{ "name": "Sales Pipeline Enrichment", "nodes": [ { "parameters": {}, "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ -1320, -260 ], "id": "c10f8c9e-3374-7e92-0205-8acc3492e07f", "name": "Manual Trigger (dev)", "notes": "Manual trigger for local testing and portfolio demonstration." }, { "parameters": { "httpMethod": "POST", "path": "sales-pipeline-enrichment", "responseMode": "lastNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ -1320, -40 ], "id": "bccb1b85-1826-a582-968f-98bde38fa14b", "name": "Lead Webhook (prod placeholder)", "notes": "Production entry point for website forms, landing pages, ad forms or CRM webhooks. Configure auth and payload mapping for client use." }, { "parameters": { "assignments": { "assignments": [ { "id": "id_1", "name": "email", "value": "jane.doe@acme.com", "type": "string" }, { "id": "id_2", "name": "name", "value": "Jane Doe", "type": "string" }, { "id": "id_3", "name": "company", "value": "Acme Corp", "type": "string" }, { "id": "id_4", "name": "website", "value": "https://acme.com", "type": "string" }, { "id": "id_5", "name": "source", "value": "Landing page - ebook download", "type": "string" }, { "id": "id_6", "name": "utm_campaign", "value": "q1_pipeline_boost", "type": "string" }, { "id": "id_7", "name": "utm_medium", "value": "paid-social", "type": "string" }, { "id": "id_8", "name": "simulate_source_status", "value": "{}", "type": "string" }, { "id": "id_9", "name": "simulate_action_failures", "value": "{}", "type": "string" }, { "id": "id_10", "name": "lead_source_id", "value": "lead_demo_001", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1080, -260 ], "id": "27f8a1ed-d338-71df-2bab-a09bbd07faad", "name": "Set Example Lead Input", "notes": "Demo payload. Replace with webhook, CRM polling, paid ads forms or product sign-up data in production." }, { "parameters": { "jsCode": "const input = items[0]?.json ?? {};\n\nfunction parseJsonObject(value, fallback, fieldName) {\n if (value === undefined || value === null || value === '') return fallback;\n if (typeof value === 'object' && !Array.isArray(value)) return value;\n try {\n const parsed = JSON.parse(value);\n if (parsed && typeof parsed === 'object' && !Array.isArray(parsed)) return parsed;\n } catch (error) {\n throw new Error(`${fieldName} must be valid JSON object`);\n }\n throw new Error(`${fieldName} must be a JSON object`);\n}\n\nconst lead = {\n email: String(input.email ?? '').trim().toLowerCase(),\n name: String(input.name ?? '').trim(),\n company: String(input.company ?? '').trim(),\n website: String(input.website ?? '').trim(),\n source: String(input.source ?? '').trim(),\n utm_campaign: String(input.utm_campaign ?? '').trim(),\n utm_medium: String(input.utm_medium ?? '').trim(),\n lead_source_id: String(input.lead_source_id ?? '').trim(),\n};\n\nconst missing = [];\nfor (const field of ['email', 'company']) {\n if (!lead[field]) missing.push(field);\n}\nif (missing.length) throw new Error(`Missing required lead fields: ${missing.join(', ')}`);\nif (!/^[^@\\s]+@[^@\\s]+\\.[^@\\s]+$/.test(lead.email)) throw new Error('Lead email is not valid');\n\nconst domain = lead.email.split('@')[1].toLowerCase();\nconst freeEmailDomains = new Set(['gmail.com','outlook.com','hotmail.com','yahoo.com','icloud.com','proton.me','protonmail.com']);\nconst companyDomain = lead.website ? lead.website.replace(/^https?:\\/\\//,'').replace(/^www\\./,'').split('/')[0].toLowerCase() : domain;\n\nconst simulateSourceStatus = parseJsonObject(input.simulate_source_status, {}, 'simulate_source_status');\nconst simulateActionFailures = parseJsonObject(input.simulate_action_failures, {}, 'simulate_action_failures');\n\nconst config = {\n min_score_for_sales_alert: Number(input.min_score_for_sales_alert ?? 60),\n enterprise_score_threshold: Number(input.enterprise_score_threshold ?? 85),\n mid_market_score_threshold: Number(input.mid_market_score_threshold ?? 60),\n scoring_version: 'sales-fit-v1',\n retry_policy: {\n max_attempts: 3,\n backoff: 'exponential',\n retry_on: ['429', '408', '5xx', 'network_timeout'],\n },\n llm_policy: {\n enabled: String(input.llm_enabled ?? 'true') !== 'false',\n endpoint: String(input.llm_endpoint ?? 'http://localhost:5001/completions'),\n parameter: 'prompt',\n purpose: 'qualification wording only; deterministic score and route remain authoritative',\n data_minimisation: ['company', 'website_domain', 'industry', 'employee_count_band', 'country', 'source', 'score_reasons'],\n },\n simulate_source_status: simulateSourceStatus,\n simulate_action_failures: simulateActionFailures,\n};\n\nif (Number.isNaN(config.min_score_for_sales_alert) || config.min_score_for_sales_alert < 0 || config.min_score_for_sales_alert > 100) {\n throw new Error('min_score_for_sales_alert must be between 0 and 100');\n}\n\nconst runId = `sales-enrichment-${lead.email}-${Date.now()}`;\nconst idempotencyBase = `${lead.email}:${lead.company}:${config.scoring_version}`;\n\nreturn [{\n json: {\n lead,\n control: {\n run_id: runId,\n checked_at: new Date().toISOString(),\n email_domain: domain,\n company_domain: companyDomain,\n is_free_email_domain: freeEmailDomains.has(domain),\n idempotency_keys: {\n crm_upsert: `${idempotencyBase}:crm-upsert`,\n sales_notification: `${idempotencyBase}:sales-notification`,\n enrichment_log: `${idempotencyBase}:enrichment-log`,\n },\n },\n config,\n },\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -840, -260 ], "id": "cffede90-3906-b73b-7391-581c668c89cf", "name": "Validate Lead / Control Config", "notes": "Validates lead payload, applies defaults, creates idempotency keys and records data-handling controls." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst status = source.config?.simulate_source_status?.company ?? 'success';\nconst startedAt = new Date().toISOString();\n\nfunction makeResult(status, data, warning) {\n return [{ json: { ...source, company_enrichment_result: { source: 'company_data', status, checked_at: startedAt, completed_at: new Date().toISOString(), source_timestamp: new Date().toISOString(), retry_policy: source.config.retry_policy, data, warning } } }];\n}\n\ntry {\n if (status === 'failed') throw new Error('Simulated company enrichment provider failure');\n if (status === 'empty') return makeResult('empty', {}, 'Company provider returned no matching company record');\n const data = {\n legal_name: source.lead.company,\n employee_count: 350,\n employee_count_band: '201-500',\n industry: 'SaaS',\n country: 'US',\n annual_revenue_band: '10m-50m',\n funding_stage: 'Series B',\n };\n if (status === 'partial') {\n delete data.annual_revenue_band;\n return makeResult('partial', data, 'Company enrichment missing revenue band');\n }\n return makeResult('success', data);\n} catch (error) {\n return makeResult('failed', {}, error.message);\n}\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -560, -560 ], "id": "86748247-7601-5b34-7390-f4e1fceba504", "name": "Enrich Company Data", "notes": "Placeholder for Clearbit/Apollo/ZoomInfo/CRM firmographic enrichment. Returns structured source status." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst status = source.config?.simulate_source_status?.tech_stack ?? 'success';\nconst startedAt = new Date().toISOString();\n\nfunction makeResult(status, data, warning) {\n return [{ json: { ...source, tech_stack_result: { source: 'tech_stack', status, checked_at: startedAt, completed_at: new Date().toISOString(), source_timestamp: new Date().toISOString(), retry_policy: source.config.retry_policy, data, warning } } }];\n}\n\ntry {\n if (status === 'failed') throw new Error('Simulated tech-stack enrichment failure');\n if (status === 'empty') return makeResult('empty', { technologies: [] }, 'No technologies detected for domain');\n const data = { technologies: ['AWS', 'PostgreSQL', 'HubSpot', 'Segment'], has_crm: true, has_cloud_stack: true, has_data_stack: true };\n if (status === 'partial') {\n data.technologies = ['AWS', 'HubSpot'];\n return makeResult('partial', data, 'Only partial technology fingerprint available');\n }\n return makeResult('success', data);\n} catch (error) {\n return makeResult('failed', { technologies: [] }, error.message);\n}\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -560, -360 ], "id": "4b8c4f02-2daa-eeaf-9c09-3b6ef179a47b", "name": "Enrich Tech Stack", "notes": "Placeholder for BuiltWith/Wappalyzer/internal technology lookup. Returns structured source status." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst status = source.config?.simulate_source_status?.intent ?? 'success';\nconst startedAt = new Date().toISOString();\n\nfunction makeResult(status, data, warning) {\n return [{ json: { ...source, intent_signal_result: { source: 'behavioural_intent', status, checked_at: startedAt, completed_at: new Date().toISOString(), source_timestamp: new Date().toISOString(), retry_policy: source.config.retry_policy, data, warning } } }];\n}\n\ntry {\n if (status === 'failed') throw new Error('Simulated product/marketing intent source failure');\n if (status === 'empty') return makeResult('empty', {}, 'No behavioural intent events found');\n const data = {\n source_quality: source.lead.source.toLowerCase().includes('ebook') ? 'medium' : 'standard',\n page_views_7d: 9,\n pricing_page_views_7d: 2,\n demo_requested: false,\n content_downloaded: true,\n campaign: source.lead.utm_campaign,\n };\n if (status === 'partial') {\n delete data.pricing_page_views_7d;\n return makeResult('partial', data, 'Intent data missing pricing-page events');\n }\n return makeResult('success', data);\n} catch (error) {\n return makeResult('failed', {}, error.message);\n}\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -560, -160 ], "id": "2ff36595-10d1-6aac-b816-6f5500312e3e", "name": "Enrich Intent Signals", "notes": "Placeholder for website/product/ad engagement events. Returns structured source status." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst status = source.config?.simulate_source_status?.crm_history ?? 'success';\nconst startedAt = new Date().toISOString();\n\nfunction makeResult(status, data, warning) {\n return [{ json: { ...source, crm_history_result: { source: 'crm_history', status, checked_at: startedAt, completed_at: new Date().toISOString(), source_timestamp: new Date().toISOString(), retry_policy: source.config.retry_policy, data, warning } } }];\n}\n\ntry {\n if (status === 'failed') throw new Error('Simulated CRM history lookup failure');\n if (status === 'empty') return makeResult('empty', { existing_account: false }, 'No existing CRM account or contact found');\n const data = {\n existing_account: true,\n account_id: 'acct_acme',\n lifecycle_stage: 'prospect',\n open_opportunities: 0,\n last_contacted_at: '2026-06-28',\n account_owner: 'midmarket@yourcompany.com',\n };\n if (status === 'partial') {\n delete data.last_contacted_at;\n return makeResult('partial', data, 'CRM account found but last-contact timestamp missing');\n }\n return makeResult('success', data);\n} catch (error) {\n return makeResult('failed', {}, error.message);\n}\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -560, 40 ], "id": "99a1320e-2ba3-ad3d-a6de-497e71dd1410", "name": "Lookup CRM History", "notes": "Placeholder for CRM duplicate/history lookup. Returns structured source status." }, { "parameters": { "mode": "combine", "combinationMode": "mergeByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 2, "position": [ -300, -460 ], "id": "0101e584-3122-cb37-fed7-b695c54e2bf4", "name": "Merge Company + Tech" }, { "parameters": { "mode": "combine", "combinationMode": "mergeByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 2, "position": [ -300, -60 ], "id": "71d50950-12e7-399a-388a-053987d07cb5", "name": "Merge Intent + CRM" }, { "parameters": { "mode": "combine", "combinationMode": "mergeByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 2, "position": [ -60, -260 ], "id": "197a53f3-e50a-275f-3087-b310f1632f4c", "name": "Merge All Enrichment" }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst sourceResults = {\n company_data: source.company_enrichment_result,\n tech_stack: source.tech_stack_result,\n behavioural_intent: source.intent_signal_result,\n crm_history: source.crm_history_result,\n};\n\nconst warnings = [];\nconst failed_sources = [];\nfor (const [key, result] of Object.entries(sourceResults)) {\n if (!result) {\n warnings.push(`${key}: missing source result`);\n failed_sources.push(key);\n continue;\n }\n if (['failed', 'partial', 'empty'].includes(result.status)) {\n warnings.push(`${key}: ${result.status}${result.warning ? ` - ${result.warning}` : ''}`);\n }\n if (result.status === 'failed') failed_sources.push(key);\n}\n\nconst company = sourceResults.company_data?.data ?? {};\nconst tech = sourceResults.tech_stack?.data ?? {};\nconst intent = sourceResults.behavioural_intent?.data ?? {};\nconst crm = sourceResults.crm_history?.data ?? {};\n\nconst enriched_lead = {\n ...source.lead,\n enrichment: {\n legal_name: company.legal_name ?? source.lead.company,\n employee_count: company.employee_count,\n employee_count_band: company.employee_count_band,\n industry: company.industry,\n country: company.country,\n annual_revenue_band: company.annual_revenue_band,\n funding_stage: company.funding_stage,\n tech_stack: tech.technologies ?? [],\n has_crm: Boolean(tech.has_crm),\n has_cloud_stack: Boolean(tech.has_cloud_stack),\n has_data_stack: Boolean(tech.has_data_stack),\n intent,\n crm_history: crm,\n },\n};\n\nreturn [{ json: { ...source, source_results: sourceResults, source_warnings: warnings, failed_sources, enriched_lead } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 180, -260 ], "id": "a26a18cc-a961-8abf-f3f0-a20533f6488d", "name": "Aggregate Enrichment Results", "notes": "Combines enrichment branch outputs, records source freshness, missing-source warnings and degraded-source status." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst alerts = [];\nfor (const [key, result] of Object.entries(source.source_results ?? {})) {\n if (!result) continue;\n if (['failed', 'partial', 'empty'].includes(result.status)) {\n alerts.push({\n alert_type: 'sales_enrichment_source_degraded',\n source: key,\n status: result.status,\n warning: result.warning,\n checked_at: result.checked_at,\n recommended_action: 'Check enrichment credentials, provider availability, rate limits and payload mapping.',\n });\n }\n}\nreturn [{ json: { ...source, operations_alerts: alerts } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 420, -260 ], "id": "c4a3ac6b-7010-edc4-a67e-f557679c9b3a", "name": "Prepare Source Failure Alerts", "notes": "Creates operations alert payloads for failed, empty or partial enrichment sources." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst lead = source.enriched_lead;\nconst e = lead.enrichment ?? {};\nconst reasons = [];\nlet score = 0;\n\nconst employeeCount = Number(e.employee_count ?? 0);\nif (employeeCount >= 1000) { score += 35; reasons.push('Large enterprise employee count'); }\nelse if (employeeCount >= 200) { score += 28; reasons.push('Mid-market employee count'); }\nelse if (employeeCount >= 50) { score += 18; reasons.push('Commercial employee count'); }\nelse { score += 6; reasons.push('Small company size'); }\n\nif (['SaaS','Financial Services','Technology'].includes(e.industry)) { score += 18; reasons.push(`Industry fit: ${e.industry}`); }\nif (['US','GB','CA','AU','IE'].includes(e.country)) { score += 10; reasons.push(`Supported sales region: ${e.country}`); }\nif ((e.tech_stack ?? []).includes('HubSpot') || e.has_crm) { score += 8; reasons.push('CRM or revenue tooling detected'); }\nif (e.has_cloud_stack) { score += 7; reasons.push('Modern cloud stack detected'); }\nif (e.intent?.pricing_page_views_7d >= 2) { score += 12; reasons.push('Recent pricing-page activity'); }\nif (e.intent?.content_downloaded) { score += 5; reasons.push('Content engagement present'); }\nif (e.crm_history?.existing_account) { score += 6; reasons.push('Existing CRM account context available'); }\nif (source.control?.is_free_email_domain) { score -= 12; reasons.push('Free email domain reduces confidence'); }\nif ((source.failed_sources ?? []).length) { score -= Math.min(10, source.failed_sources.length * 4); reasons.push('Score confidence reduced by failed enrichment source'); }\n\nscore = Math.max(0, Math.min(100, score));\nlet segment = 'self-serve';\nlet route = 'self_serve_nurture';\nif (score >= source.config.enterprise_score_threshold || employeeCount >= 1000) { segment = 'enterprise'; route = 'enterprise_sales'; }\nelse if (score >= source.config.mid_market_score_threshold) { segment = 'mid-market'; route = 'mid_market_sales'; }\n\nconst confidence = (source.failed_sources ?? []).length ? 'medium' : (source.source_warnings?.length ? 'medium' : 'high');\nconst should_notify_sales = score >= source.config.min_score_for_sales_alert;\n\nreturn [{ json: { ...source, scored_lead: { ...lead, score, segment, route, score_reasons: reasons, score_confidence: confidence, should_notify_sales, scoring_version: source.config.scoring_version } } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 660, -260 ], "id": "d6a9772c-c17c-75a9-c254-00c43b95ab85", "name": "Score and Route Lead", "notes": "Applies deterministic scoring and routing rules. The score and route are the decision source for CRM and sales notifications." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst lead = source.scored_lead;\n\nif (!lead) {\n throw new Error('LLM qualification prompt expected scored_lead context');\n}\n\nconst e = lead.enrichment ?? {};\n\nconst promptPayload = {\n company: lead.company,\n website_domain: source.control?.company_domain,\n industry: e.industry,\n employee_count_band: e.employee_count_band,\n country: e.country,\n source: lead.source,\n score: lead.score,\n segment: lead.segment,\n route: lead.route,\n score_reasons: lead.score_reasons,\n source_warnings: source.source_warnings,\n};\n\nconst prompt = [\n 'Write a concise B2B sales qualification note.',\n 'Use only the provided account-level data. Do not invent facts.',\n 'The deterministic score, segment and route are authoritative.',\n 'Return only the note. Do not include JSON. Do not include a stop token.',\n 'Use exactly this structure:',\n '## Account summary',\n 'One sentence, maximum 35 words.',\n '',\n '## Qualification notes',\n '- Maximum 3 bullets.',\n '- Each bullet must be under 18 words.',\n '',\n 'Total response limit: 100 words.',\n '',\n 'Account data:',\n JSON.stringify(promptPayload, null, 2),\n].join(String.fromCharCode(10));\n\nreturn [{\n json: {\n ...source,\n llm_qualification_request: {\n enabled: source.config.llm_policy.enabled,\n endpoint: source.config.llm_policy.endpoint,\n body: {\n prompt,\n alias: 'general',\n n_predict: 120,\n max_tokens: 120,\n temperature: 0.1,\n top_p: 0.85,\n },\n data_policy: source.config.llm_policy,\n prompt_payload: promptPayload,\n response_contract: {\n max_words: 100,\n required_sections: ['Account summary', 'Qualification notes'],\n },\n },\n },\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 900, -260 ], "id": "54a40cb3-4e70-542e-d3da-abba74111efc", "name": "Prepare Optional LLM Qualification Prompt", "notes": "Prepares a data-minimised, tightly bounded prompt for qualification wording. Deterministic score and route remain authoritative." }, { "parameters": { "method": "POST", "url": "http://localhost:5001/completions", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "content-type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify($json[\"llm_qualification_request\"][\"body\"]) }}", "options": { "timeout": 45000, "retryOnFail": false, "maxRetries": 0 } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.3, "position": [ 1140, -260 ], "id": "5c3c30fc-b6a6-ecb2-ab65-b1580e1b7039", "name": "Call Local LLM Qualification", "notes": "Calls the local LLM endpoint with bounded generation controls. n_predict/max_tokens are set and no stop token is used because stop-only responses can produce empty content.", "onError": "continueErrorOutput" }, { "parameters": { "jsCode": "const response = items[0]?.json ?? {};\n\nfunction readOriginalContext() {\n const candidates = [];\n\n try {\n candidates.push($('Prepare Optional LLM Qualification Prompt').first().json);\n } catch (error) {}\n\n try {\n candidates.push($items('Prepare Optional LLM Qualification Prompt', 0, 0)?.[0]?.json);\n } catch (error) {}\n\n for (const candidate of candidates) {\n if (candidate && typeof candidate === 'object' && candidate.control && candidate.scored_lead) {\n return candidate;\n }\n }\n\n return {};\n}\n\nfunction firstString(...values) {\n for (const value of values) {\n if (typeof value === 'string' && value.trim()) return value.trim();\n }\n return '';\n}\n\nfunction deterministicSummary(original, reason) {\n const lead = original.scored_lead ?? original.enriched_lead ?? original.lead ?? {};\n const reasons = Array.isArray(lead.score_reasons) ? lead.score_reasons.slice(0, 3) : [];\n const company = lead.company ?? 'This lead';\n const route = lead.route ?? 'sales review';\n const score = lead.score ?? 'n/a';\n\n const summary = [\n '## Account summary',\n `${company} is routed to ${route} with a deterministic score of ${score}.`,\n '',\n '## Qualification notes',\n ...(reasons.length ? reasons.map(item => `- ${item}`) : ['- Deterministic scoring context was used because LLM output was unavailable.']),\n ].join(String.fromCharCode(10));\n\n return {\n ...original,\n llm_response_metadata: response,\n llm_summary: summary,\n qualification_mode: 'deterministic_fallback',\n llm_failure_alert: {\n alert_type: 'sales_qualification_llm_empty_or_invalid',\n message: reason,\n },\n };\n}\n\nconst original = readOriginalContext();\n\nlet content = firstString(\n response.response,\n response.content,\n response.text,\n response.output,\n response.generated_text,\n response.message?.content,\n response.choices?.[0]?.message?.content,\n response.choices?.[0]?.text,\n response.data?.content,\n response.data?.text,\n response.data?.output,\n response.data?.choices?.[0]?.message?.content,\n response.data?.choices?.[0]?.text\n);\n\nif (!content && Array.isArray(response.output)) {\n content = response.output\n .map(part => typeof part === 'string' ? part : part?.content || part?.text || '')\n .filter(Boolean)\n .join(String.fromCharCode(10))\n .trim();\n}\n\ncontent = content\n .replace(/END_QUALIFICATION[\\s\\S]*$/i, '')\n .trim();\n\nif (!original.control || !original.scored_lead) {\n throw new Error('LLM extraction could not recover original scored lead context');\n}\n\nif (!content) {\n const availableKeys = Object.keys(response).sort().join(', ');\n return [{ json: deterministicSummary(original, `LLM returned empty content. Available top-level fields: ${availableKeys}`) }];\n}\n\nif (content.length > 2500) {\n return [{ json: deterministicSummary(original, 'LLM qualification response exceeded safe length') }];\n}\n\nreturn [{\n json: {\n ...original,\n llm_response_metadata: response,\n llm_summary: content,\n qualification_mode: 'llm',\n },\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1380, -260 ], "id": "1834d3b0-4228-9dda-0227-4787d6c62de1", "name": "Extract Qualification Summary", "notes": "Normalises LLM response shapes into llm_summary and falls back deterministically on empty or oversized content while preserving original lead context.", "onError": "continueErrorOutput" }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\n\nfunction readOriginalContext() {\n const candidates = [source];\n\n try {\n candidates.push($('Prepare Optional LLM Qualification Prompt').first().json);\n } catch (error) {}\n\n try {\n candidates.push($items('Prepare Optional LLM Qualification Prompt', 0, 0)?.[0]?.json);\n } catch (error) {}\n\n for (const candidate of candidates) {\n if (candidate && typeof candidate === 'object' && candidate.control && candidate.scored_lead) {\n return candidate;\n }\n }\n\n return source;\n}\n\nconst original = readOriginalContext();\nconst lead = original.scored_lead ?? original.enriched_lead ?? original.lead ?? {};\nconst reasons = lead.score_reasons ?? [];\n\nconst summary = [\n '## Account summary',\n `${lead.company ?? 'This lead'} is routed to ${lead.route ?? 'sales review'} with a score of ${lead.score ?? 'n/a'}.`,\n '',\n '## Qualification notes',\n ...(reasons.length\n ? reasons.map(reason => `- ${reason}`)\n : ['- Qualification reasons unavailable because deterministic scoring context was not available.']),\n].join(String.fromCharCode(10));\n\nreturn [{\n json: {\n ...original,\n llm_response_metadata: source,\n llm_summary: summary,\n qualification_mode: 'deterministic_fallback',\n llm_failure_alert: {\n alert_type: 'sales_qualification_llm_failed',\n message: source.error?.message || source.message || 'Local LLM qualification failed or returned an unexpected response shape',\n },\n },\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1380, 20 ], "id": "49fb594d-7b73-355e-93a3-c4f4f0a5dc28", "name": "Build Deterministic Qualification Fallback", "notes": "Creates deterministic qualification wording when the optional LLM call fails." }, { "parameters": { "mode": "combine", "combinationMode": "mergeByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 2, "position": [ 1620, -160 ], "id": "c2bc99ca-3cf7-e16a-1f44-277a51f3879a", "name": "Merge Qualification Paths" }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst lead = source.scored_lead ?? {};\nconst failures = source.config?.simulate_action_failures ?? {};\n\nif (!source.control?.idempotency_keys || !source.scored_lead) {\n throw new Error('Expected enriched lead context was missing before action preparation. Check LLM qualification merge/context preservation path.');\n}\nconst failed = Boolean(failures.crm_upsert);\nconst result = failed ? {\n action: 'crm_upsert',\n status: 'failed',\n idempotency_key: source.control.idempotency_keys.crm_upsert,\n error: 'Simulated CRM upsert failure',\n completed_at: new Date().toISOString(),\n} : {\n action: 'crm_upsert',\n status: 'prepared',\n idempotency_key: source.control.idempotency_keys.crm_upsert,\n completed_at: new Date().toISOString(),\n payload: {\n email: lead.email,\n name: lead.name,\n company: lead.company,\n website: lead.website,\n score: lead.score,\n segment: lead.segment,\n route: lead.route,\n score_confidence: lead.score_confidence,\n qualification_summary: source.llm_summary,\n source_warnings: source.source_warnings,\n },\n note: 'Replace this payload with HubSpot/Salesforce/Pipedrive/CRM upsert node.',\n};\nreturn [{ json: { ...source, crm_upsert_result: result } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1860, -360 ], "id": "e55e410b-0bd2-ab60-7f9c-c0039a51a345", "name": "Prepare CRM Upsert (placeholder)", "notes": "Prepares CRM upsert payload with idempotency key. Replace with CRM connector in production." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst lead = source.scored_lead ?? {};\nconst failures = source.config?.simulate_action_failures ?? {};\nconst shouldNotify = Boolean(lead.should_notify_sales);\nlet result;\nif (!shouldNotify) {\n result = { action: 'sales_notification', status: 'skipped', reason: 'Score below sales alert threshold', idempotency_key: source.control.idempotency_keys.sales_notification };\n} else if (failures.sales_notification) {\n result = { action: 'sales_notification', status: 'failed', error: 'Simulated sales notification failure', idempotency_key: source.control.idempotency_keys.sales_notification };\n} else {\n const channel = lead.route === 'enterprise_sales' ? '#sales-enterprise' : lead.route === 'mid_market_sales' ? '#sales-mid-market' : '#sales-self-serve';\n const message = [\n `New ${lead.segment} lead: ${lead.company}`,\n `Score: ${lead.score} (${lead.score_confidence} confidence)`,\n `Route: ${lead.route}`,\n `Contact: ${lead.name || 'Unknown'} <${lead.email}>`,\n '',\n source.llm_summary || 'No qualification summary available.',\n ].join(String.fromCharCode(10));\n result = { action: 'sales_notification', status: 'prepared', idempotency_key: source.control.idempotency_keys.sales_notification, channel, message, note: 'Replace this payload with Slack, Teams or email delivery node.' };\n}\nreturn [{ json: { ...source, sales_notification_result: result } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1860, -160 ], "id": "247f393b-ead8-ae58-193e-68af31155249", "name": "Prepare Sales Notification (placeholder)", "notes": "Prepares Slack/Teams/email notification payload for the selected sales route." }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst lead = source.scored_lead ?? {};\nconst result = {\n action: 'enrichment_log',\n status: 'prepared',\n idempotency_key: source.control.idempotency_keys.enrichment_log,\n logged_at: new Date().toISOString(),\n record: {\n lead_email: lead.email,\n company: lead.company,\n score: lead.score,\n segment: lead.segment,\n route: lead.route,\n source_results: source.source_results,\n source_warnings: source.source_warnings,\n qualification_mode: source.qualification_mode,\n },\n note: 'Replace this payload with database, warehouse, spreadsheet or CRM activity logging.',\n};\nreturn [{ json: { ...source, enrichment_log_result: result } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1860, 40 ], "id": "70671662-d9f6-009c-9428-e6f6e616b241", "name": "Prepare Enrichment Log (placeholder)", "notes": "Prepares durable logging payload for enrichment and scoring results." }, { "parameters": { "mode": "combine", "combinationMode": "mergeByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 2, "position": [ 2100, -260 ], "id": "ab79d1ac-8a7d-7ae9-1858-8616bf6c0fa0", "name": "Merge CRM + Notification" }, { "parameters": { "mode": "combine", "combinationMode": "mergeByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 2, "position": [ 2340, -160 ], "id": "4a639211-b1b4-8bc8-bce4-e73b6533620b", "name": "Merge Actions + Log" }, { "parameters": { "jsCode": "const source = items[0]?.json ?? {};\nconst actionResults = {\n crm_upsert: source.crm_upsert_result,\n sales_notification: source.sales_notification_result,\n enrichment_log: source.enrichment_log_result,\n};\nconst failedActions = Object.entries(actionResults).filter(([, result]) => result?.status === 'failed').map(([key]) => key);\nconst preparedActions = Object.entries(actionResults).filter(([, result]) => result?.status === 'prepared').map(([key]) => key);\nconst overall_status = failedActions.length ? (preparedActions.length ? 'partial_success' : 'failed') : 'success';\n\nconst output = {\n ...source.scored_lead,\n llm_summary: source.llm_summary,\n qualification_mode: source.qualification_mode,\n source_warnings: source.source_warnings,\n operations_alerts: source.operations_alerts,\n action_results: actionResults,\n overall_status,\n};\n\nconst audit_record = {\n audit_type: 'sales_pipeline_enrichment_result',\n logged_at: new Date().toISOString(),\n run_id: source.control.run_id,\n lead_email: source.lead.email,\n company: source.lead.company,\n score: source.scored_lead.score,\n segment: source.scored_lead.segment,\n route: source.scored_lead.route,\n score_reasons: source.scored_lead.score_reasons,\n source_results: source.source_results,\n source_warnings: source.source_warnings,\n operations_alerts: source.operations_alerts,\n action_results: actionResults,\n idempotency_keys: source.control.idempotency_keys,\n llm_policy: source.config.llm_policy,\n qualification_mode: source.qualification_mode,\n};\n\nreturn [{ json: { ...source, enriched_scored_lead: output, audit_record, overall_status } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2580, -160 ], "id": "cfe61bc7-239d-0273-1f6a-1102c277b9ac", "name": "Build Final Enriched Lead", "notes": "Builds the final enriched/scored lead object and audit record for durable storage." } ], "connections": { "Manual Trigger (dev)": { "main": [ [ { "node": "Set Example Lead Input", "type": "main", "index": 0 } ] ] }, "Lead Webhook (prod placeholder)": { "main": [ [ { "node": "Validate Lead / Control Config", "type": "main", "index": 0 } ] ] }, "Set Example Lead Input": { "main": [ [ { "node": "Validate Lead / Control Config", "type": "main", "index": 0 } ] ] }, "Validate Lead / Control Config": { "main": [ [ { "node": "Enrich Company Data", "type": "main", "index": 0 }, { "node": "Enrich Tech Stack", "type": "main", "index": 0 }, { "node": "Enrich Intent Signals", "type": "main", "index": 0 }, { "node": "Lookup CRM History", "type": "main", "index": 0 } ] ] }, "Enrich Company Data": { "main": [ [ { "node": "Merge Company + Tech", "type": "main", "index": 0 } ] ] }, "Enrich Tech Stack": { "main": [ [ { "node": "Merge Company + Tech", "type": "main", "index": 1 } ] ] }, "Enrich Intent Signals": { "main": [ [ { "node": "Merge Intent + CRM", "type": "main", "index": 0 } ] ] }, "Lookup CRM History": { "main": [ [ { "node": "Merge Intent + CRM", "type": "main", "index": 1 } ] ] }, "Merge Company + Tech": { "main": [ [ { "node": "Merge All Enrichment", "type": "main", "index": 0 } ] ] }, "Merge Intent + CRM": { "main": [ [ { "node": "Merge All Enrichment", "type": "main", "index": 1 } ] ] }, "Merge All Enrichment": { "main": [ [ { "node": "Aggregate Enrichment Results", "type": "main", "index": 0 } ] ] }, "Aggregate Enrichment Results": { "main": [ [ { "node": "Prepare Source Failure Alerts", "type": "main", "index": 0 } ] ] }, "Prepare Source Failure Alerts": { "main": [ [ { "node": "Score and Route Lead", "type": "main", "index": 0 } ] ] }, "Score and Route Lead": { "main": [ [ { "node": "Prepare Optional LLM Qualification Prompt", "type": "main", "index": 0 } ] ] }, "Prepare Optional LLM Qualification Prompt": { "main": [ [ { "node": "Call Local LLM Qualification", "type": "main", "index": 0 } ] ] }, "Call Local LLM Qualification": { "main": [ [ { "node": "Extract Qualification Summary", "type": "main", "index": 0 } ], [ { "node": "Build Deterministic Qualification Fallback", "type": "main", "index": 0 } ] ] }, "Extract Qualification Summary": { "main": [ [ { "node": "Merge Qualification Paths", "type": "main", "index": 0 } ], [ { "node": "Build Deterministic Qualification Fallback", "type": "main", "index": 0 } ] ] }, "Build Deterministic Qualification Fallback": { "main": [ [ { "node": "Merge Qualification Paths", "type": "main", "index": 1 } ] ] }, "Merge Qualification Paths": { "main": [ [ { "node": "Prepare CRM Upsert (placeholder)", "type": "main", "index": 0 }, { "node": "Prepare Sales Notification (placeholder)", "type": "main", "index": 0 }, { "node": "Prepare Enrichment Log (placeholder)", "type": "main", "index": 0 } ] ] }, "Prepare CRM Upsert (placeholder)": { "main": [ [ { "node": "Merge CRM + Notification", "type": "main", "index": 0 } ] ] }, "Prepare Sales Notification (placeholder)": { "main": [ [ { "node": "Merge CRM + Notification", "type": "main", "index": 1 } ] ] }, "Prepare Enrichment Log (placeholder)": { "main": [ [ { "node": "Merge Actions + Log", "type": "main", "index": 1 } ] ] }, "Merge CRM + Notification": { "main": [ [ { "node": "Merge Actions + Log", "type": "main", "index": 0 } ] ] }, "Merge Actions + Log": { "main": [ [ { "node": "Build Final Enriched Lead", "type": "main", "index": 0 } ] ] }, "Build Final Enriched Lead": {} }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "sales-pipeline-enrichment-v1", "id": "SalesPipelineEnrichment001", "tags": [] }