HAN MA · CO-FOUNDER
Han
Co-founded Rebotify and has built AI and automation for Australian businesses since 2016. Han writes about how businesses use and pay for AI services.
We set up and run an AI employee for one recurring business task.
Your team reviews the prepared work.
Pricing can be monthly, per completed task or linked to agreed revenue results.
Describe a task your team repeats and the time it takes.
Our team will reply within one business day.
Your AI employee prepares work in the tools your team already uses. We agree what it should do, who reviews it and how to measure whether it helps. Rebotify handles the setup, monitoring and improvements.
Co-founders Han Ma and Jack Qian have built AI systems for Australian businesses since 2016. Both continue to work on customer projects.
HAN MA · CO-FOUNDER
Co-founded Rebotify and has built AI and automation for Australian businesses since 2016. Han writes about how businesses use and pay for AI services.
JACK QIAN · CO-FOUNDER
Co-founded Rebotify and works on system reliability, privacy and the product. Jack writes about building and maintaining useful AI services.
Your team should know what work to expect, where to review it and who to contact when something needs attention.
Your team knows what work to expect and who approves it. Rebotify manages the AI models, connections and technical setup.
Replies, meeting preparation, follow-ups and reports take time across agencies, law firms, insurance, wholesale and operations teams.
We monitor the work, fix problems and update the instructions and examples as your business needs change.
WHAT WE OWN
We agree the first task, connect your tools, record your instructions and examples, and set up the AI employee. We monitor for problems and review improvements each week.
WHAT YOU KEEP
Your AI employee uses the tools and access you approve. It prepares the agreed work and asks a person to step in when judgement is needed. Your team approves customer-facing and sensitive work.
Each case study describes one customer task, the work delivered and the review process.
Energy · legal & regulatory drafting
A named drafting assistant assembles first-draft contracts and regulatory filings from a precedent library for in-house counsel to review and sign — proof that Rebotify can run a scoped, reviewed drafting workflow. It does not prove small-firm legal intake or any client-facing legal output.
Read the case study
Higher education · course advice
A named course advisor handles first-touch enquiries and pathway questions, with formal credit decisions and admission conversations staying with human advisors — proof of first-touch enquiry handling, not enrolment or admissions decisions.
Read the case study
Telecommunications · chat triage
A named chat triage officer classifies and drafts replies to routine support chats, with billing, complaints, and outage communication routed to agents — proof of high-volume first-response triage, not autonomous customer resolution.
Read the case study
Co-founders Han Ma and Jack Qian have built AI and automation for Australian businesses since 2016. Han works on how customers use and pay for the service. Jack works on reliability, privacy and the product.
An AI employee has one agreed recurring task in the tools your team already uses. It prepares drafts, checks information and passes work to the right person, using the access agreed for that task.
Rebotify agrees the task with you, sets up the AI employee, connects your tools and handles monitoring and fixes, with weekly reviews. Your team checks the prepared work and approves customer-facing and sensitive decisions.
Yes. Our three case studies describe the work delivered and the results reported. Each covers a specific customer task; we assess your requirements separately.
A named person on your team approves customer-facing, financial, legal and other sensitive work. The AI employee prepares drafts and flags issues for that person to review.
Describe a task your team repeats and the time it takes.
Our team will reply within one business day.