This article provides a complete, practical walkthrough of the Gmail Stickynote Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Sales Lead Management with n8n: From Gmail to Odoo Using AI-Powered Summarization
   
   Meta Description:
   Discover how an automated n8n workflow streamlines the sales process by extracting leads from Gmail, summarizing inquiries with OpenAI, and creating opportunities in Odoo—saving time and boosting productivity.
   
   Keywords:
   n8n workflow, sales automation, Gmail integration, Odoo CRM, OpenAI GPT summarization, AI email parsing, create sales opportunities, automate lead management, AI in CRM, cloud integration tools
   
   Third-Party APIs Used:
   
   1. Gmail API (via n8n Gmail Trigger node) – to monitor and fetch emails labeled as “Sales”
   2. OpenAI API – for AI-powered summarization of email content
   3. Odoo API – to create and save sales opportunities with structured summaries
   
   Article:
   
   In the fast-paced world of sales and business development, responding quickly and efficiently to new inquiries can make all the difference. Manual lead management processes—sorting through emails, extracting pertinent details, writing summaries, and creating CRM entries—are not only time-consuming but prone to errors and inconsistencies.
   
   Enter n8n, the powerful open-source workflow automation tool. By integrating Gmail, OpenAI, and Odoo through a custom n8n workflow, businesses can streamline their lead generation and qualification processes, leveraging artificial intelligence to minimize manual input while maximizing responsiveness and consistency.
   
   This article explores a real-world example titled "Save New Sales Opportunities" that illustrates how n8n can be used to turn inbound sales emails into actionable CRM entries, complete with AI-generated summaries. Let’s break down how it works and the value it provides.
   
   The Workflow Overview
   
   This n8n automation is designed to transform incoming sales inquiries, received via Gmail, into structured sales opportunities in Odoo CRM with the help of OpenAI's summarization capabilities. Here's how the workflow unfolds:
   
   1. Gmail Trigger: Capturing Sales Inquiries
   The workflow begins with the Gmail Trigger node. It is configured to monitor a Gmail inbox for new emails labeled as "Sales." This automation checks the inbox every hour and retrieves any unread messages tagged with this specific label.
   
   For instance, a procurement manager from Innovative Solutions Inc. sends an email titled "Urgent Inquiry for CloudConnect Pro Integration." The message details a keen interest in the CloudConnect Pro platform, requesting pricing, implementation support, and case studies—classic sales lead content.
   
   2. AI Summarization of Email Content
   Once the email is received, it is passed to the “Summarize Email Content” node, powered by the LangChain summarization chain and OpenAI API (using the gpt-3.5-turbo-instruct model). Custom prompt engineering guides the AI to extract structured insights such as:
   
   - Project timelines
   - Budgetary expectations
   - The sender's organization and role
   - Areas of interest (e.g., cloud integration and data management)
   - Intent and urgency
   
   The generated summary is concise yet rich in context, such as:
   
   “Mihai Farcas, Procurement Manager at Innovative Solutions Inc, is interested in incorporating CloudConnect Pro platform into their upcoming projects. They are impressed by its capabilities in cloud integration, data management, and flexibility. They request detailed information on pricing, implementation options, support services, and case studies for enterprise-level deployments.”
   
   3. Creating Opportunities in Odoo CRM
   The summarized content, along with metadata from the original email (including the sender’s email address and subject line), is then used to populate a new opportunity in Odoo through the “Odoo - Create Opportunity” node. This structured CRM entry helps the sales team instantly access and act upon the most relevant information without having to read through the entire original message.
   
   Each new opportunity includes:
   
   - Opportunity name from email subject
   - Contact email from sender
   - Description populated with the AI-generated summary
   
   This seamless integration ensures that valuable sales leads aren’t lost or delayed in an inbox, and sales reps have everything they need to follow up efficiently.
   
   Benefits at a Glance
   
   - Time Savings: Automates several manual tasks including reading, interpreting, summarizing, and inputting emails into a CRM.
   - Improved Data Accuracy: Reduces the chance of human error by automatically parsing and entering data.
   - Enhanced Response Rates: With leads structured and available in Odoo promptly, sales teams can respond faster, increasing conversion potential.
   - Scalable: As inquiries grow, this workflow requires no additional human bandwidth, making it ideal for scaling teams and businesses.
   
   Set Up Requirements
   
   To replicate or adapt this workflow, you’ll need to configure credentials for each integration within n8n:
   
   - Google Cloud project with Gmail API access and OAuth2 setup
   - OpenAI API key for AI summarization
   - Valid Odoo API credentials tied to your CRM instance
   
   Conclusion
   
   This n8n workflow exemplifies the power of low-code automation and AI integration in modern business processes. By combining Gmail, OpenAI, and Odoo, businesses can automatically capture leads, derive actionable value, and drive them directly into the hands of sales reps—ensuring no opportunity goes unnoticed.
   
   As inboxes continue to flood with inquiries and business interest, intelligent automation like this ensures that the sales engine runs lean, smart, and fast. Whether you're a startup or an enterprise, workflows like "Save New Sales Opportunities" will give your sales team the edge they need to succeed.
   
   Embrace the automation—your sales team will thank you.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.