TYPICAL TOOLS
The employee runs inside the systems you already use.
The point is less manual work, not another app to manage.
Shop
Gorgias
Zendesk
AfterShip
Loop Returns
If your stack is different, it almost certainly connects too.
WORKDAY PRESSURE
Start where someone is already getting chased.
Shopify and ecommerce brands managing order-status, returns, refunds, and support spikes.
Owner
CX lead, ecommerce operations manager, founder, or support lead protecting customer experience and margin.
Workday sentence
Where is the order, can they return it, and can we answer without making a refund mistake?
Where it gets stuck
Support reps need order data, tracking events, policy windows, product context, and customer history before a useful reply is safe.
What cannot go wrong
Bad reviews grow during a support spike, refunds leak margin, or a wrong reply creates a chargeback or public complaint.
What stays human
They protect brand voice, customer trust, and fair policy.
They do not want a generic chatbot talking like every other store.
First useful version
A triaged support queue with order-aware reply drafts, refund exceptions, and sensitive cases held for approval.
WORK + APPROVAL
What changes when this work gets handled.
Mia is useful only if this work gets cheaper, faster, cleaner, or easier to trust.
She handles prep, drafts, chases, and handoffs.
Work to clear
What your team gets back
WISMO and returns queue triaged by order status, policy, and urgency
Impact
Why it matters
More follow-up, cleaner customer context, faster movement, and fewer revenue moments lost to scattered prep work.
Current cost
What it costs now
Customer tickets, Shopify order data, tracking events, return windows, and refund policy
Human approval
Where people stay in charge
Support leads approve refunds, exceptions, sensitive replies, and policy edge cases before anything leaves the queue.
WHY THIS RESULT MATTERS
Ecommerce support teams do not need more generic macros.
They need each ticket to know the order, shipping status, return window, product policy, and refund risk before anyone replies.
This AI employee prepares the answer and holds risky cases for human approval.
CURRENT COST
- Customer tickets, Shopify order data, tracking events, return windows, and refund policy
- Product catalog details, customer history, and support macros
- Escalation rules for high-value orders, chargebacks, fraud, and exceptions
RESULT DELIVERED
- WISMO and returns queue triaged by order status, policy, and urgency
- Reply drafts with live order, tracking, and product context
- Refund, exchange, and escalation queue with risk notes for review
PROOF MOMENT
"Peak-season Monday. The AI employee clears order-status questions, drafts return-window replies, and escalates three refund exceptions with full order context."
MORE IN REVENUE
Other results on the same track.
- Client reporting automation: Turn scattered analytics, ad data, SEO notes, and account context into a client-ready report draft before the Friday scramble starts.
- Candidate follow-up: Get candidates to interview before they go cold by triaging resumes, drafting follow-ups, scheduling interviews, and updating hiring managers.
- Lead research: Pull lists, enrich with firmographics and intent.
- AI SDR: An AI SDR that personalizes first-touch emails, sequences the follow-ups, and holds borderline drafts for review.
Work scorecard
Before you hire for it, send us the stuck work.
Mia checks the cost, risk, approval line, and whether an AI employee can clear the first version.
WORK + APPROVAL SCORECARD
A short check for cost, speed, quality, risk, and the first safe version.
7 min Work
What keeps piling up?
Replies, reports, checks, handoffs, document chases, approvals, or follow-up that keeps coming back.
Cost
What does it cost now?
Staff time, manager attention, customer wait time, rework, missed follow-ups, or lost revenue.
Quality
What would make it useful?
Better drafts, faster turnaround, fewer errors, cleaner handoffs, and less chasing from managers.
Control
What still needs human approval?
Customer promises, pricing, refunds, legal language, financial decisions, or anything that can damage trust.
Output: work to clear, current cost, approval line, pricing shape, and the smallest useful test.
HIRE YOUR FIRST
One stuck task. Ecommerce support automation. First proof in 48 hours.
Send the WISMO or return queue.
Mia maps the first order-context, policy-check, and escalation loop.
LIVE IN 48 HRS
One stuck workflow. Unstick WISMO; Mia maps the first fix.