# 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.