Healthcare
AI that takes admin off your clinicians’ desks.
We start where AI is safe and pays back fast: patient communication, claims, documentation and internal knowledge. Clinical decisions stay with clinicians.
Where AI pays back first
Patient WhatsApp assistant
Problem. Front desks are flooded with calls and chats about schedules, bookings and insurance.
What AI does. Answers doctor schedules, bookings, FAQs and insurance questions around the clock, and hands over to staff when needed.
Claims document checker
Problem. Claims to national insurers and private payers are delayed or rejected for missing or inconsistent documents.
What AI does. Checks each claim file for completeness and consistency before it is submitted, and lists what to fix.
Discharge summary drafts
Problem. Doctors spend hours writing summaries at the end of a shift.
What AI does. Drafts the summary from the notes. A doctor reviews, edits and approves every one before it is used.
SOP and guideline assistant
Problem. Nurses and staff dig through long documents to find the right procedure.
What AI does. Answers questions from your own SOPs and guidelines and shows the exact source.
Medical records integration
Problem. Electronic records and national health platforms such as SATUSEHAT need clean, connected data.
What AI does. Connects systems and keeps records flowing in the required formats.
Queue and bed dashboard
Problem. Managers see occupancy and waiting times too late to act.
What AI does. Live view of queues and beds, with short-term forecasts.
Interfaces in English, Bahasa Indonesia and Arabic.
What we don’t build
Diagnosis, treatment recommendations or triage decisions. Those are clinical decisions and, in many countries, regulated medical devices. We stay on the administrative and operational side, where AI is safe to deploy quickly.
Built to actually be used
Most hospital software fails because busy staff stop using it. We design around real shifts and real workflows: fewer clicks, answers with sources, and clear handover to a person. That comes from our background in behavioral psychology.
Safeguards, built in
How to start
Start with an AI Opportunity Audit ($4,900, credited to the build). Most first pilots cover one workflow in one department and run for 4 to 6 weeks.