Private AI for doctors, patient data stays in the clinic.
Clinics spend a large share of the day on writing rather than treating: notes, referral letters, medical reports, insurance forms and panel claims. AiServa drafts and summarises them on a server inside the clinic, so patient information never goes to an outside AI service. The doctor reviews and signs every word.
What slows doctors and clinics down today.
Paperwork after every consultation
Referral letters, memos, medical certificates and insurer reports are written at the end of long days.
Guidelines are long and scattered
The clinic's protocols, formulary and clinical guidelines are PDFs that are hard to search in the middle of a clinic session.
Patient data cannot be sent to public AI
Medical records are among the most sensitive personal data there is, and a public chatbot is not somewhere they should go.
What AiServa does for doctors and clinics.
Each task runs on your own AiServa server. The AI prepares; a professional reviews and decides.
Consultation Note Drafting
Rough typed notes turned into a structured note in the clinic's format, for the doctor to check and sign.
Referral and Report Letters
Referral letters, replies and medical reports drafted from the note and results, in the clinic's letterhead template.
Protocol and Formulary Search
Ask the clinic's own protocols, formulary and approved guidelines, with the section cited, during a session.
Panel and Insurance Claims
Claim forms pre-filled from the visit record, and panel rules checked before submission.
Patient Instructions in Their Language
Discharge and medication instructions prepared in English, Bahasa Malaysia or Chinese for the doctor to approve.
Have a Job of Your Own?
Turn it into a skill or a command in your own workspace, add the documents to a knowledge base, and every colleague can run it the same way.
Start Free TrialAsk your own documents. Get the source.
A private RAG knowledge base indexes the documents you already have with a local embedding model and vector database. Every answer cites the file and page. How RAG works.
Documents it reads
- Consultation notes and typed dictation
- Referral and reply letters
- Lab and imaging reports
- Clinical guidelines and protocols
- Clinic formulary
- Panel and insurer claim forms
- Medical reports for insurers and employers
- Clinic SOPs
Example Questions
What is our clinic protocol for a paediatric fever with rash?
SourceClinic protocol CP-07, section 3
Summarise this patient's last three lab results in a table.
SourceThree lab reports, values with dates
Which panel companies require pre-authorisation for MRI?
SourcePanel agreements, 3 matching clauses
Draft a referral to orthopaedics from today's note.
SourceToday's consultation note
Illustrative questions. Document names and references are examples.
One workflow, automated end to end.
Consultation to referral, run by an AiServa workflow agent with a human approval step. How workflow automation works.
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01 AI
Doctor types quick notes after the consultation
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02 AI
Note structured in the clinic template
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03 Human
Doctor reviews and signs the note
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04 AI
Referral letter drafted from the note and labs
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05 Human
Doctor approves and prints or sends
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06 AI
Record and log updated
What doctors and clinics use.
See Every CapabilityAI Agent
An agent that finishes the task, not a chat box.
Clinical Letters and Notes
Paperwork drafted for the clinician to sign.
Knowledge Bases
Ask your own documents, get the source.
OCR Reader
Scanned PDFs, readable.
Roles and Record Levels
Everyone sees only what they should.
Company-Wide Knowledge Base
One place to ask about every policy and procedure.
Confidential by where it runs.
Patient information is sensitive personal data under Malaysia's Personal Data Protection Act 2010 and subject to medical confidentiality. With AiServa it is processed only on a server the clinic owns and controls, access is limited by role, and every use is logged. AiServa is a documentation and knowledge tool: it does not diagnose, prescribe or make clinical decisions.
Questions Doctors and Clinics Ask
Does AiServa make diagnoses?
No. It drafts documentation and searches the clinic's own approved material. Every clinical decision, and every note and letter, is reviewed and signed by the doctor.
Where is patient data stored?
On the AiServa server in the clinic, alongside your existing records. It is not sent to an outside AI provider and is not used to train any model.
Can reception and nurses use it too?
Yes, with role-based access. Front desk staff can use claim and admin tools without access to clinical notes, for example.
Create your own AiServa workspace.
Free for 14 days with every feature. Sign up, pair your own AI server or add your own cloud keys, invite your team and give the AI Agent a real task.