconst returnOnEquity = totalEquity > 0 ? (netIncome / totalEquity * 100).toFixed(2) : 'N/A';\nconst assetTurnover = revenue > 0 && totalAssets > 0 ? (revenue / totalAssets).toFixed(2) : 'N/A';\nconst interestCoverage = incomeStatement.interest_expense > 0 ? (ebitda / incomeStatement.interest_expense).toFixed(2) : 'N/A';\n\n// --- YoY/MoM Comparison ---\nconst prevRevenue = previous.revenue || revenue;\nconst prevNetIncome = previous.net_income || netIncome;\nconst prevTotalAssets = previous.total_assets || totalAssets;\n\nconst revenueChange = prevRevenue > 0 ? ((revenue - prevRevenue) / prevRevenue * 100).toFixed(2) : 0;\nconst incomeChange = prevNetIncome !== 0 ? ((netIncome - prevNetIncome) / Math.abs(prevNetIncome) * 100).toFixed(2) : 0;\nconst assetChange = prevTotalAssets > 0 ? ((totalAssets - prevTotalAssets) / prevTotalAssets * 100).toFixed(2) : 0;\n\n// --- Working Capital & Cash Analysis ---\nconst workingCapital = currentAssets - currentLiabilities;\nconst cashConversionCycle = (accountsReceivable + inventory) > 0 ? Math.round((accountsReceivable + inventory) / (revenue / 365)) : 0;\nconst daysInventoryOutstanding = revenue > 0 ? Math.round((inventory / (costOfRevenue / 365))) : 0;\nconst daysReceivablesOutstanding = revenue > 0 ? Math.round((accountsReceivable / (revenue / 365))) : 0;\nconst freeCashFlowMargin = revenue > 0 ? (freeCashFlow / revenue * 100).toFixed(2) : 0;\n\n// --- Financial Health Score (0-100) ---\nlet healthScore = 50; // Base score\nif (currentRatio >= 1.5) healthScore += 10; // Good liquidity\nif (debtToEquity < 1) healthScore += 10; // Healthy leverage\nif (netMargin > 10) healthScore += 10; // Good profitability\nif (freeCashFlow > 0) healthScore += 10; // Positive FCF\nif (revenueChange > 5) healthScore += 5; // Revenue growth\nif (returnOnEquity > 15) healthScore += 5; // Good ROE\nif (currentRatio < 1) healthScore -= 15; // Poor liquidity\nif (debtToEquity > 2) healthScore -= 15; // High leverage\nif (netMargin < 0) healthScore -= 20; // Unprofitable\nhealthScore = Math.max(0, Math.min(100, healthScore));\n\n// --- Health Category ---\nlet healthCategory = 'Excellent';\nif (healthScore < 30) healthCategory = 'Critical';\nelse if (healthScore < 50) healthCategory = 'Poor';\nelse if (healthScore < 70) healthCategory = 'Fair';\nelse if (healthScore < 85) healthCategory = 'Good';\n\nreturn {\n json: {\n // Report Identity\n reportId,\n reportMonth,\n timestamp,\n \n // P&L Statement\n revenue: Math.round(revenue),\n cost_of_revenue: Math.round(costOfRevenue),\n gross_profit: Math.round(grossProfit),\n gross_margin_percent: parseFloat(grossMargin.toFixed(2)),\n operating_expenses: Math.round(operatingExpenses),\n operating_income: Math.round(operatingIncome),\n operating_margin_percent: parseFloat(operatingMargin.toFixed(2)),\n ebitda: Math.round(ebitda),\n net_income: Math.round(netIncome),\n net_margin_percent: parseFloat(netMargin.toFixed(2)),\n \n // Balance Sheet\n total_assets: Math.round(totalAssets),\n total_liabilities: Math.round(totalLiabilities),\n total_equity: Math.round(totalEquity),\n current_assets: Math.round(currentAssets),\n current_liabilities: Math.round(currentLiabilities),\n cash_equivalents: Math.round(cashAndEquivalents),\n accounts_receivable: Math.round(accountsReceivable),\n inventory: Math.round(inventory),\n fixed_assets: Math.round(fixedAssets),\n long_term_debt: Math.round(longTermDebt),\n working_capital: Math.round(workingCapital),\n \n // Cash Flow\n operating_cash_flow: Math.round(operatingCashFlow),\n investing_cash_flow: Math.round(investingCashFlow),\n financing_cash_flow: Math.round(financingCashFlow),\n free_cash_flow: Math.round(freeCashFlow),\n free_cash_flow_margin_percent: parseFloat(freeCashFlowMargin),\n \n // Financial Ratios\n current_ratio: currentRatio,\n quick_ratio: quickRatio,\n debt_to_equity: debtToEquity,\n debt_to_assets_percent: debtToAssets,\n return_on_assets_percent: returnOnAssets,\n return_on_equity_percent: returnOnEquity,\n asset_turnover: assetTurnover,\n interest_coverage: interestCoverage,\n \n // Operational Metrics\n days_inventory_outstanding: daysInventoryOutstanding,\n days_receivables_outstanding: daysReceivablesOutstanding,\n cash_conversion_cycle_days: cashConversionCycle,\n \n // YoY/MoM Changes\n revenue_change_percent: parseFloat(revenueChange),\n net_income_change_percent: parseFloat(incomeChange),\n total_assets_change_percent: parseFloat(assetChange),\n \n // Health Score\n financial_health_score: healthScore,\n financial_health_category: healthCategory,\n \n // Original data\n original_data: data\n }\n};" }, "typeVersion": 2 }, { "id": "b27ded34-c82c-4c72-b3d5-f50c7612a1bc", "name": "Analyze trends and detect anomalies", "type": "n8n-nodes-base.code", "position": [ 1792, 528 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Analyze financial trends and detect anomalies\nconst data = $input.item.json;\n\n// --- Revenue Trend Analysis ---\nconst revenueTrend = data.revenue_change_percent > 5 ? 'Growing' \n : data.revenue_change_percent > 0 ? 'Stable Growth' \n : data.revenue_change_percent > -5 ? 'Minor Decline' \n : 'Significant Decline';\n\nconst marginTrend = data.operating_margin_percent > 15 ? 'Healthy' \n : data.operating_margin_percent > 5 ? 'Acceptable' \n : data.operating_margin_percent > 0 ? 'Weak' \n : 'Unprofitable';\n\n// --- Anomaly Detection ---\nconst anomalies = [];\nconst warnings = [];\nconst recommendations = [];\n\n// Liquidity anomalies\nif (parseFloat(data.current_ratio) < 1) {\n anomalies.push('Critical: Current ratio below 1.0 indicates potential liquidity crisis');\n recommendations.push('Improve short-term liquidity by increasing current assets or reducing current liabilities');\n}\nif (parseFloat(data.current_ratio) < 1.5) {\n warnings.push('Low current ratio may indicate tight working capital management');\n}\nif (data.cash_equivalents < data.current_liabilities * 0.2) {\n warnings.push('Cash reserves are low relative to current liabilities');\n}\n\n// Profitability anomalies\nif (data.net_margin_percent < 0) {\n anomalies.push('Critical: Company is unprofitable with negative net margin');\n recommendations.push('Review cost structure and operating expenses to achieve profitability');\n}\nif (data.net_margin_percent < 5 && data.revenue > 0) {\n warnings.push('Low net profit margin indicates thin profitability');\n}\nif (data.gross_margin_percent < 20) {\n warnings.push('Low gross margin suggests high cost of goods sold');\n recommendations.push('Analyze pricing strategy and COGS reduction opportunities');\n}\n\n// Leverage anomalies\nif (parseFloat(data.debt_to_equity) > 2) {\n anomalies.push('Critical: Debt-to-equity ratio exceeds 2.0, high financial risk');\n recommendations.push('Consider debt reduction or equity injection to strengthen balance sheet');\n}\nif (parseFloat(data.debt_to_equity) > 1.5) {\n warnings.push('High leverage may limit financial flexibility');\n}\n\n// Cash flow anomalies\nif (data.free_cash_flow < 0) {\n anomalies.push('Critical: Negative free cash flow unsustainable long-term');\n recommendations.push('Reduce capital expenditures or improve operating cash flow generation');\n}\nif (data.free_cash_flow < data.net_income * 0.5) {\n warnings.push('Free cash flow significantly lower than net income (quality of earnings concern)');\n recommendations.push('Investigate working capital changes and cash conversion efficiency');\n}\n\n// Growth vs. profitability\nif (data.revenue_change_percent > 10 && data.net_income_change_percent < data.revenue_change_percent - 5) {\n warnings.push('Revenue growth outpacing profit growth indicates margin pressure');\n recommendations.push('Monitor cost control and operational efficiency during growth phase');\n}\n\n// ROE anomalies\nif (parseFloat(data.return_on_equity_percent) < 10) {\n warnings.push('Return on equity below 10% suggests suboptimal capital efficiency');\n}\nif (parseFloat(data.return_on_equity_percent) > 30) {\n recommendations.push('Exceptional ROE - consider whether leverage is sustainable');\n}\n\n// Working capital issues\nif (data.cash_conversion_cycle_days > 90) {\n warnings.push('Long cash conversion cycle indicates working capital pressure');\n recommendations.push('Improve inventory turnover or accelerate receivables collection');\n}\n\n// Asset utilization\nif (parseFloat(data.asset_turnover) < 0.5) {\n warnings.push('Low asset turnover suggests inefficient use of assets');\n recommendations.push('Review asset base efficiency and consider divestments if needed');\n}\n\n// Interest coverage\nif (data.interest_coverage !== 'N/A' && parseFloat(data.interest_coverage) < 2) {\n anomalies.push('Low interest coverage ratio (< 2.0) indicates debt service risk');\n recommendations.push('Prioritize debt reduction or EBITDA improvement');\n}\n\n// Revenue stability check\nif (Math.abs(data.revenue_change_percent) > 20) {\n warnings.push('Large revenue variance from prior period warrants investigation');\n}\n\n// --- Key Strengths ---\nconst strengths = [];\nif (parseFloat(data.current_ratio) > 2) strengths.push('Strong liquidity position');\nif (data.net_margin_percent > 15) strengths.push('Excellent profit margins');\nif (parseFloat(data.debt_to_equity) < 0.5) strengths.push('Conservative debt levels');\nif (data.free_cash_flow > data.net_income) strengths.push('Strong cash generation');\nif (data.revenue_change_percent > 10) strengths.push('Robust revenue growth');\nif (parseFloat(data.return_on_equity_percent) > 20) strengths.push('Excellent return on equity');\n\n// --- Performance Rating ---\nlet performanceRating = 'Average';\nif (anomalies.length > 2) performanceRating = 'Poor';\nelse if (anomalies.length > 0 || warnings.length > 3) performanceRating = 'Below Average';\nelse if (warnings.length > 0) performanceRating = 'Average';\nelse if (strengths.length > 3) performanceRating = 'Strong';\nelse if (strengths.length > 5) performanceRating = 'Excellent';\n\nreturn {\n json: {\n ...data,\n \n // Trend Analysis\n revenue_trend: revenueTrend,\n margin_trend: marginTrend,\n \n // Anomalies & Warnings\n critical_anomalies: anomalies,\n anomaly_count: anomalies.length,\n warnings: warnings,\n warning_count: warnings.length,\n \n // Recommendations\n strategic_recommendations: recommendations,\n \n // Strengths\n key_strengths: strengths,\n strength_count: strengths.length,\n \n // Overall Assessment\n performance_rating: performanceRating,\n analysis_timestamp: new Date().toISOString()\n }\n};" }, "typeVersion": 2 }, { "id": "145cc376-6846-4a02-8d91-d2be55c6f62c", "name": "Generate AI-powered insights", "type": "n8n-nodes-base.httpRequest", "position": [ 2016, 528 ], "parameters": { "url": "https://api.openai.com/v1/chat/completions", "method": "POST", "options": {}, "sendBody": true, "bodyParameters": { "parameters": [ { "name": "model", "value": "gpt-4o-mini" }, { "name": "messages", "value": "=[{\"role\": \"system\", \"content\": \"You are a financial analyst expert. Generate concise, executive-level financial insights based on the provided data.\"}, {\"role\": \"user\", \"content\": \"Analyze this financial data and provide 3-4 key insights:\\n\\nRevenue: $\" + $json.revenue + \"\\nNet Income: $\" + $json.net_income + \"\\nNet Margin: \" + $json.net_margin_percent + \"%\\nCash Flow: $\" + $json.free_cash_flow + \"\\nDebt/Equity: \" + $json.debt_to_equity + \"\\nHealth Score: \" + $json.financial_health_score + \"/100\\n\\nAnomalies: \" + $json.critical_anomalies.join(', ') + \"\\nRecommendations: \" + $json.strategic_recommendations.join(', ') + \"\"}]" }, { "name": "temperature", "value": "0.7" }, { "name": "max_tokens", "value": "500" } ] } }, "typeVersion": 4.2 }, { "id": "d281d367-1a9b-45c9-a7ee-4851da626664", "name": "Extract and format AI insights", "type": "n8n-nodes-base.code", "position": [ 2240, 528 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Extract AI insights from API response\nconst response = $input.item.json;\nconst data = $input.item.json.original_data || {};\n\nlet aiInsights = '';\nif (response.choices && response.choices.length > 0) {\n aiInsights = response.choices[0].message.content;\n}\n\nconst executiveSummary = `\nFINANCIAL PERFORMANCE SUMMARY (${data.reportMonth}):\n\n\ud83c\udfaf KEY METRICS:\n- Total Revenue: $${(data.revenue / 1000000).toFixed(1)}M (${data.revenue_change_percent > 0 ? '+' : ''}${data.revenue_change_percent}% YoY)\n- Net Income: $${(data.net_income / 1000000).toFixed(1)}M\n- Operating Margin: ${data.operating_margin_percent.toFixed(1)}%\n- Free Cash Flow: $${(data.free_cash_flow / 1000000).toFixed(1)}M\n- Financial Health Score: ${data.financial_health_score}/100 (${data.financial_health_category})\n\n\ud83d\udcca BALANCE SHEET STRENGTH:\n- Current Ratio: ${data.current_ratio} (Liquidity)\n- Debt-to-Equity: ${data.debt_to_equity} (Leverage)\n- Return on Equity: ${data.return_on_equity_percent}%\n- Working Capital: $${(data.working_capital / 1000000).toFixed(1)}M\n\n\ud83d\udea8 CRITICAL ITEMS (${data.anomaly_count}):\n${data.critical_anomalies.length > 0 ? data.critical_anomalies.map(a => '- ' + a).join('\\n') : '- No critical anomalies detected'}\n\n\u26a0\ufe0f WARNINGS (${data.warning_count}):\n${data.warnings.length > 0 ? data.warnings.map(w => '- ' + w).join('\\n') : '- No warnings'}\n\n\ud83d\udcaa STRENGTHS (${data.strength_count}):\n${data.key_strengths.length > 0 ? data.key_strengths.map(s => '- ' + s).join('\\n') : '- Standard performance'}\n\n\ud83c\udfaf STRATEGIC RECOMMENDATIONS:\n${data.strategic_recommendations.length > 0 ? data.strategic_recommendations.map(r => '- ' + r).join('\\n') : '- No immediate actions required'}\n\n\ud83e\udd16 AI ANALYSIS:\n${aiInsights}\n`;\n\nreturn {\n json: {\n ...data,\n ai_insights: aiInsights,\n executive_summary: executiveSummary,\n summary_generated: true\n }\n};" }, "typeVersion": 2 }, { "id": "9a54d6f7-4178-4302-b38d-6466b9ff38c2", "name": "Generate professional HTML report", "type": "n8n-nodes-base.code", "position": [ 2464, 528 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Generate professional HTML report\nconst data = $input.item.json;\n\nconst healthColor = data.financial_health_category === 'Excellent' ? '#22c55e' \n : data.financial_health_category === 'Good' ? '#84cc16' \n : data.financial_health_category === 'Fair' ? '#f59e0b' \n : data.financial_health_category === 'Poor' ? '#ef4444' \n : '#6b7280';\n\nconst healthIcon = data.financial_health_category === 'Excellent' ? '\u2b50\u2b50\u2b50' \n : data.financial_health_category === 'Good' ? '\u2b50\u2b50' \n : data.financial_health_category === 'Fair' ? '\u2b50' \n : '\u274c';\n\nconst reportHtml = `\n\n\n\n \n \n Financial Report - ${data.reportMonth}\n \n\n\n
\n
\n

Financial Report

\n

Executive Summary for ${data.reportMonth}

\n

Report ID: ${data.reportId}

\n
\n\n
\n
\n
\\$${(data.revenue / 1000000).toFixed(1)}M
\n
Total Revenue
\n
0 ? 'positive' : 'negative'}\">${data.revenue_change_percent > 0 ? '+' : ''}${data.revenue_change_percent}% YoY
\n
\n
\n
\\$${(data.net_income / 1000000).toFixed(1)}M
\n
Net Income
\n
0 ? 'positive' : 'negative'}\">${data.net_income_change_percent > 0 ? '+' : ''}${data.net_income_change_percent}%
\n
\n
\n
${data.net_margin_percent.toFixed(1)}%
\n
Net Margin
\n
10 ? 'positive' : 'warning'}\">Operating Health
\n
\n
\n
\\$${(data.free_cash_flow / 1000000).toFixed(1)}M
\n
Free Cash Flow
\n
0 ? 'positive' : 'negative'}\">Cash Generation
\n
\n
\n\n
\n

\ud83d\udcca Financial Health Assessment

\n
${healthIcon} ${data.financial_health_category} (Score: ${data.financial_health_score}/100)
\n \n \n \n \n \n \n
Current Ratio${data.current_ratio} (Liquidity)
Debt-to-Equity${data.debt_to_equity} (Leverage)
Return on Equity${data.return_on_equity_percent}% (ROE)
Asset Turnover${data.asset_turnover}x
Working Capital\\$${(data.working_capital / 1000000).toFixed(1)}M
\n
\n\n ${data.critical_anomalies.length > 0 ? `\n
\n

\ud83d\udea8 Critical Anomalies (${data.anomaly_count})

\n ${data.critical_anomalies.map(a => `
\u26a0\ufe0f ${a}
`).join('')}\n
\n ` : ''}\n\n ${data.warnings.length > 0 ? `\n
\n

\u26a0\ufe0f Warnings & Observations (${data.warning_count})

\n ${data.warnings.map(w => `
\ud83d\udccc ${w}
`).join('')}\n
\n ` : ''}\n\n ${data.key_strengths.length > 0 ? `\n
\n

\ud83d\udcaa Key Strengths (${data.strength_count})

\n ${data.key_strengths.map(s => `
\u2713 ${s}
`).join('')}\n
\n ` : ''}\n\n
\n

\ud83c\udfaf Strategic Recommendations

\n
    \n ${data.strategic_recommendations.length > 0 ? data.strategic_recommendations.map(r => `
  1. ${r}
    2. `).join('') : '
  2. Continue monitoring financial metrics quarterly
    3. '}\n
\n
\n\n
\n

\ud83e\udd16 AI-Powered Analysis

\n

${data.ai_insights}

\n
\n\n
\n

\ud83d\udcc8 Detailed Metrics

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
MetricValue
Gross Profit\\$${(data.gross_profit / 1000000).toFixed(1)}M
Gross Margin${data.gross_margin_percent.toFixed(1)}%
Operating Income\\$${(data.operating_income / 1000000).toFixed(1)}M
EBITDA\\$${(data.ebitda / 1000000).toFixed(1)}M
Operating Cash Flow\\$${(data.operating_cash_flow / 1000000).toFixed(1)}M
Days Receivables Outstanding${data.days_receivables_outstanding} days
Days Inventory Outstanding${data.days_inventory_outstanding} days
Cash Conversion Cycle${data.cash_conversion_cycle_days} days
Total Assets\\$${(data.total_assets / 1000000).toFixed(1)}M
Total Liabilities\\$${(data.total_liabilities / 1000000).toFixed(1)}M
Total Equity\\$${(data.total_equity / 1000000).toFixed(1)}M
\n
\n\n
\n

AI Financial Report Analyzer

\n

Generated: ${data.timestamp}

\n

This report is for management review and decision-making purposes

\n
\n
\n\n\n`;\n\nreturn {\n json: {\n ...data,\n report_html: reportHtml,\n report_generated: true,\n report_title: `Financial Report - ${data.reportMonth}`,\n report_size_kb: Math.round(reportHtml.length / 1024)\n }\n};" }, "typeVersion": 2 }, { "id": "abdb8991-a0f3-4fef-aa36-c62a80fab38e", "name": "Store report in database", "type": "n8n-nodes-base.postgres", "position": [ 2688, 528 ], "parameters": { "table": "financial_reports", "schema": { "__rl": true, "mode": "list", "value": "public" }, "columns": { "value": {}, "schema": [], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.5 }, { "id": "b67b4383-3cb0-45ac-bb00-19eb5763bba4", "name": "Post report summary to Slack", "type": "n8n-nodes-base.httpRequest", "position": [ 2912, 432 ], "parameters": { "url": "YOUR_SLACK_WEBHOOK_URL", "method": "POST", "options": {}, "jsonBody": "={\n \"text\": \"\ud83d\udcca Monthly Financial Report - {{ $json.reportMonth }}\",\n \"blocks\": [\n {\n \"type\": \"section\",\n \"text\": {\n \"type\": \"mrkdwn\",\n \"text\": \"*Financial Report for {{ $json.reportMonth }}*\\n\\n\ud83d\udcb0 *Revenue:* ${{ ($json.revenue / 1000000).toFixed(1) }}M ({{ $json.revenue_change_percent > 0 ? '+' : '' }}{{ $json.revenue_change_percent }}% YoY)\\n\ud83d\udcb5 *Net Income:* ${{ ($json.net_income / 1000000).toFixed(1) }}M\\n\ud83d\udcc8 *Net Margin:* {{ $json.net_margin_percent.toFixed(1) }}%\\n\ud83d\udcb8 *Free Cash Flow:* ${{ ($json.free_cash_flow / 1000000).toFixed(1) }}M\\n\u2b50 *Health Score:* {{ $json.financial_health_score }}/100 ({{ $json.financial_health_category }})\\n\\n\ud83c\udfaf *Performance:* {{ $json.performance_rating }}\\n\ud83d\udea8 *Anomalies:* {{ $json.anomaly_count }}\\n\u26a0\ufe0f *Warnings:* {{ $json.warning_count }}\"\n }\n }\n ]\n}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4.2 }, { "id": "9baeaf5c-5030-4215-8199-ca0302039cdd", "name": "Email report to management", "type": "n8n-nodes-base.emailSend", "position": [ 2912, 624 ], "parameters": { "html": "={{ $json.report_html }}", "options": {}, "subject": "{{ $json.report_title }}", "toEmail": "user@example.com", "fromEmail": "noreply@example.com" }, "credentials": { "smtp": { "name": "" } }, "typeVersion": 2.1 }, { "id": "cfbdf0ec-94f2-41b5-8c62-d0bfade59083", "name": "Log report generation completion", "type": "n8n-nodes-base.code", "position": [ 3136, 528 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Log report completion and track statistics\nconst timestamp = new Date().toISOString();\nconst data = $input.item.json;\n\nconsole.log(`\u2705 FINANCIAL REPORT GENERATED: ${data.reportId} | Month: ${data.reportMonth} | Revenue: $${(data.revenue/1000000).toFixed(1)}M | Health: ${data.financial_health_score}/100 | Status: ${data.performance_rating} | Time: ${timestamp}`);\n\n// Aggregate statistics\nconst stats = $getWorkflowStaticData('global').stats || {\n total_reports_generated: 0,\n avg_revenue: 0,\n avg_net_margin: 0,\n avg_health_score: 0,\n critical_months: 0,\n excellent_months: 0,\n total_anomalies: 0,\n last_generated: null\n};\n\nstats.total_reports_generated++;\nstats.avg_revenue = ((stats.avg_revenue * (stats.total_reports_generated - 1)) + data.revenue) / stats.total_reports_generated;\nstats.avg_net_margin = ((stats.avg_net_margin * (stats.total_reports_generated - 1)) + data.net_margin_percent) / stats.total_reports_generated;\nstats.avg_health_score = ((stats.avg_health_score * (stats.total_reports_generated - 1)) + data.financial_health_score) / stats.total_reports_generated;\nif (data.financial_health_category === 'Critical') stats.critical_months++;\nif (data.financial_health_category === 'Excellent') stats.excellent_months++;\nstats.total_anomalies += data.anomaly_count;\nstats.last_generated = timestamp;\n\n$getWorkflowStaticData('global').stats = stats;\n\nreturn {\n json: {\n success: true,\n report_id: data.reportId,\n month: data.reportMonth,\n revenue: data.revenue,\n health_score: data.financial_health_score,\n health_category: data.financial_health_category,\n performance_rating: data.performance_rating,\n anomalies: data.anomaly_count,\n warnings: data.warning_count,\n timestamp,\n cumulativeStats: stats\n }\n};" }, "typeVersion": 2 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "8bb8c85c-5b9d-4e56-8673-f03c1f259acf", "connections": { "Fetch P&L statement": { "main": [ [ { "node": "Merge all financial statements", "type": "main", "index": 0 } ] ] }, "Fetch balance sheet": { "main": [ [ { "node": "Merge all financial statements", "type": "main", "index": 1 } ] ] }, "Store report in database": { "main": [ [ { "node": "Post report summary to Slack", "type": "main", "index": 0 }, { "node": "Email report to management", "type": "main", "index": 0 } ] ] }, "Fetch cash flow statement": { "main": [ [ { "node": "Merge all financial statements", "type": "main", "index": 0 } ] ] }, "Email report to management": { "main": [ [ { "node": "Log report generation completion", "type": "main", "index": 0 } ] ] }, "Generate AI-powered insights": { "main": [ [ { "node": "Extract and format AI insights", "type": "main", "index": 0 } ] ] }, "Post report summary to Slack": { "main": [ [ { "node": "Log report generation completion", "type": "main", "index": 0 } ] ] }, "Extract and format AI insights": { "main": [ [ { "node": "Generate professional HTML report", "type": "main", "index": 0 } ] ] }, "Merge all financial statements": { "main": [ [ { "node": "Normalize and validate financial data", "type": "main", "index": 0 } ] ] }, "Monthly analysis on 1st at 8 AM": { "main": [ [ { "node": "Fetch P&L statement", "type": "main", "index": 0 }, { "node": "Fetch balance sheet", "type": "main", "index": 0 }, { "node": "Fetch cash flow statement", "type": "main", "index": 0 }, { "node": "Fetch previous period data for comparison", "type": "main", "index": 0 } ] ] }, "Generate professional HTML report": { "main": [ [ { "node": "Store report in database", "type": "main", "index": 0 } ] ] }, "Analyze trends and detect anomalies": { "main": [ [ { "node": "Generate AI-powered insights", "type": "main", "index": 0 } ] ] }, "Normalize and validate financial data": { "main": [ [ { "node": "Analyze trends and detect anomalies", "type": "main", "index": 0 } ] ] }, "Fetch previous period data for comparison": { "main": [ [ { "node": "Merge all financial statements", "type": "main", "index": 1 } ] ] } } }