AI-Driven Support Lead Automation through N8n
Budget: ₹12,500 – ₹37,500 INR
My support team still harvests contacts and triages basic questions by hand. I want to replace that with an automated flow built in n8n that:
• pulls fresh support-related leads from our social-media inboxes and from a dedicated email account,
• enriches each record (name, handle, message, timestamp, sentiment if easily available),
• stores everything in our CRM or a shared Google Sheet, and
• triggers an AI agent that sends a courteous, pre-approved first reply so the lead knows we’re on it.
The heavy lifting must live inside n8n, using its native nodes or custom JavaScript functions to call any necessary APIs. You’re free to stitch in external NLP or ML services if it simplifies the workflow, but the key feature I need right now is reliable automated responses rather than deep predictive modelling.
Deliverables I expect
1. An n8n workflow file (.json) with all nodes configured.
2. A short README explaining environment variables, API keys, and how to extend the flow to new channels later.
3. A quick Loom or step-by-step screenshots proving the flow runs end-to-end with dummy data.
If you’ve already connected social platforms or email inboxes inside n8n and handled automated replies before, you’ll probably finish this in an afternoon. Let me know what libraries or external services you’d lean on, any rate-limit caveats to watch for, and roughly how long you think the hand-off and testing phase will take.
Sample
9/9/2025 AIRSYS USA Process Quality Engineer Greer, SC https://www.linkedin.com/jobs/view/4296201093/?alternateChannel=search&eBP=NON_CHARGEABLE_CHANNEL&refId=JLaUAbwyyWJN2KOMx%2B71sg%3D%3D&trackingId=Lu0TSMcYU%2FY1X2%2F79bOmBA%3D%3D&trk=d_flagship3_search_srp_jobs EST http://www.airsysnorthamerica.com air-sys.us Hugh Zhong Human Resources Business Partner hugh.zhong@air-sys.u
• pulls fresh support-related leads from our social-media inboxes and from a dedicated email account,
• enriches each record (name, handle, message, timestamp, sentiment if easily available),
• stores everything in our CRM or a shared Google Sheet, and
• triggers an AI agent that sends a courteous, pre-approved first reply so the lead knows we’re on it.
The heavy lifting must live inside n8n, using its native nodes or custom JavaScript functions to call any necessary APIs. You’re free to stitch in external NLP or ML services if it simplifies the workflow, but the key feature I need right now is reliable automated responses rather than deep predictive modelling.
Deliverables I expect
1. An n8n workflow file (.json) with all nodes configured.
2. A short README explaining environment variables, API keys, and how to extend the flow to new channels later.
3. A quick Loom or step-by-step screenshots proving the flow runs end-to-end with dummy data.
If you’ve already connected social platforms or email inboxes inside n8n and handled automated replies before, you’ll probably finish this in an afternoon. Let me know what libraries or external services you’d lean on, any rate-limit caveats to watch for, and roughly how long you think the hand-off and testing phase will take.
Sample
9/9/2025 AIRSYS USA Process Quality Engineer Greer, SC https://www.linkedin.com/jobs/view/4296201093/?alternateChannel=search&eBP=NON_CHARGEABLE_CHANNEL&refId=JLaUAbwyyWJN2KOMx%2B71sg%3D%3D&trackingId=Lu0TSMcYU%2FY1X2%2F79bOmBA%3D%3D&trk=d_flagship3_search_srp_jobs EST http://www.airsysnorthamerica.com air-sys.us Hugh Zhong Human Resources Business Partner hugh.zhong@air-sys.u