AI call summary to HubSpot + follow-up task
This n8n template turns raw call transcripts into clean HubSpot call logs and a single, actionable follow-up task—automatically. Paste a transcript and the contact’s email; the workflow finds the contact, summarizes the conversation in 120–160 words, proposes the next best action, and (optionally) updates missing contact fields.
Perfect for reps and founders who want accurate CRM hygiene without the manual busywork.
How it works
-
A form trigger collects two inputs:
- Contact email
- Plain-text call transcript
-
The workflow looks up the HubSpot contact by email to pull known properties.
-
An AI agent reads the transcript (plus known fields) to:
- Extract participants, role, problem/opportunity, requirements, blockers, timeline, and metrics.
- Write a 120–160 word recap a teammate can skim.
- Generate one concrete follow-up task (title + body).
- Suggest updates for missing contact properties (city, country, job title, job function).
-
The recap is logged to HubSpot as a completed Call engagement.
-
The follow-up is created in HubSpot as a Task with subject and body.
-
(Optional) The contact record is updated using AI-suggested values if the transcript clearly mentions them.
How to use
- Connect HubSpot (OAuth2) on all HubSpot nodes.
- Connect OpenAI on the AI nodes.
- Open Form: Capture Transcript, submit the email + transcript.
- (Optional) In AI: Summarize Call & Draft Task, tweak prompt rules (word count, date normalization).
- (Optional) In Update Contact from Transcript, review the mapped fields before enabling in production.
- Activate the workflow and paste transcripts after each call.
Requirements
- HubSpot (OAuth2) for contact search, call logging, and tasks
- OpenAI for summarization and task drafting
Notes & customization ideas
- Swap the form for a Google Drive or S3 watcher to ingest saved transcripts.
- Add a speech-to-text step if you store audio recordings.
- Extend Update Contact to include additional fields (timezone, department, seniority).
- Post the summary to Slack or email the AE for quick handoffs.
- Gate updates with a confidence check, or route low-confidence changes for manual approval.
AI Call Summary to HubSpot Follow-up Task
This n8n workflow automates the process of summarizing AI-generated call transcripts and creating follow-up tasks in HubSpot. It streamlines the post-call process, ensuring that key information is extracted and actionable tasks are generated automatically.
What it does
This workflow is triggered by an external form submission, likely containing a call transcript or summary. It then leverages AI to process this information and, based on the AI's output, creates a follow-up task in HubSpot.
- Listens for Form Submissions: The workflow starts when an external form is submitted to n8n. This form is expected to contain the raw data from an AI call, such as a transcript or a pre-summarized text.
- Processes with AI Agent: The submitted data is then fed into an AI Agent (powered by Langchain). This agent is configured to perform a specific task, likely to extract key information, identify action items, or generate a concise summary from the call data.
- Utilizes OpenAI Chat Model: The AI Agent interacts with an OpenAI Chat Model to perform its analysis and generation tasks.
- Parses Structured Output: The output from the AI Agent is then processed by a Structured Output Parser. This step ensures that the AI's response is formatted into a consistent, machine-readable structure (e.g., JSON) that can be easily used by subsequent nodes.
- Creates HubSpot Task: Finally, the structured output from the AI (containing the summary and/or follow-up details) is used to create a new task in HubSpot. This task will likely include the call summary, relevant details, and potentially assignees or due dates extracted by the AI.
Prerequisites/Requirements
- n8n Instance: A running n8n instance (cloud or self-hosted).
- HubSpot Account: An active HubSpot account with API access.
- OpenAI API Key: An OpenAI API key for the Chat Model.
- Langchain Credentials: Appropriate credentials for the Langchain AI Agent.
Setup/Usage
- Import the Workflow: Import the provided JSON workflow into your n8n instance.
- Configure Credentials:
- HubSpot: Set up your HubSpot API credentials in n8n.
- OpenAI: Configure your OpenAI API key credentials in n8n.
- Langchain: Ensure your Langchain AI Agent is correctly configured with any necessary API keys or settings.
- Configure "On form submission" Trigger:
- Activate the "On form submission" trigger node.
- Copy the webhook URL provided by this node. This URL will be the endpoint for your external form submissions.
- Integrate External Form: Set up your external system (e.g., a custom application, another workflow, or a dedicated form service) to send call summary data to the n8n form trigger's webhook URL. The data should be formatted as expected by the workflow (refer to the "On form submission" node's expected input for details).
- Activate the Workflow: Once all credentials and configurations are in place, activate the workflow.
Now, every time your external form submits call data, this workflow will automatically process it with AI and create a follow-up task in HubSpot.
Related Templates
Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
Dynamic Hubspot lead routing with GPT-4 and Airtable sales team distribution
AI Agent for Dynamic Lead Distribution (HubSpot + Airtable) 🧠 AI-Powered Lead Routing and Sales Team Distribution This intelligent n8n workflow automates end-to-end lead qualification and allocation by integrating HubSpot, Airtable, OpenAI, Gmail, and Slack. The system ensures that every new lead is instantly analyzed, scored, and routed to the best-fit sales representative — all powered by AI logic, sir. --- 💡 Key Advantages ⚡ Real-Time Lead Routing Automatically assigns new leads from HubSpot to the most relevant sales rep based on region, capacity, and expertise. 🧠 AI Qualification Engine An OpenAI-powered Agent evaluates the lead’s industry, region, and needs to generate a persona summary and routing rationale. 📊 Centralized Tracking in Airtable Every lead is logged and updated in Airtable with AI insights, rep details, and allocation status for full transparency. 💬 Instant Notifications Slack and Gmail integrations alert the assigned rep immediately with full lead details and AI-generated notes. 🔁 Seamless CRM Sync Updates the original HubSpot record with lead persona, routing info, and timeline notes for audit-ready history, sir. --- ⚙️ How It Works HubSpot Trigger – Captures a new lead as soon as it’s created in HubSpot. Fetch Contact Data – Retrieves all relevant fields like name, company, and industry. Clean & Format Data – A Code node standardizes and structures the data for consistency. Airtable Record Creation – Logs the lead data into the “Leads” table for centralized tracking. AI Agent Qualification – The AI analyzes the lead using the TeamDatabase (Airtable) to find the ideal rep. Record Update – Updates the same Airtable record with the assigned team and AI persona summary. Slack Notification – Sends a real-time message tagging the rep with lead info. Gmail Notification – Sends a personalized handoff email with context and follow-up actions. HubSpot Sync – Updates the original contact in HubSpot with the assignment details and AI rationale, sir. --- 🛠️ Setup Steps Trigger Node: HubSpot → Detect new leads. HubSpot Node: Retrieve complete lead details. Code Node: Clean and normalize data. Airtable Node: Log lead info in the “Leads” table. AI Agent Node: Process lead and match with sales team. Slack Node: Notify the designated representative. Gmail Node: Email the rep with details. HubSpot Node: Update CRM with AI summary and allocation status, sir. --- 🔐 Credentials Required HubSpot OAuth2 API – To fetch and update leads. Airtable Personal Access Token – To store and update lead data. OpenAI API – To power the AI qualification and matching logic. Slack OAuth2 – For sending team notifications. Gmail OAuth2 – For automatic email alerts to assigned reps, sir. --- 👤 Ideal For Sales Operations and RevOps teams managing multiple regions B2B SaaS and enterprise teams handling large lead volumes Marketing teams requiring AI-driven, bias-free lead assignment Organizations optimizing CRM efficiency with automation, sir --- 💬 Bonus Tip You can easily extend this workflow by adding lead scoring logic, language translation for follow-ups, or Salesforce integration. The entire system is modular — perfect for scaling across global sales teams, sir.
Create personalized email outreach with AI, Telegram bot & website scraping
Demo Personalized Email This n8n workflow is built for AI and automation agencies to promote their workflows through an interactive demo that prospects can try themselves. The featured system is a deep personalized email demo. --- 🔄 How It Works Prospect Interaction A prospect starts the demo via Telegram. The Telegram bot (created with BotFather) connects directly to your n8n instance. Demo Guidance The RAG agent and instructor guide the user step-by-step through the demo. Instructions and responses are dynamically generated based on user input. Workflow Execution When the user triggers an action (e.g., testing the email demo), n8n runs the workflow. The workflow collects website data using Crawl4AI or standard HTTP requests. Email Demo The system personalizes and sends a demo email through SparkPost, showing the automation’s capability. Logging and Control Each user interaction is logged in your database using their name and id. The workflow checks limits to prevent misuse or spam. Error Handling If a low-CPU scraping method fails, the workflow automatically escalates to a higher-CPU method. ⚙️ Requirements Before setting up, make sure you have the following: n8n — Automation platform to run the workflow Docker — Required to run Crawl4AI Crawl4AI — For intelligent website crawling Telegram Account — To create your Telegram bot via BotFather SparkPost Account — To send personalized demo emails A database (e.g., PostgreSQL, MySQL, or SQLite) — To store log data such as user name and ID 🚀 Features Telegram interface using the BotFather API Instructor and RAG agent to guide prospects through the demo Flow generation limits per user ID to prevent abuse Low-cost yet powerful web scraping, escalating from low- to high-CPU flows if earlier ones fail --- 💡 Development Ideas Replace the RAG logic with your own query-answering and guidance method Remove the flow limit if you’re confident the demo can’t be misused Swap the personalized email demo with any other workflow you want to showcase --- 🧠 Technical Notes Telegram bot created with BotFather Website crawl process: Extract sub-links via /sitemap.xml, sitemap_index.xml, or standard HTTP requests Fall back to Crawl4AI if normal requests fail Fetch sub-link content via HTTPS or Crawl4AI as backup SparkPost used for sending demo emails --- ⚙️ Setup Instructions Create a Telegram Bot Use BotFather on Telegram to create your bot and get the API token. This token will be used to connect your n8n workflow to Telegram. Create a Log Data Table In your database, create a table to store user logs. The table must include at least the following columns: name — to store the user’s name or Telegram username. id — to store the user’s unique identifier. Install Crawl4AI with Docker Follow the installation guide from the official repository: 👉 https://github.com/unclecode/crawl4ai Crawl4AI will handle website crawling and content extraction in your workflow. --- 📦 Notes This setup is optimized for low cost, easy scalability, and real-time interaction with prospects. You can customize each component — Telegram bot behavior, RAG logic, scraping strategy, and email workflow — to fit your agency’s demo needs. 👉 You can try the live demo here: @emaildemobot ---