HR-focused automation pipeline with AI
Workflow JSON
{"id": "t1P14FvfibKYCh3E", "meta": {"instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462", "templateCredsSetupCompleted": true}, "name": "HR-focused automation pipeline with AI", "tags": [], "nodes": [{"id": "b1092f93-502c-4af0-962e-2b69311b92a3", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "position": [-520, -200], "webhookId": "2a87705d-8ba1-41f1-80ef-85f364ce253e", "parameters": {"options": {}, "formTitle": "Send CV", "formFields": {"values": [{"fieldLabel": "Name", "placeholder": "Name", "requiredField": true}, {"fieldType": "email", "fieldLabel": "Email", "placeholder": "Email", "requiredField": true}, {"fieldType": "file", "fieldLabel": "CV", "requiredField": true, "acceptFileTypes": ".pdf"}]}}, "typeVersion": 2.2}, {"id": "77edfe2a-4c6a-48c8-8dc9-b275491be090", "name": "Extract from File", "type": "n8n-nodes-base.extractFromFile", "position": [-160, -200], "parameters": {"options": {}, "operation": "pdf", "binaryPropertyName": "CV"}, "typeVersion": 1}, {"id": "ebf2e194-3515-4c0a-8745-790b63bf336f", "name": "Qualifications", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [160, -100], "parameters": {"text": "={{ $json.text }}", "options": {"systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."}, "attributes": {"attributes": [{"name": "Educational qualification", "required": true, "description": "Summary of your academic career. Focus on your high school and university studies. Summarize in 100 words maximum and also include your grade if applicable."}, {"name": "Job History", "required": true, "description": "Work history summary. Focus on your most recent work experiences. Summarize in 100 words maximum"}, {"name": "Skills", "required": true, "description": "Extract the candidate\u2019s technical skills. What software and frameworks they are proficient in. Make a bulleted list."}]}}, "typeVersion": 1}, {"id": "4f40404c-1d47-4bde-9b4b-16367cf11e4f", "name": "Summarization Chain", "type": "@n8n/n8n-nodes-langchain.chainSummarization", "position": [900, -220], "parameters": {"options": {"summarizationMethodAndPrompts": {"values": {"prompt": "=Write a concise summary of the following:\n\nCity: {{ $json.output.city }}\nBirthdate: {{ $json.output.birthdate }}\nEducational qualification: {{ $json.output[\"Educational qualification\"] }}\nJob History: {{ $json.output[\"Job History\"] }}\nSkills: {{ $json.output.Skills }}\n\nUse 100 words or less. Be concise and conversational.", "combineMapPrompt": "=Write a concise summary of the following:\n\nCity: {{ $json.output.city }}\nBirthdate: {{ $json.output.birthdate }}\nEducational qualification: {{ $json.output[\"Educational qualification\"] }}\nJob History: {{ $json.output[\"Job History\"] }}\nSkills: {{ $json.output.Skills }}\n\nUse 100 words or less. Be concise and conversational."}}}}, "typeVersion": 2}, {"id": "9f9c5f16-1dc2-4928-aef8-284daeb6be51", "name": "Merge", "type": "n8n-nodes-base.merge", "position": [660, -220], "parameters": {"mode": "combine", "options": {}, "combineBy": "combineAll"}, "typeVersion": 3}, {"id": "51bd14cc-2c54-4f72-b162-255f7e277aff", "name": "Profile Wanted", "type": "n8n-nodes-base.set", "position": [1300, -220], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "a3d049b0-5a70-4e7b-a6f2-81447da5282a", "name": "profile_wanted", "type": "string", "value": "We are a web agency and we are looking for a full-stack web developer who knows how to use PHP, Python and Javascript. He has experience in the sector and lives in Northern Italy."}]}}, "typeVersion": 3.4}, {"id": "4a120e5d-b849-4a29-b7f3-12c653552367", "name": "Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [1960, -220], "parameters": {"columns": {"value": {"CITY": "={{ $('Merge').item.json.output.city }}", "DATA": "={{ $now.format('dd/LL/yyyy') }}", "NAME": "={{ $('On form submission').item.json.Nome }}", "VOTE": "={{ $json.output.vote }}", "EMAIL": "={{ $('On form submission').item.json.Email }}", "SKILLS": "={{ $('Merge').item.json.output.Skills }}", "TELEFONO": "={{ $('Merge').item.json.output.telephone }}", "SUMMARIZE": "={{ $('Summarization Chain').item.json.response.text }}", "EDUCATIONAL": "={{ $('Merge').item.json.output[\"Educational qualification\"] }}", "JOB HISTORY": "={{ $('Merge').item.json.output[\"Job History\"] }}", "DATA NASCITA": "={{ $('Merge').item.json.output.birthdate }}", "CONSIDERATION": "={{ $json.output.consideration }}"}, "schema": [{"id": "DATA", "type": "string", "display": true, "required": false, "displayName": "DATA", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "NAME", "type": "string", "display": true, "required": false, "displayName": "NAME", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "PHONE", "type": "string", "display": true, "removed": false, "required": false, "displayName": "PHONE", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "CITY", "type": "string", "display": true, "required": false, "displayName": "CITY", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "EMAIL", "type": "string", "display": true, "required": false, "displayName": "EMAIL", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "DATA NASCITA", "type": "string", "display": true, "required": false, "displayName": "DATA NASCITA", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "EDUCATIONAL", "type": "string", "display": true, "required": false, "displayName": "EDUCATIONAL", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "JOB HISTORY", "type": "string", "display": true, "required": false, "displayName": "JOB HISTORY", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "SKILLS", "type": "string", "display": true, "required": false, "displayName": "SKILLS", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "SUMMARIZE", "type": "string", "display": true, "required": false, "displayName": "SUMMARIZE", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "VOTE", "type": "string", "display": true, "removed": false, "required": false, "displayName": "VOTE", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "CONSIDERATION", "type": "string", "display": true, "required": false, "displayName": "CONSIDERATION", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}, "options": {}, "operation": "append", "sheetName": {"__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE/edit#gid=0", "cachedResultName": "Foglio1"}, "documentId": {"__rl": true, "mode": "list", "value": "1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE/edit?usp=drivesdk", "cachedResultName": "Ricerca WebDev"}}, "credentials": {"googleSheetsOAuth2Api": {"id": "", "name": "[Your googleSheetsOAuth2Api]"}}, "typeVersion": 4.5}, {"id": "a154d8a5-9f85-45bb-b082-f702c13c3507", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [1720, -20], "parameters": {"schemaType": "manual", "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"vote\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"consideration\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"}, "typeVersion": 1.2}, {"id": "037ac851-7885-4b78-ac75-dfa0ebb6003d", "name": "HR Expert", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [1560, -220], "parameters": {"text": "=Profilo ricercato:\n{{ $json.profile_wanted }}\n\nCandidato:\n{{ $('Summarization Chain').item.json.response.text }}", "messages": {"messageValues": [{"message": "Sei un esperto HR e devi capire se il candidato \u00e8 in linea con il profilo ricercato dall'azienda.\n\nDevi dare un voto da 1 a 10 dove 1 significa che il candidato non \u00e8 in linea con quanto richiesto mentre 10 significa che \u00e8 il candidato ideale perch\u00e8 rispecchia in toto il profilo cercato.\n\nInoltre nel campo \"consideration\" motiva il perch\u00e8 hai dato quel voto. "}]}, "promptType": "define", "hasOutputParser": true}, "typeVersion": 1.5}, {"id": "ed5744c4-df06-4a01-a103-af4dd470d482", "name": "Personal Data", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [160, -280], "parameters": {"text": "={{ $json.text }}", "options": {"systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."}, "schemaType": "manual", "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"telephone\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n \"city\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n \"birthdate\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"}, "typeVersion": 1}, {"id": "181c1249-b05c-4c35-8cac-5f9738cc1fe6", "name": "Upload CV", "type": "n8n-nodes-base.googleDrive", "position": [-160, -380], "parameters": {"name": "=CV-{{ $now.format('yyyyLLdd') }}-{{ $json.CV[0].filename }}", "driveId": {"__rl": true, "mode": "list", "value": "My Drive"}, "options": {}, "folderId": {"__rl": true, "mode": "list", "value": "1tzeSpx4D3EAGXa3Wg-gqGbdaUk6LIZTV", "cachedResultUrl": "https://drive.google.com/drive/folders/1tzeSpx4D3EAGXa3Wg-gqGbdaUk6LIZTV", "cachedResultName": "CV"}, "inputDataFieldName": "CV"}, "credentials": {"googleDriveOAuth2Api": {"id": "", "name": "[Your googleDriveOAuth2Api]"}}, "typeVersion": 3}, {"id": "d31ee1c4-e4be-41d9-8f36-e6fb797ced8e", "name": "OpenAI", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [920, 240], "parameters": {"model": {"__rl": true, "mode": "list", "value": "gpt-4o-mini"}, "options": {}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1.2}, {"id": "0290cb72-a581-4aff-8b5d-1aa63e0a630f", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-560, -680], "parameters": {"color": 3, "width": 540, "content": "## HR Expert \nThis workflow automates the process of handling job applications by extracting relevant information from submitted CVs, analyzing the candidate's qualifications against a predefined profile, and storing the results in a Google Sheet"}, "typeVersion": 1}, {"id": "361084ff-9735-4a56-8988-be573391838b", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [-240, -460], "parameters": {"width": 300, "height": 420, "content": "The CV is uploaded to Google Drive and converted so that it can be processed\n"}, "typeVersion": 1}, {"id": "4b6f004f-c77b-4522-99d4-737a68f6cfac", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [120, -380], "parameters": {"width": 360, "height": 440, "content": "The essential information for evaluating the candidate is collected in two different chains"}, "typeVersion": 1}, {"id": "73e11af9-65e3-4fcd-bb99-8a3f212ce9fb", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [860, -300], "parameters": {"width": 320, "height": 240, "content": "Summary of relevant information useful for classifying the candidate"}, "typeVersion": 1}, {"id": "606711d1-8e6d-44b3-91ac-c047d8a4054f", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [1240, -300], "parameters": {"width": 220, "height": 240, "content": "Characteristics of the profile sought by the company that intends to hire the candidate"}, "typeVersion": 1}, {"id": "89c3210c-c599-41dc-97a3-bf8df2beb751", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [1500, -300], "parameters": {"width": 360, "height": 240, "content": "Candidate evaluation with vote and considerations of the HR agent relating the profile sought with the candidate's skills"}, "typeVersion": 1}], "active": false, "pinData": {}, "settings": {"executionOrder": "v1"}, "versionId": "594728c0-b842-404d-8810-c6f7f3f4631d", "connections": {"Merge": {"main": [[{"node": "Summarization Chain", "type": "main", "index": 0}]]}, "OpenAI": {"ai_languageModel": [[{"node": "Qualifications", "type": "ai_languageModel", "index": 0}, {"node": "Summarization Chain", "type": "ai_languageModel", "index": 0}, {"node": "HR Expert", "type": "ai_languageModel", "index": 0}, {"node": "Personal Data", "type": "ai_languageModel", "index": 0}]]}, "HR Expert": {"main": [[{"node": "Google Sheets", "type": "main", "index": 0}]]}, "Upload CV": {"main": [[]]}, "Personal Data": {"main": [[{"node": "Merge", "type": "main", "index": 0}]]}, "Profile Wanted": {"main": [[{"node": "HR Expert", "type": "main", "index": 0}]]}, "Qualifications": {"main": [[{"node": "Merge", "type": "main", "index": 1}]]}, "Extract from File": {"main": [[{"node": "Qualifications", "type": "main", "index": 0}, {"node": "Personal Data", "type": "main", "index": 0}]]}, "On form submission": {"main": [[{"node": "Extract from File", "type": "main", "index": 0}, {"node": "Upload CV", "type": "main", "index": 0}]]}, "Summarization Chain": {"main": [[{"node": "Profile Wanted", "type": "main", "index": 0}]]}, "Structured Output Parser": {"ai_outputParser": [[{"node": "HR Expert", "type": "ai_outputParser", "index": 0}]]}}}How to Import This Workflow
- 1Copy the workflow JSON above using the Copy Workflow JSON button.
- 2Open your n8n instance and go to Workflows.
- 3Click Import from JSON and paste the copied workflow.
Don't have an n8n instance? Start your free trial at n8nautomation.cloud
Related Templates
Text to Speech (OpenAI)
Converts text into natural-sounding speech using OpenAI's Text-to-Speech API. It sends your input text to OpenAI and receives an audio file in return. This is useful for creating audio versions of articles, generating voiceovers for videos, or providing accessibility features for web content. Quickly transform written content into engaging audio.
Automate Customer Support Issue Resolution using AI Text Classifier
Automate the resolution of customer support issues by classifying their state and applying AI-driven actions. This workflow connects Jira for issue management, OpenAI for AI classification and response generation, and Slack for notifications. Support teams can use this to automatically close resolved tickets, remind customers about open issues, or escalate complex cases.
AI-Powered Candidate Shortlisting Automation for ERPNext
Automate AI-powered candidate shortlisting for ERPNext job applications. This workflow connects ERPNext, Google Gemini, WhatsApp, and Outlook to process resumes, evaluate candidates, and communicate outcomes. Recruiters and HR departments can use this to efficiently screen applicants, automatically reject unqualified candidates, and send acceptance notifications. It significantly reduces manual review time and streamlines the hiring process.