Order-status questions
Pulls the order, fulfilment and tracking to draft an accurate reply.
Orders
Demo Lab · concept build
AI support workflow for Shopify customer operations
A demo build where AI drafts answers from real order and store context and a human approves before send — faster first response, fewer repetitive tickets, humans in the loop.
Demo LabThis is a concept / prototype build — illustrative architecture, not a guaranteed result or a named client.
Illustrative architecture
Ticket
Order context
AI draft
Human approval
Reply
Illustrative architecture — concept build, not a client system.
01 — The time sink
What support teams waste time on.
A large share of tickets are the same few questions: where's my order, can I return this, does this fit, what's your policy. Each is quick on its own and exhausting at volume — and answering them manually all day pulls the team off the tickets that actually need judgement.
An AI workflow drafts these answers from store and order context, so an agent reviews and sends instead of writing from scratch. The boring volume gets faster; the human stays responsible for what goes out.
02 — What it handles
Drafted from real context.
Returns & refunds
Reads policy and order eligibility to draft the right next step.
Returns
Product-fit questions
Uses product data and FAQs to draft a helpful, on-brand answer.
Products
Internal knowledge base
Grounded in your policies so answers stay consistent, not invented.
Knowledge
03 — Safety
AI assists — it doesn't go rogue.
The point is leverage with control, not an autonomous black box answering customers unsupervised.
- 01Human approval
- Drafts wait for an agent to review and send — nothing auto-sends by default.
- 02Grounded answers
- Responses are built from your data and policies, reducing made-up replies.
- 03Escalation rules
- Sensitive or low-confidence cases route straight to a human, no draft.
- 04Audit trail
- Logged context and decisions so you can see what was answered and why.
04 — Who it's for & scope
Who this is for.
Best for stores where support volume is high and repetitive — order-status, returns and product-fit questions eating the team's day. Typical scope: a focused automation build, cautiously CHF 3,000–12,000+ depending on helpdesk, integrations and guardrails.
Support & operations teams
Teams drowning in the same few ticket types who want faster first response without losing control.
Audience
Human-in-the-loop
Drafts wait for approval by default; only narrow, low-risk cases auto-send if you choose.
Safety
Grounded in your data
Answers built from Shopify order context and your knowledge base, with a full audit trail.
Data
05 — What we would measure
Instrumented from day one.
We don't promise numbers we haven't earned. These are the metrics we'd wire up so the build's value is measured, not assumed.
First-response time — how quickly a drafted reply is ready for review.
% of tickets auto-drafted — the share of volume the workflow can prepare.
Human-edit rate before send — how much agents change a draft, a proxy for draft quality.
Escalation rate — sensitive or low-confidence cases routed straight to a human.
Support volume deflected — repetitive tickets resolved faster, freeing the team.
Answer accuracy (reviewed) — sampled, human-reviewed correctness of drafted answers.
FAQ
Questions about this build.
No. By default it drafts; a human reviews and sends. Auto-send is only ever enabled for narrow, low-risk cases you explicitly approve.
Build something like this.
We'll scope a version tailored to your store from a short audit — architecture, integrations and edge cases included.