I will build an ai email auto reply agent using n8n and gpt


About this gig
Your inbox doesn't need a human answering the same questions 50 times a day.
I build AI email agents that read messages, understand intent, and draft or send accurate replies trained on your FAQs and policies.
On a past project, this hit 80-90% auto-reply coverage on a high-volume support inbox most emails never needed a human.
WHAT I BUILD
- Email classification (support / sales / spam / urgent)
- Auto-drafted or auto-sent replies based on your own knowledge base
- Escalation routing to a human for anything outside scope
- Optional dashboard for reviewing/approving drafts before send
WHAT YOU GET
- A working pipeline (n8n, Zapier, or Make + GPT + your email provider) tested on real examples from your inbox
- Documentation so your team isn't locked to me for changes
BEST FIT FOR
- Businesses getting 20+ repetitive support emails a day
- Founders who want response time down without hiring
TECH: n8n / Zapier / Make, OpenAI GPT API, Gmail/Outlook API, Pinecone for knowledge grounding.
Message me your typical email volume and top 5 recurring question types before ordering I'll tell you honestly if this is a good fit.
Get to know Asmit Khare
I build smart tools, Automations and AI Driven Solutions
- FromIndia
- Member sinceMar 2026
- Avg. response time2 days
Languages
English
FAQ
Which automation tool will you use n8n, Zapier, or Make?
Whichever fits your stack and budget best, I'll recommend one after hearing your setup.
Will this fully replace my support team?
No, it handles repetitive, answerable emails so your team only deals with the ones that actually need a human
What if I don't have my FAQs/policies documented?
I'll help you compile them from your existing emails/docs during onboarding, it's part of the build.
Which email platforms do you support?
Gmail and Outlook/Microsoft 365 primarily. Other providers with IMAP/SMTP access, message me first to confirm.
Can it send replies automatically, or does a human approve first?
Both are possible, auto-send for high-confidence replies, human approval for anything uncertain. We set the threshold together.
How do you measure if it's working?
I test against a sample of your real past emails before calling it done, and can set up basic tracking on auto-reply rate.
How do you measure if it's working?
I test against a sample of your real past emails before calling it done, and can set up basic tracking on auto-reply rate. Before going live, I'll walk you through sample outputs so you can see exactly how it classifies and responds, nothing goes live until you're comfortable with the accuracy.

