AI Customer Support Inbox
Drafts replies from your own help docs and past tickets, human approves and sends.
Problem & target users
Small support teams answer the same forty questions forever, and hiring for volume spikes is slow and expensive.
Who it's for: Small e-commerce brands, SaaS teams under 50 people, agencies running support.
Proposed solution
Connect the shared inbox and help centre, index them, and draft a grounded reply for every incoming ticket with citations to the source article, so an agent approves in one click instead of writing from scratch.
Features
- Email and chat inbox connection
- Retrieval over help docs and resolved tickets
- Draft reply with cited sources and confidence score
- One-click approve, edit or escalate
- Gap report showing questions with no documented answer
Difficulty & tech stack
Difficulty: Advanced
Monetization & pricing
- Subscription per seat
- Volume tier by tickets handled
Suggested pricing: Solo $19/mo (300 tickets), Team $99/mo (2,000 tickets), Scale $299/mo (10,000).
Customer acquisition
Target 'reduce support response time' content, list on Shopify and Slack app directories, and run a free audit that shows a brand how many of its last 200 tickets were repeats.
First 10 customers: Run the free repeat-ticket audit for 25 Shopify brands found through BuiltWith, share the report with no pitch, and offer the first month free to the ten with the worst repeat rate.
Build steps
- Build inbox ingestion and a normalised ticket model
- Index help docs and resolved tickets into a vector store
- Build the grounded draft pipeline with citations
- Build the agent review UI with approve, edit and escalate
- Add the knowledge-gap report
- Add billing, seats and usage limits
Risks & challenges
- A confidently wrong reply damages the customer's brand, not just yours
- Inbox API scopes need vendor review
- Incumbents like Intercom ship the same feature to a bigger base
Ready to build it?
Get a full product spec plus a paste-ready prompt for your AI app builder.