Work
What keeps piling up?
Replies, reports, checks, handoffs, document chases, approvals, or follow-up that keeps coming back.
Admin, follow-up, reports, checks, and handoffs keep piling up.
Rebotify gives you a managed AI employee for that repeat work.
Your AI employee clears the queue inside your current tools.
We set it up, run it, and keep it working.
No hiring. No training. No new tool to manage.
Mia is Rebotify’s intake AI employee. She reads the queue, cost, and approval line. We reply with the first AI employee role we can set up.

Mia
Inbox officer · Ops team · Day 1
Reviewed weekly · Tuned by Rebotify
→ Day 210+ yrs
shipping AI work
Since 2016, before the hype cycle
4 regions
Oceania · Asia · North America · Europe
Local delivery, enterprise standards
12+
enterprise programs
Insurance, energy, retail, education
Selected programs we’ve built or shipped
Read the case studiesStart with the queue someone checks in a panic.
Mia turns inputs, drafts, approvals, and measurements into a role your team can trust.
30 SECONDS·AUDIO ON PLAY·NO LOOP·HUMAN APPROVAL
From Gmail to Salesforce, the first task starts where the problem already lives.
Tell us what's stuckThe first AI employee should own work with pain, urgency, and a human reviewer.
Pick the role your team keeps covering manually.
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
Replies, reports, checks, handoffs, document chases, approvals, or follow-up that keeps coming back.
Cost
Staff time, manager attention, customer wait time, rework, missed follow-ups, or lost revenue.
Quality
Better drafts, faster turnaround, fewer errors, cleaner handoffs, and less chasing from managers.
Control
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.
The vocabulary, tone and sign-off points are different in every business. Your employee learns yours before it ever sends a thing.
Accounting firms
BAS READINESS OFFICER
Chases missing client documents, groups bank-rec exceptions, checks invoice-coding questions and prepares the BAS or close pack for review.
Real estate agencies
MAINTENANCE COORDINATOR
Triages tenant maintenance requests, drafts vendor ETA chases, prepares tenant updates and creates owner-ready approval briefs.
Law firms
MATTER INTAKE OFFICER
Collects matter facts, drafts missing-document chases, prepares conflict-check context and queues lawyer-ready briefs.
A useful AI employee starts with accountability: the queue, the owner, the approval line and the metric that proves the work is safer than before.
We pick the work somebody already owns in practice: what comes in, what good output looks like, who signs off and what can never happen silently.
The employee works inside the inbox, CRM, calendar, docs, Slack or Teams your team already opens — no new dashboard for reps or ops to adopt.
Sensitive decisions pause with context before anything customer-facing, legal, financial or out-of-pattern leaves the business.
We watch queue size, cycle time, approval quality and misses. The next workflow only starts once the first one holds.
Hour by hour means a queue your team can inspect. By the second day, your first AI employee has scoped access, live inputs, approval points and a queue your team can inspect.
TUESDAY · 9 AM
00hr
A 30-minute planning call. We agree the role, the workflow, the sign-off points and the tools — written down like a job spec.
WIRING — 6 HRS
06hr
Scoped access to your inbox, CRM and docs. Nothing trains shared models. Cancel any day and we revoke access the same day.
DAY 1 — DRAFTS UP
24hr
Mia is reading live inputs and drafting in your tone. You see the queue, the drafts and the flags before anything sends.
THURSDAY · 9 AM
48hr
Your team reviews the first batch. The role is named, the queue is owned, the weekly review is on the calendar.
Mia is Rebotify’s intake AI employee. She reads the repeated queue, cost, and approval line.
We handle access, integrations, monitoring and tuning — the parts that quietly kill AI projects after the first excited week.
By the end of week one your AI employee is doing real work: drafts ready, flags raised, reports prepared, and approvals waiting in the tools your team already opens.
Mia prepares the work and pauses before anything customer-facing, legal, financial or unusual leaves the business.
You keep control of the choices that can hurt trust.
If a connection breaks, output drifts or the workflow changes, we tune it before your team starts working around it.
Every week, the role gets sharper.
Your team still decides, approves, and gives feedback.
The quiet work around them gets handled before the next meeting starts.
Your team makes the calls — approvals, edge cases, anything customer-facing.
Mia prepares everything around the decision so it takes a minute, not an hour.
Inbox, CRM, docs, tasks — Mia plugs into the queue behind the scenes.
No new dashboard for your team to learn or log into.
When the work shifts or quality slips, we coach Mia like you would coach a hire.
You see the diff, not the wiring.

The queue clears before the day starts.
A morning with Mia
HOW IT’S PRICED
unit price × tasks completed
For jobs where volume moves up and down. You pay when the employee finishes a defined unit of work.
HOW IT’S PRICED
one line item / month
For work the team keeps carrying every week. A known cost, less than hiring the role.
HOW IT’S PRICED
setup base + % of revenue closed
For revenue jobs where the fear is paying for activity that never moves pipeline.
What comes in, what good looks like, who signs off, and which mistake would make the team lose trust.
The repeated work gets a role, a queue, and a clear human reviewer.
Sensitive drafts and decisions pause before customers, money, or policy are touched.
Setup, monitoring, troubleshooting and weekly tuning stay with us.
When the first queue holds, the same employee learns the next workflow.
Month-to-month, no setup fees. Start with the job that already has cost, an owner, and consequences when it slips.
No. Rebotify runs the AI employee for you. There is no dashboard your team has to learn, no prompt library to maintain, and no automation stack for RevOps or ops to babysit. We design the role, build it inside your existing tools, and tune the work every week.
Start with the role you'd hire for tomorrow — the repeated queue with real pain, clear outputs, and a human reviewer. Replies, briefs, follow-ups, reviews, CRM hygiene and reports are the usual first picks. We map that role with you on the 15-minute planning call.
They do not need to adopt a new platform. The employee works where the work already happens: inbox, CRM, calendar, docs, Slack or Teams. Your team approves work and gives feedback; Rebotify handles setup, monitoring, tuning, access, troubleshooting and weekly improvements.
The employee prepares the work, then pauses for approval before anything customer-facing, legal, financial or out-of-pattern leaves the business. The point is to reduce rushed work and missed context, not to remove judgment.
The employee runs inside your existing tools through scoped access. Nothing is used to train shared models. You can cancel any day — and we revoke access — the same day.
We define the role by business output: replies cleared, leads qualified, contracts reviewed, reports prepared, pipeline moved, or cycle time reduced. You hold the employee to those outcomes the same way you would hold a new hire. The price is a fraction of what that hire would cost, and you see the numbers from week one.
Month-to-month, no setup fees. If the workflow is not moving the right numbers, we either narrow the role or stop. You keep the setup and operating notes either way.
Within 48 hours of kick-off, your AI employee is running its first real workflow against live inputs: drafts, flags, or queued work waiting for your approval.
She reads the queue, cost, and approval line.
We reply with the first AI employee role we can set up.