Enrutador de comentarios de Nicereply directamente a MS Teams para su equipo
Este es unTicket Management, AI Summarizationflujo de automatización del dominio deautomatización que contiene 21 nodos.Utiliza principalmente nodos como If, Set, Code, Filter, Switch. Enrutamiento automatizado de comentarios de Nicereply a MS Teams por equipo y sentimiento
- •Pueden requerirse credenciales de autenticación para la API de destino
Nodos utilizados (21)
Categoría
{
"id": "sdscHTBWVasg6N7Q",
"meta": {
"instanceId": "aab1c22def123456abcdef123456abcdef",
"templateCredsSetupCompleted": true
},
"name": "Nicereply Feedback Router to MS Teams directly to your team",
"tags": [],
"nodes": [
{
"id": "23e23c40-e27e-49ac-b585-45d3b4ba3186",
"name": "Disparador programado",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-2176,
-112
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtMinute": 1
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d3798055-beaa-444c-8604-f3475507234d",
"name": "Filtro",
"type": "n8n-nodes-base.filter",
"position": [
-1216,
-112
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "2048c105-4569-4041-bbcd-50d7a5765b61",
"operator": {
"type": "dateTime",
"operation": "after"
},
"leftValue": "={{ $json['Survey Date'] }}",
"rightValue": "={{$now.minus({hours: 24})}}"
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "c02fbd26-2d0c-455c-8fe2-caa1f37f9b05",
"name": "Enviar a Soporte",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1056,
-624
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"teamId": {
"__rl": true,
"mode": "list",
"value": "YOUR_TEAM_ID",
"cachedResultName": "Your Team"
},
"message": "=We’ve received feedback for <b>Support</b>!</br>\n{{ $json.Respondent }} thinks our service was <b>{{ $json.Happiness }}</b>",
"options": {},
"resource": "channelMessage",
"channelId": {
"__rl": true,
"mode": "list",
"value": "YOUR_CHANNEL_ID",
"cachedResultUrl": "https://teams.microsoft.com/l/channel/YOUR_CHANNEL_ADDRESS",
"cachedResultName": "Client Feedback"
},
"contentType": "html"
},
"typeVersion": 2
},
{
"id": "66371a7a-15cc-4107-95d8-0661056dc3bf",
"name": "Dividir",
"type": "n8n-nodes-base.splitOut",
"position": [
-1792,
-112
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "9afc1693-b9f0-4784-bc67-7f87d7ed1127",
"name": "Enviar a Soporte1",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1072,
-112
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"teamId": {
"__rl": true,
"mode": "list",
"value": "YOUR_CHANNEL_ID",
"cachedResultName": "Your Team"
},
"message": "=We’ve received feedback for <b>Support</b>!</br>\n{{ $json.Respondent }} thinks our service was <b>{{ $json.Happiness }}</b> and says \"{{ $json['Long Answer'] }}\" ",
"options": {},
"resource": "channelMessage",
"channelId": {
"__rl": true,
"mode": "list",
"value": "YOUR_CHANNEL_ID",
"cachedResultUrl": "https://teams.microsoft.com/l/channel/YOUR_CHANNEL_ADDRESS",
"cachedResultName": "Client Feedback"
}
},
"typeVersion": 2
},
{
"id": "859383d7-7458-43cb-854b-116348239c2c",
"name": "Obtener comentarios",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2000,
-112
],
"parameters": {
"url": "https://api.nicereply.com/responses",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpBasicAuth"
},
"typeVersion": 4.2
},
{
"id": "d4b25cb3-ac4f-49be-8540-f7150d9f00fc",
"name": "Editar comentarios",
"type": "n8n-nodes-base.set",
"position": [
-1600,
-112
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "81f496f5-04c4-479d-a336-2cb0e2fe96c7",
"name": "Respondent",
"type": "string",
"value": "={{ $json.from }}"
},
{
"id": "c9816a04-14a9-4ea5-bae2-9db002943df3",
"name": "Ticket Number",
"type": "string",
"value": "={{ $json.ticket_id }}"
},
{
"id": "0b22d469-1114-445e-8131-6f0ec5eb59e0",
"name": "Survey Date",
"type": "string",
"value": "={{ $json.created_at }}"
},
{
"id": "1a6d8be1-d3a1-40da-b159-83087e2742ca",
"name": "Happiness",
"type": "number",
"value": "={{ $json.answers[0].scale.value }}"
},
{
"id": "2c1db29d-971a-4d78-a6d8-50146b6818ae",
"name": "Long Answer",
"type": "string",
"value": "={{ $json.answers[1].open_ended.value }}"
},
{
"id": "c39b0590-5694-46b3-a091-b287c2ff603a",
"name": "SurveyID",
"type": "string",
"value": "={{ $json.survey_id }}"
},
{
"id": "6af43297-76b0-403e-a9c0-872e6d98425b",
"name": "AgentID",
"type": "string",
"value": "={{ $json.feedback_object_id }}"
},
{
"id": "78234859-3d8e-4aeb-aeb1-d2b76c074bde",
"name": "Agent Name",
"type": "string",
"value": ""
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5d965b3b-56d0-4ede-a9d3-92f46eb1e4a8",
"name": "Nota adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
128,
-160
],
"parameters": {
"width": 1380,
"height": 440,
"content": "## Sending feedback with comment\n"
},
"typeVersion": 1
},
{
"id": "ca7f03ba-d4dc-4e85-be0b-307a193d9435",
"name": "Nota adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
128,
-736
],
"parameters": {
"width": 1380,
"height": 548,
"content": "## Sending feedback without comment\n"
},
"typeVersion": 1
},
{
"id": "5d3aa8b4-1738-407d-ac6b-90960a58602b",
"name": "Sin comentario",
"type": "n8n-nodes-base.if",
"position": [
-560,
-112
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c74f8d6b-5c7f-4068-89a9-91095619448f",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $('Change survey ID according Nicereply').item.json['Long Answer'] }}",
"rightValue": ""
},
{
"id": "f3d8e054-fcea-4df5-bcf4-420c16706b44",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "126b4388-cda4-477c-8d79-3434cec3abcc",
"name": "Valor de satisfacción",
"type": "n8n-nodes-base.switch",
"position": [
448,
-416
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Great!",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4e31a572-8a68-4138-8e4a-a679e95f0128",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "OK",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9ad6714e-f826-4179-9107-235e2c10bb84",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Bad",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "10bb8ec7-15b9-415e-9814-4b7d9e65d113",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "2621467d-ddc6-4cb6-8c1b-724fc47239cc",
"name": "Switch - Tipo de equipo",
"type": "n8n-nodes-base.switch",
"position": [
176,
-384
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Team A",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "afd403f7-326f-4b3e-99c0-0d20c23ccae0",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team B",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f1db99e8-c9ab-4918-b7b7-fd8339ead484",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team C",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "61774ada-3d49-466b-8368-0fe3fc925fc0",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "3f2daf3b-48b5-48e5-b030-9b84182bd66f",
"name": "Switch - Tipo de equipo1",
"type": "n8n-nodes-base.switch",
"position": [
192,
16
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Team A",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "afd403f7-326f-4b3e-99c0-0d20c23ccae0",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team B",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f1db99e8-c9ab-4918-b7b7-fd8339ead484",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team C",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "61774ada-3d49-466b-8368-0fe3fc925fc0",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "aaaaec91-21cf-423e-b929-d89bea4a8c80",
"name": "Valor de satisfacción2",
"type": "n8n-nodes-base.switch",
"position": [
432,
-16
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Great!",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4e31a572-8a68-4138-8e4a-a679e95f0128",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "OK",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9ad6714e-f826-4179-9107-235e2c10bb84",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Bad",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "10bb8ec7-15b9-415e-9814-4b7d9e65d113",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "ba021d5d-cc8a-4ae2-8dd1-12a41786286c",
"name": "Enviar a líder de equipo",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1072,
112
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"chatId": {
"__rl": true,
"mode": "id",
"value": "19:5e361485-4200-4d4b-9b35-015bfc82fa91_e2fbc338-609e-43bc-a98a-6db1b2086a27@unq.gbl.spaces"
},
"message": "=We’ve received feedback for <b>Support</b>!</br>\n{{ $json.Respondent }} thinks our service was <b>{{ $json.Happiness }}</b> and says \"{{ $json['Long Answer'] }}\" ",
"options": {},
"resource": "chatMessage"
},
"typeVersion": 2
},
{
"id": "e921ba32-6a36-46e6-b4ee-943d6bf3e278",
"name": "Enviar a líder de equipo1",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1072,
-400
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"chatId": {
"__rl": true,
"mode": "id",
"value": "19:5e361485-4200-4d4b-9b35-015bfc82fa91_e2fbc338-609e-43bc-a98a-6db1b2086a27@unq.gbl.spaces"
},
"message": "=We’ve got some feedback!\n{{ $json.Respondent }} thinks we are <b>{{ $json.Happiness }}</b> ",
"options": {},
"resource": "chatMessage"
},
"typeVersion": 2
},
{
"id": "79831865-3c1b-4791-bc9f-c243797a6fbd",
"name": "Nota adhesiva2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-3008,
-752
],
"parameters": {
"width": 720,
"height": 1392,
"content": "## Nicereply Feedback Router to MS Teams directly to your Team \n**Try out using a native Easy Redmine node to automatically process and route feedback based on comments and team structure.**\n\n### About Workflow \nThis workflow helps organizations efficiently manage client feedback collected via Nicereply. By automating the routing of feedback to the correct internal teams based on sentiment and the presence of comments, the workflow ensures that the right people see the right feedback at the right time—without any manual sorting.\n\n### Use Case \nIdeal for companies receiving regular customer satisfaction feedback and looking to distribute it instantly to responsible teams. Whether feedback contains a comment or not, it is evaluated and routed to MS Teams channels based on team type (e.g., Support, Docs, Consulting). Customers can customize this setup for as many teams as needed, allowing flexible scaling across departments.\n\n### How it works \n- Schedule Trigger \n=> Runs automatically at defined intervals (e.g., daily) to initiate feedback collection \n- Query/filter logic \n=> Retrieves survey results from Nicereply using a saved Survey ID \n- AI Transformations\n=> Splits the feedback into individual entries \n**Change survey ID according to NiceReply** — Updates survey IDs based on specific mapping rules. \n ➡️ *This step will later include an AI Transform that remaps raw SurveyID values from Nicereply to readable survey names.* \n **Example instructions:** \n Change values of SurveyID \n exampleID:abcd-123-abcd-123 → Documentation \n **Example input/output:** \n - Input: `\"SurveyID\": \"362ea713-8867-47fe-bcbf-7394b7ce419a\"` \n - Output: `\"SurveyID\": \"Documentation\"` \n=> Edits entries and assigns survey IDs using internal mapping logic \n=> Adjusts the happiness value based on sentiment analysis \n**Change happiness value** — Adjusts sentiment or happiness score. \n ➡️ *This step will include an AI Transform that converts numeric satisfaction ratings (1–3) into descriptive text values for clearer internal communication.* \n **Example instructions:** \n Change Happiness value to \"great\" if 3, \"okay\" if 2, \"bad\" if 1 \n **Example input/output:** \n - Input: `\"Happiness\": 1` → Output: `\"Happiness\": \"bad\"\n- Final output step \n=> Routes feedback to the appropriate MS Teams channels using conditional logic. \n\n### How to use \n- In Nicereply, locate your Survey ID and enter it into the workflow’s mapping step \n- Customize the team types, sentiment thresholds, and MS Teams channel names to match your org’s structure \n- Duplicate or expand the logic branches if you want to add more departments (Team A, Team B, Team C etc.) and modify message formats \n- Test with a limited dataset before full deployment\n\n### Requirements \n- MS Teams access \n → Required for sending messages to designated team channels. \n- API permissions \n → Necessary for connecting to Nicereply and posting messages via Teams APIs.\n\n### Need Help? \n- Reach out through n8n community => https://community.n8n.io/u/easy8.ai\n- Contant our team directly => Easy8.ai\n- Visit our youtube channel => https://www.youtube.com/@easy8ai \n"
},
"typeVersion": 1
},
{
"id": "ae4fa0af-348e-401d-a928-2e6a50ad92eb",
"name": "Nota adhesiva3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2256,
-752
],
"parameters": {
"color": 7,
"width": 2336,
"height": 1040,
"content": "## Daily Feedback Processing Workflow \n\n1. **Schedule Trigger** — Starts the workflow on a scheduled basis \n2. **Get Feedbacks** — Retrieves feedback data from NiceReply source \n3. **Split Out** — Separates the feedback data into individual entries \n4. **Edit Feedbacks** — Modifies feedback entries as needed \n5. **Change survey ID according to NiceReply** — Updates survey IDs based on specific mapping rules. \n6. **Filter** — Filters last 24 hours feedback entries for processing \n7. **Set Empty Respondent to \"Unknown Client\"** Code node — if respondent = null, set respondent value to Unknown client \n8. **Change happiness value** — Adjusts sentiment or happiness score. \n9. **Without Comment** — Determines if the feedback has a comment or not \n10. **Switch – Type of Team (Without Comment)** — Routes feedback without comments by team type \n11. **Happiness Value1 (Without Comment)** — Branches further by happiness score \n12. **Send to Support / Team Lead / Management / Docs / Consulting (Without Comment)** — Sends messages to MS Teams channels based on type and value \n13. **Switch – Type of Team (With Comment)** — Routes feedback with comments by team type \n14. **Happiness Value2 & Happiness Value3 (With Comment)** — Branches further by happiness score \n15. **Send to Support / Team Lead / Management / Docs / Consulting (With Comment)** — Sends messages to MS Teams channels based on type and value \n\n---\n\n💡 *All AI Transform steps (5, 7, and 8) include example instructions, input/output samples, and explanation of their intended purpose to simplify configuration during workflow setup.*\n\n"
},
"typeVersion": 1
},
{
"id": "2cb55117-1c45-4377-ac8b-98607d2e0485",
"name": "Cambiar ID de encuesta según Nicereply",
"type": "n8n-nodes-base.aiTransform",
"position": [
-1408,
-112
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cfa2795b-9744-4326-9d16-5e5b01d2645d",
"name": "Cambiar valor de satisfacción",
"type": "n8n-nodes-base.aiTransform",
"position": [
-800,
-112
],
"parameters": {},
"typeVersion": 1
},
{
"id": "543260e1-f905-4714-bfb7-0e42af4f1d58",
"name": "Establecer encuestado vacío como \"Cliente desconocido\"",
"type": "n8n-nodes-base.code",
"position": [
-1008,
-112
],
"parameters": {
"jsCode": "const items = $input.all();\nconst updatedItems = items.map((item) => {\n if (item?.json?.Respondent === null) {\n item.json.Respondent = \"Unknown Client\";\n }\n return item;\n});\nreturn updatedItems;"
},
"typeVersion": 2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "5032f855-653f-4cf0-98d3-dd25647fb843",
"connections": {
"d3798055-beaa-444c-8604-f3475507234d": {
"main": [
[
{
"node": "543260e1-f905-4714-bfb7-0e42af4f1d58",
"type": "main",
"index": 0
}
]
]
},
"66371a7a-15cc-4107-95d8-0661056dc3bf": {
"main": [
[
{
"node": "d4b25cb3-ac4f-49be-8540-f7150d9f00fc",
"type": "main",
"index": 0
}
]
]
},
"859383d7-7458-43cb-854b-116348239c2c": {
"main": [
[
{
"node": "66371a7a-15cc-4107-95d8-0661056dc3bf",
"type": "main",
"index": 0
}
]
]
},
"d4b25cb3-ac4f-49be-8540-f7150d9f00fc": {
"main": [
[
{
"node": "2cb55117-1c45-4377-ac8b-98607d2e0485",
"type": "main",
"index": 0
}
]
]
},
"126b4388-cda4-477c-8d79-3434cec3abcc": {
"main": [
[
{
"node": "c02fbd26-2d0c-455c-8fe2-caa1f37f9b05",
"type": "main",
"index": 0
}
],
[
{
"node": "e921ba32-6a36-46e6-b4ee-943d6bf3e278",
"type": "main",
"index": 0
}
],
[
{
"node": "e921ba32-6a36-46e6-b4ee-943d6bf3e278",
"type": "main",
"index": 0
}
]
]
},
"5d3aa8b4-1738-407d-ac6b-90960a58602b": {
"main": [
[
{
"node": "2621467d-ddc6-4cb6-8c1b-724fc47239cc",
"type": "main",
"index": 0
}
],
[
{
"node": "3f2daf3b-48b5-48e5-b030-9b84182bd66f",
"type": "main",
"index": 0
}
]
]
},
"aaaaec91-21cf-423e-b929-d89bea4a8c80": {
"main": [
[
{
"node": "9afc1693-b9f0-4784-bc67-7f87d7ed1127",
"type": "main",
"index": 0
}
],
[
{
"node": "ba021d5d-cc8a-4ae2-8dd1-12a41786286c",
"type": "main",
"index": 0
}
],
[
{
"node": "ba021d5d-cc8a-4ae2-8dd1-12a41786286c",
"type": "main",
"index": 0
}
]
]
},
"23e23c40-e27e-49ac-b585-45d3b4ba3186": {
"main": [
[
{
"node": "859383d7-7458-43cb-854b-116348239c2c",
"type": "main",
"index": 0
}
]
]
},
"2621467d-ddc6-4cb6-8c1b-724fc47239cc": {
"main": [
[
{
"node": "126b4388-cda4-477c-8d79-3434cec3abcc",
"type": "main",
"index": 0
}
]
]
},
"cfa2795b-9744-4326-9d16-5e5b01d2645d": {
"main": [
[
{
"node": "5d3aa8b4-1738-407d-ac6b-90960a58602b",
"type": "main",
"index": 0
}
]
]
},
"3f2daf3b-48b5-48e5-b030-9b84182bd66f": {
"main": [
[
{
"node": "aaaaec91-21cf-423e-b929-d89bea4a8c80",
"type": "main",
"index": 0
}
]
]
},
"2cb55117-1c45-4377-ac8b-98607d2e0485": {
"main": [
[
{
"node": "d3798055-beaa-444c-8604-f3475507234d",
"type": "main",
"index": 0
}
]
]
},
"543260e1-f905-4714-bfb7-0e42af4f1d58": {
"main": [
[
{
"node": "cfa2795b-9744-4326-9d16-5e5b01d2645d",
"type": "main",
"index": 0
}
]
]
}
}
}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Gestión de tickets, Resumen de IA
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
Flujos de trabajo relacionados recomendados
Easy8.ai
@easy8aiWe guide B2B companies to use AI agents & automations with ease. Powered by Easy Software & n8n.
Compartir este flujo de trabajo