TL;DR: AI email responder reads, classifies, and responds to incoming email. Claude API + email platform + n8n. 1-2 weeks. 60-80% time reduction on routine email.
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Email is the biggest time sink. Same questions, same info, same responses with different names. AI handles the repetitive stuff. Team focuses on what requires thought.
## How It Works
1. Ingestion: Monitors inbox 2. Classification: AI categorizes (FAQ, support, sales, internal, spam) 3. Response: AI drafts based on category and content 4. Delivery: Auto-sends high-confidence or routes to human review
## Handles Well FAQ responses, appointment confirmations, status updates, document requests, simple support, acknowledgment emails.
## Should Escalate Complaints, legal/compliance, money disputes, complex support, VIP clients, low-confidence classifications.
## Build Steps
1. Audit email. 30 days. Categorize everything. 60-80% fall into fewer than 15 categories.
2. Knowledge base. Per category: standard response, personalization variables, tone, links, escalation triggers.
3. Pipeline in n8n. Email trigger > extract details > classify via Claude > route > generate response > confidence check (below 85% = human review) > send/queue > log.
4. Prompts. Classification: categories + confidence + escalation rules. Response: template + context + tone + signoff.
5. Human review queue. Original email + AI draft + approve/edit/reject. Slack notification, draft folder, or simple web UI.
6. Test. 50 emails covering all categories plus edge cases. Target: 90%+ classification accuracy.
7. Shadow mode. First week: generates but doesn't send. Compare to team's actual responses.
8. Go live. Auto-send highest-confidence only. Human review for rest. Expand gradually.
## Optimization
- Review misclassifications weekly - Pre-generate top 5 category responses - Smaller model for classification, full model for generation - Monitor response time, satisfaction, reply rates, escalation rates
## FAQ
Q: Customers notice? Not with good config matching your tone and style.
Q: Cost? Under $300/month for hundreds of daily emails.
Q: Attachments? Text-based processed. Complex route to human.
Q: Speed? 30-60 seconds auto-response.
Q: Wrong response sent? Shadow mode + gradual expansion + confidence thresholds = under 2% error. Always have feedback mechanism.
Q: Multiple languages? Yes. Claude handles dozens. Add language detection to classification.
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