Back-office

Ticket triage

Support tickets wait while the team works out intent, history, and urgency.

Mia prepares the triage and routes exceptions before the SLA slips.

FIRST FIXClear the ticket backlog

Send the ticket queue and escalation rules.

Mia maps the first classify, draft, and escalate loop.

See pricing
TYPICAL TOOLS

The employee runs inside the systems you already use.

The point is less manual work, not another app to manage.

ZendeskZendesk
IntercomIntercom
FreshdeskFreshdesk

If your stack is different, it almost certainly connects too. See the directory →

WORKDAY PRESSURE

Start where someone is already getting chased.

Support, service desk, and customer operations teams managing high-volume queues.

Owner

Support manager, CX lead, service desk owner, or operations lead measured by queue health and customer trust.

Workday sentence

Which tickets need a human, which can be drafted safely, and what is about to breach?

Where it gets stuck

Every ticket looks urgent until it is categorized, matched to context, checked against policy, and routed to the right level.

What cannot go wrong

Backlog turns into angry customers, a risky reply goes out, or the team burns out answering the same question all day.

What stays human

They protect customer trust and team morale.

They do not want an unsupervised bot damaging the brand.

First useful version

A categorized queue with safe drafts, priority flags, source context, and edge cases held for frontline review.

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.

Your team keeps the decision.

Work to clear

What your team gets back

Categorized, prioritized queue

Impact

Why it matters

Less review time, fewer missed items, cleaner files, and less expensive admin around work that still needs expert approval.

Current cost

What it costs now

Incoming tickets across email, web form and chat

Human approval

Where people stay in charge

Frontline reviewer accepts or revises before send.

Sensitive replies always pause for human review.

WHY THIS RESULT MATTERS

Most tickets are variations of the same five questions.

The employee categorizes each one, drafts the reply for the common patterns, and tags the edge cases for human escalation.

Your team handles the 20% that actually needs them.

CURRENT COST
  • Incoming tickets across email, web form and chat
  • Knowledge base and past resolutions
  • Escalation criteria and priority rules
RESULT DELIVERED
  • Categorized, prioritized queue
  • Draft replies for common patterns
  • Edge cases flagged with reasoning
PROOF MOMENT

Saturday morning ticket spike. Monday: 60% of weekend tickets already resolved with auto-sent replies, 30% drafted and waiting, 10% escalated.

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.

If this is cheaper or safer with a person, the scorecard says that.

WORK + APPROVAL SCORECARD

A short check for cost, speed, quality, risk, and the first safe version.

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. Ticket triage. First proof in 48 hours.

Clear the ticket backlog

Send the ticket queue and escalation rules.

Mia maps the first classify, draft, and escalate loop.