HAN MA · CO-FOUNDER
Han
Co-founded Rebotify. Has been shipping AI and automation work for Australian businesses since 2016, before the hype cycle made it fashionable. Writes the positioning, adoption and pricing notes.
About
Rebotify turns AI into a worker your team can rely on.
We build, connect, monitor and improve a named AI employee for your business.
The service is deliberately simple: one worker, one flat monthly price, and no expectation that your team becomes an AI operations team.
FIRST FIXGet one task off the teamSee how it works
Tell us the work that keeps coming back.
Mia maps the first AI employee role that can clear it.
THE INSIGHTBusinesses do not want
Businesses do not want
more software to manage.
Most teams already have too many apps, too many tabs and too many half-finished AI experiments. Rebotify turns the first useful AI role into a managed employee: a name, a job, a morning rhythm and someone responsible for keeping the work moving.
15-MIN CALL·SAME-DAY REPLY
2016
Operating AI systems for Australian businesses since the early automation wave.
48hr
Target for first useful employee setup after the kickoff call.
1 role
Named, owned, reviewed weekly — like any new hire.
CO-FOUNDERS
Who runs Rebotify.
Two co-founders. Both have been shipping AI work for Australian businesses since 2016 — and both still spend their day on real customer workflows.
JACK QIAN · CO-FOUNDER
Jack
Co-founded Rebotify. Operates the reliability, privacy and product surface — the layers customers never see that decide whether an AI employee stays useful at week twelve. Writes the craft notes.
PRINCIPLES
How we think about the work.
The best employee feels simple from the outside: ask for the work, review what matters, and wake up to progress already made.
Sell the employee, not the tooling
Your team should not need to understand tokens, model routing, MCPs, cloud computers or retry logic. They should meet a named worker with a clear role.
Start with recurring executive work
Inbox, meetings, follow-ups, loose ends, reporting and context switching are shared across agencies, law, insurance, wholesale and operations-heavy businesses.
Run it after launch
The useful part of an AI employee is not the first demo. It is the monitoring, fixes, new skills and memory work that keep it useful months later.
WHAT WE OWN
Setup, reliability and weekly improvement.
We scope the first job, connect the stack, document the memory, configure the worker, watch for failures and add the next useful skill. Your team asks for work. We keep the employee sharp.
WHAT YOU KEEP
Control, approvals and business context.
Your employee works inside the tools you approve, follows the role you define and escalates when judgement matters. The goal is real work back for your team, not opaque automation running loose.
48-HOUR START
Tell us the queue that keeps slipping. Leave with the first AI employee scope.
Get one task off the team
Tell us the work that keeps coming back.
Mia maps the first AI employee role that can clear it.