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CallForge - 02 - Préparer les appels Gong pour un résumé IA avec Sheets et Notion

Avancé

Ceci est unSales, Product, AIworkflow d'automatisation du domainecontenant 26 nœuds.Utilise principalement des nœuds comme Set, Gong, Merge, Notion, SplitOut, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. CallForge - 02 - Préparer les appels Gong pour un résumé AI avec Sheets et Notion

Prérequis
  • •Clé API Notion
  • •Informations d'identification Google Sheets API

Nœuds utilisés (26)

Set
Gong
NoOp
Merge
Notion
SplitOut
Aggregate
StickyNote
GoogleSheets
ManualTrigger
SplitInBatches
CompareDatasets
ExecuteWorkflow
ExecuteWorkflowTrigger

Catégorie

Ventes
Produit
Intelligence Artificielle
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
React Flow
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "meta": {
    "instanceId": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "25fb4302-853a-421d-8e4f-4a18d723c4a0",
      "name": "Lors du clic sur 'Test workflow'",
      "type": "n8n-nodes-base.manualTrigger",
      "disabled": true,
      "position": [
        -860,
        380
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "acb8e29a-75b8-4ccb-aca8-20d5a7053334",
      "name": "Gong",
      "type": "n8n-nodes-base.gong",
      "disabled": true,
      "position": [
        -440,
        120
      ],
      "parameters": {
        "filters": {
          "toDateTime": "={{ $now.toISO() }}",
          "fromDateTime": "={{ $now.minus({ days: 2 }).toISO() }}"
        },
        "options": {},
        "returnAll": true,
        "requestOptions": {}
      },
      "credentials": {
        "gongApi": {
          "id": "EchfvOC4rjw8MUkr",
          "name": "Liam Gong Cred"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "930a7fc9-64a1-4966-be0d-c58132b735e5",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -700,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 1080,
        "height": 920,
        "content": "## Get Gong Calls and Supporting Data\nBesides the phone calls, integration and competitor data is extracted to supplement the AI prompt with accurate data to compare against mispronunciations. "
      },
      "typeVersion": 1
    },
    {
      "id": "f21ae8cc-eed1-4d31-8b1f-cc731e3dc642",
      "name": "Note adhésive 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        400,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 880,
        "height": 920,
        "content": "## Remove Duplicates from Queue\nChecks notion for already processed calls and removes them from the processing queue ensuring data is not duplicated. "
      },
      "typeVersion": 1
    },
    {
      "id": "d796312a-2a7f-429f-8550-d4af6d81a26d",
      "name": "Transcript Processor",
      "type": "n8n-nodes-base.executeWorkflow",
      "position": [
        2200,
        640
      ],
      "parameters": {
        "options": {},
        "workflowId": {
          "__rl": true,
          "mode": "list",
          "value": "7BAQDjnHQVYO1SWG",
          "cachedResultName": "Transcript Processor Demo"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "b381f944-d865-450e-a24d-31d394a01b36",
      "name": "Note adhésive 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1820,
        420
      ],
      "parameters": {
        "color": 7,
        "width": 700,
        "height": 440,
        "content": "## Generate Clean Transcript \nAllows for reduced prompting in the OpenAI node. "
      },
      "typeVersion": 1
    },
    {
      "id": "7a87e6a0-0009-4776-bf2e-bea68702c808",
      "name": "Note adhésive 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1820,
        -40
      ],
      "parameters": {
        "color": 7,
        "width": 700,
        "height": 440,
        "content": "## Pass Call Transcripts to Call Processor\nThe OpenAI node handles this process and outputs in structured JSON."
      },
      "typeVersion": 1
    },
    {
      "id": "4c3b5280-c5e1-49d1-9651-e3fdd45978f7",
      "name": "Note adhésive 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1300,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 500,
        "height": 920,
        "content": "## Loop through all calls to get enrichment\nAllows for easier processing due to complexity "
      },
      "typeVersion": 1
    },
    {
      "id": "ce942178-c93e-490a-9b4e-0798f8c5c742",
      "name": "Note adhésive 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1080,
        -340
      ],
      "parameters": {
        "color": 5,
        "width": 360,
        "height": 1200,
        "content": "![Callforge](https://uploads.n8n.io/templates/callforgeshadow.png)\n## CallForge - The AI Gong Sales Call Processor\nCallForge allows you to extract important information for different departments from your Sales Gong Calls. \n\n### Call PreProcessor\nThis workflow preps the calls to pass into the call processor. It also pulls data from the product in order to enrich the AI Prompt to catch typos in the Gong call transcript. It then cleans up the transcript into a single string and then sends it to the call processor."
      },
      "typeVersion": 1
    },
    {
      "id": "41f3d049-e25b-453a-bf98-501af7f177d0",
      "name": "Déclencheur d'exécution",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        -860,
        580
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "02265963-ab06-4bf5-8b0b-5299cd3330c9",
      "name": "Call Aggregator",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        -100,
        120
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "calls"
      },
      "typeVersion": 1
    },
    {
      "id": "044e1b65-059c-4084-b85a-e10e6149be34",
      "name": "Integration Aggregator",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        -240,
        380
      ],
      "parameters": {
        "options": {},
        "fieldsToAggregate": {
          "fieldToAggregate": [
            {
              "fieldToAggregate": "Google Sheets"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "31df099f-45ec-4dff-b968-a90e7eaa67b5",
      "name": "Get Integrations",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -460,
        380
      ],
      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 1859794756,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1DKrLntdoNScMey5Bb4ggSpS8NFHlYN3kuTJQbrbJU7I/edit#gid=1859794756",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1DKrLntdoNScMey5Bb4ggSpS8NFHlYN3kuTJQbrbJU7I",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1DKrLntdoNScMey5Bb4ggSpS8NFHlYN3kuTJQbrbJU7I/edit?usp=drivesdk",
          "cachedResultName": "Most Popular Node Combos"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "4ZBfVX71VUd6pRy3",
          "name": "Google Sheets Angel Access"
        }
      },
      "executeOnce": true,
      "typeVersion": 4.5
    },
    {
      "id": "42a8299e-d2e4-48a9-bba9-1c5e419d8c0c",
      "name": "Comma Separate Integrations",
      "type": "n8n-nodes-base.set",
      "position": [
        -20,
        380
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "39dfde65-e5e0-46d8-8596-af7ea31fcd3b",
              "name": "integrations",
              "type": "string",
              "value": "={{ $json[\"Google Sheets\"].join() }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4226f79a-8b28-46d7-8b3b-972ef41d9535",
      "name": "Comma separate competitors",
      "type": "n8n-nodes-base.set",
      "position": [
        -20,
        580
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "c419af9b-f161-4aac-863f-3a450aaf759f",
              "name": "competitors",
              "type": "string",
              "value": "={{ $jmespath($json.properties['Competitor vs.'].select.options, '[].name').join() }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "cce3fab9-63fb-49de-8e3f-4fb7956d0b80",
      "name": "Get list of Competitors",
      "type": "n8n-nodes-base.notion",
      "position": [
        -460,
        580
      ],
      "parameters": {
        "simple": false,
        "resource": "database",
        "databaseId": {
          "__rl": true,
          "mode": "list",
          "value": "2cb8596f-2029-4d15-bf56-7001652f6fcf",
          "cachedResultUrl": "https://www.notion.so/2cb8596f20294d15bf567001652f6fcf",
          "cachedResultName": "n8n vs."
        }
      },
      "credentials": {
        "notionApi": {
          "id": "80",
          "name": "Notion david-internal"
        }
      },
      "retryOnFail": true,
      "typeVersion": 2.2,
      "waitBetweenTries": 3000
    },
    {
      "id": "05e82483-ed91-4733-a8a7-621d8cf6f3f1",
      "name": "Fusionner 3 objects into one",
      "type": "n8n-nodes-base.merge",
      "position": [
        260,
        380
      ],
      "parameters": {
        "numberInputs": 3
      },
      "typeVersion": 3
    },
    {
      "id": "f01f839a-b0b5-4368-8cd3-3466f3cd44a4",
      "name": "Agréger Call Data",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        560,
        240
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "calldata"
      },
      "typeVersion": 1
    },
    {
      "id": "c89b9deb-7f52-4d0d-8cdf-ce1b2a1771d2",
      "name": "Split Out Call Data and Competitors",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        760,
        240
      ],
      "parameters": {
        "include": "selectedOtherFields",
        "options": {},
        "fieldToSplitOut": "calldata[0].calls",
        "fieldsToInclude": "calldata[1].integrations, , calldata[2].competitors"
      },
      "typeVersion": 1
    },
    {
      "id": "c5c90fd2-03f4-425c-9a49-b26887705c6c",
      "name": "Reduce down to 1 object",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        480,
        580
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1
    },
    {
      "id": "3835aeb8-589c-49b5-995a-2bf0bc0698a8",
      "name": "Get Previous Phone Calls",
      "type": "n8n-nodes-base.notion",
      "position": [
        700,
        580
      ],
      "parameters": {
        "options": {},
        "resource": "databasePage",
        "operation": "getAll",
        "returnAll": true,
        "databaseId": {
          "__rl": true,
          "mode": "list",
          "value": "1a85b6e0-c94f-81a3-aa21-e3ccf8296d72",
          "cachedResultUrl": "https://www.notion.so/1a85b6e0c94f81a3aa21e3ccf8296d72",
          "cachedResultName": "Sales Call Summaries Demo"
        }
      },
      "credentials": {
        "notionApi": {
          "id": "2B3YIiD4FMsF9Rjn",
          "name": "Angelbot Notion"
        }
      },
      "retryOnFail": true,
      "typeVersion": 2.2,
      "waitBetweenTries": 3000
    },
    {
      "id": "9b7d60bd-d08a-4529-aefb-c89f277fcd8f",
      "name": "Isolate Only Call IDs",
      "type": "n8n-nodes-base.set",
      "position": [
        900,
        580
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "328e6ac8-88f3-4c2f-b8e8-d4a0756efd24",
              "name": "Call ID",
              "type": "string",
              "value": "={{ $json.property_gong_call_id ? $json.property_gong_call_id : \"none\" }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "3eb7613c-2eaa-430a-9f67-5fc486b84ff0",
      "name": "Only Process New Calls",
      "type": "n8n-nodes-base.compareDatasets",
      "position": [
        1120,
        420
      ],
      "parameters": {
        "options": {},
        "resolve": "preferInput1",
        "mergeByFields": {
          "values": [
            {
              "field1": "['calldata[0].calls'].id",
              "field2": "Call ID"
            }
          ]
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "5e69b2a1-eb6a-4bb4-a126-0605f60ff95b",
      "name": "Loop Over Calls",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1500,
        400
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "6b170ccb-d492-4e7e-9aeb-13c769d36040",
      "name": "Process All Call Transcripts",
      "type": "n8n-nodes-base.executeWorkflow",
      "position": [
        2200,
        140
      ],
      "parameters": {
        "options": {},
        "workflowId": {
          "__rl": true,
          "mode": "list",
          "value": "cg4Eo7yZlhWkqHCB",
          "cachedResultName": "Call Processor Demo"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "3107c6d8-0c8c-4dad-bcbc-c897b0be45b9",
      "name": "Receive all Transcripts",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1920,
        140
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "acb8e29a-75b8-4ccb-aca8-20d5a7053334": {
      "main": [
        [
          {
            "node": "02265963-ab06-4bf5-8b0b-5299cd3330c9",
            "type": "main",
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          }
        ]
      ]
    },
    "02265963-ab06-4bf5-8b0b-5299cd3330c9": {
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            "node": "Merge 3 objects into one",
            "type": "main",
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    },
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    },
    "Aggregate Call Data": {
      "main": [
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            "type": "main",
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}
Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Ventes, Produit, Intelligence Artificielle

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

Workflows recommandés

CallForge - 04 - Flux de travail IA pour les appels de vente Gong.io
CallForge - 04 - Workflow AI pour les appels de vente Gong.io
Set
Merge
Slack
+
Set
Merge
Slack
25 NœudsAngel Menendez
Ventes
CallForge - 03 - Traitement des transcriptions Gong et enrichissement Salesforce
CallForge - 03 - Processseur de transcription Gong et amplificateur Salesforce
Set
Code
Merge
+
Set
Code
Merge
23 NœudsAngel Menendez
Ventes
CallForge - 05 - Analyse des appels Gong.io (IA Azure et synchronisation CRM)
CallForge - 05 - Analyse des appels Gong.io (Azure AI synchronisé avec CRM)
Set
Merge
Aggregate
+
Set
Merge
Aggregate
27 NœudsAngel Menendez
Ventes
CallForge - 06 - Automatisation des insights vente avec Gong.io, Notion et IA
CallForge - 06 - Insights de vente automatisés avec Gong.io, Notion et AI
If
Set
Wait
+
If
Set
Wait
37 NœudsAngel Menendez
Ventes
CallForge - 07 - Traitement des données marketing IA avec Gong et Notion
CallForge - 07 - Traitement des données marketing AI avec Gong et Notion
If
Set
Wait
+
If
Set
Wait
24 NœudsAngel Menendez
Ventes
Extracteur d'architecture d'API
Extracteur d'architecture d'API
If
Set
Code
+
If
Set
Code
88 NœudsPolina Medvedieva
Ingénierie
Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds26
Catégorie3
Types de nœuds14
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Angel Menendez

Angel Menendez

@djangelic

Angel Menendez is a Staff Developer Advocate at n8n.io, specializing in low-code tools for cybersecurity workflows. From Puerto Rico, Angel's tech journey began by helping his father translate technical books. He later started a web development business and transitioned from a career as a flight attendant to cybersecurity engineering. His workflows have saved companies significant time. Outside work, Angel enjoys time with his two sons, riding electric bikes, reading, and exploring new places.

Liens externes
Voir sur n8n.io →

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Catégories

IA Multimodale
1540
Intelligence Artificielle
1108
Création de contenu
695
Résumé IA
516
Marketing
419
Chatbot IA
251
Ingénierie
241
Étude de marché
203
Divers
193
Autres
176
Ventes
162
Opérations IT
156
Extraction de documents
147
RAG IA
146
Blocs de construction
144
Réseaux sociaux
137
Génération de leads
125
Productivité personnelle
117
DevOps
111
Ressources Humaines
101
Support
97
Nurturing de leads
87
CRM
82
Finance
81
Produit
77
Chatbot de support
76
Design
70
Gestion des tickets
67
Opérations de sécurité
57
Traitement des factures
53
Trading crypto
49
Gestion de fichiers
39
Gestion de projet
35
Wiki interne
32

Catégories: 34