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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

Your data stays where it mustDeployed in your environment, or hosted in-country where regulation requires it.
A clinician approvesAny AI output that touches a patient record is a draft until a person signs it off.
Every answer is loggedAudit logs of what the AI saw, said and who approved it.
Access by roleStaff see only what their role allows, the same as in your existing systems.

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.