Back-office

Approvals

Approvals stall when the request lacks context, owner, or risk notes.

Mia packages the decision so a human can approve faster.

FIRST FIXUnblock stuck approvals

Send the approval request that stalls.

Mia maps the routing, context, and chase 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.

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WORKDAY PRESSURE

Start where someone is already getting chased.

Finance, operations, procurement, HR, and marketing teams where decisions stall across approvers.

Owner

Operations manager, finance lead, procurement owner, or department head who has to keep decisions moving without bypassing control.

Workday sentence

Whose turn is it, what context do they need, and what is stuck past SLA?

Where it gets stuck

Approvals fail because the request, context, approver, amount threshold, and reminder path are not in one place.

What cannot go wrong

Spend, contracts, hires, or customer commitments get delayed, or the wrong person approves without enough context.

What stays human

They protect governance and speed together.

They do not want AI approving money, people, or legal risk.

First useful version

A routed approval trail with the right approver, attached context, respectful reminders, and escalation when the SLA breaks.

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

Right approver notified with relevant context

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

Approval requests (expenses, contracts, content, hires)

Human approval

Where people stay in charge

Approvers approve.

The employee tracks the trail and chases what stalls.

WHY THIS RESULT MATTERS

Approvals rot in inboxes because nobody knows whose turn it is.

The employee routes each request to the right approver, attaches the context they need, and chases what slips past your SLA.

CURRENT COST
  • Approval requests (expenses, contracts, content, hires)
  • Routing rules per amount and category
  • Escalation paths and SLA windows
RESULT DELIVERED
  • Right approver notified with relevant context
  • Reminders that respect time-of-day and channel preference
  • Escalations triggered when the SLA breaks
PROOF MOMENT

Marketing campaign budget hits the inbox at 3pm. CMO sees it with the prior-quarter benchmark attached, approves in five minutes.

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. Approvals. First proof in 48 hours.

Unblock stuck approvals

Send the approval request that stalls.

Mia maps the routing, context, and chase loop.