The Basics

What is a Healthcare AI Agent?

More than a chatbot. It understands a question, finds the answer in your clinic's own data, takes action, and hands off to a human when needed β€” all over WhatsApp, 24/7. A dedicated agent serves each side of your clinic: patients, medical staff, and management.

One platform β€” fewer no-shows, more revenue, everyone helped.

Patients
01

Patients

β€œI don't have to wait anymore.”

No busy phone lines or long queues β€” patients just chat on WhatsApp for appointments, results, refills, and bills. Smart reminders mean fewer no-shows and recovered revenue.

Medical Staff
02

Medical Staff

β€œThe answer I need is seconds away.”

Ask the agent and get cited answers from the clinic's own SOPs, formulary, and emergency codes β€” less paperwork, more time with patients.

Ops & Management
03

Ops & Management

β€œI see the clinic's state without waiting for a report.”

Ask in plain language β€” occupancy, claims, performance β€” and get report-ready answers instantly, while routine front-desk questions handle themselves.

Β§ ROI Calculator

How much revenue
slips away?.

Every after-hours message that goes unanswered and every patient who never shows up is someone you already attracted β€” but never billed. That's revenue slipping away: demand you worked to create, lost at the very last step because no one was there to reply or remind.

Slide your clinic's numbers and see the revenue Qlar's agent could capture on WhatsApp β€” from after-hours inquiries to no-show recovery.

Your clinic profile

drag to adjust
Patient inquiries / month(WhatsApp & chat)1.500
10010.000
Inquiries unanswered today(after-hours / queued)35%
0%70%
Inquiry β†’ booking conversion40%
5%90%
Average value per visit$22
$3$188
Current no-show rate20%
0%50%
Revenue captured / monthgross
$5,531

Lost demand + no-show recovery

Extra bookings / month

206

from inquiries now served 24/7

No-shows saved / month

47

via automated WhatsApp reminders

Value composition$5,531 / mo
Captured demand$4,502No-show recovery$1,029

Estimated Qlar cost / month

$294

@ $1 / booking handled

Net gain / month

$5,237

after Qlar cost

For every $1 you spend, estimated return as net gain:

18Γ—

The estimate projects inquiries previously lost (after-hours / queued) into bookings as the agent responds 24/7, plus no-show recovery through automated reminders. Figures are illustrative and verifiable against your provider data within 30 days.

Β§ How it works

One platform,
an agent for everyone you serve.

The revenue above isn't recovered by magic. Qlar puts a dedicated AI agent in front of each group your clinic serves β€” all sharing the same knowledge and plugged into the systems you already run β€” so no inquiry, reminder, or question is ever dropped.

CHANNELSAGENT LAYERDATA & KNOWLEDGEINTEGRATIONSQLAR AGENT PLATFORM β€” shared knowledge Β· guardrails Β· consoleINTEGRATION GATEWAY Β· REST / MCP / WEBHOOKSPatientsWhatsAppMedical StaffWeb / WhatsAppAdmin & ExecutiveWeb PortalPatient ConciergeAgentBooking Β· billing Β· serviceinfo Β· remindersTriage AgentSymptom screening &routes to right doctorHumanHandoffEscalate to on-dutynurse / doctorMedical StaffAgentSOP Β· protocols Β·formulary (cited)Admin & ExecutiveAgentOccupancy Β· claims Β·doctor BI Β· NL Q&AClinic DBServices Β· pricinghours Β· branchesDoctor DBProfiles Β· schedulesspecialtiesScheduling DBAppointment slots& queueKnowledge BaseSOP Β· guidelinesformularyOps & BI DataOccupancy Β· claimsperformance Β· KPIsWhatsAppMessaging APIHISHospital Info SystemEMRElectronic recordsLISLab resultsPACSImaging / radiologyBPJSInsurance / claimsUser channelAgent-to-agentRead / write dataHuman escalationExternal integration
Patients

Always-on, never on hold.

Patients book appointments, refill prescriptions, and get billing answers on WhatsApp β€” at 3am or during peak hours, in their language.

Appointments & queueBilling & insuranceSymptom screeningCare reminders
Medical Staff

Every protocol, cited.

Doctors and nurses get cited answers from your real SOPs, drug formulary, and emergency codes β€” directly in Web or WhatsApp.

SOP & protocol lookupDrug formulary checksEmergency code lookupOnboarding companion
Admin & Management

Your hospital, in plain English.

Directors and finance ask their hospital data in natural language β€” occupancy, claims, performance β€” and get cited, board-ready answers.

Occupancy & LOSClaim trackingDoctor performanceLive Insurance Q&A

Β§ BACKOFFICE INTEGRATION

One conversation.
Wired to your clinic system.

Every reply pulls live data β€” doctors, schedules, bookings. Sarah talks to your backoffice so your patients don't have to.

Scripted demo. No patient data is stored. Production agents are trained on your clinic's doctors, schedules, and services.

Q
Healthcare Provider
online Β· replies in seconds
Today
I'd like to book an internist tomorrow morning near Jalan Sudirman.
09:14
Dr. Hendra (Internist) is available at Avara Sudirman:
β€’ Tomorrow Β· 09:00
β€’ Tomorrow Β· 10:30

To book, please share:
β€’ Your name
β€’ Phone number
β€’ Chief complaint
β€’ Insurance (if any)
09:14
Ahmad Fauzi, 08123456789, headache & fever, BPJS
09:15
Booking summary:
β€’ Dr. Hendra Β· Internist
β€’ Avara Sudirman Β· Tomorrow 09:00
β€’ Ahmad Fauzi Β· BPJS
β€’ Complaint: headache & fever

Reply YES to confirm.
09:15
YES
09:15
All done! βœ“
β€’ Dr. Hendra Β· Avara Sudirman Β· Tomorrow 09:00
β€’ Reminders: 24 hrs & 2 hrs before.

See you tomorrow!
09:15
Type a message...
0.8s response time

Β§ AGENT REASONING

What runs behind the chat

Each reply classifies intent, calls the clinic's API, and composes the response β€” not a scripted chatbot.

Patient wants an internist near Sudirman tomorrow morning β€” searching doctor availability by specialty and branch location.

POST/api/v1/agent/doctors/availability

Intent Β· DOCTOR_SEARCH

Filtering: specialty=Internist, location=Sudirman, date=tomorrow, time=morning

Patient provided name, phone, complaint, and insurance β€” creating the reservation record.

POST/api/v1/agent/reservations/book

Intent Β· BOOKING_REQUEST

Booking: Dr. Hendra Β· Sudirman Β· Tomorrow 09:00 Β· Ahmad Fauzi Β· BPJS

Patient confirmed β€” updating reservation to Confirmed and scheduling WhatsApp reminders.

POST/api/v1/agent/reservations/{code}/confirm

Intent Β· BOOKING_CONFIRM

Reservation confirmed Β· 2 reminders scheduled: DayBefore & HoursBefore

Why Qlar for
Healthcare?

Built for the realities of Indonesian clinics and hospitals.

01 / Domain
Healthcare-specific agent
Not a generic chatbot. Purpose-built for clinical workflows, medical terminology, and patient safety from day one.
02 / Knowledge
Cited medical knowledge
Your SOPs and formulary plus whitelisted sources β€” Ministry of Health, PNPK, IDAI, PERKI. Every answer cites.
03 / Orchestration
Multi-agent orchestration
Specialized agents β€” triage, scheduling, billing β€” coordinate behind a single conversation. Each an expert in its task.
04 / Channel
WhatsApp-first deployment
Patients already live on WhatsApp. No app, no learning curve β€” instant adoption.
05 / Engagement
Proactive patient reminders
Automated WhatsApp nudges for medication, check-ups, and vaccinations.
06 / Integration
Insurance & HIS integration
Real-time access to patient, billing, and operational data via REST or MCP.
07 / Safety
Safe handoff, role-based access
Escalate to on-duty staff with full context. Doctors, nurses, admin, patients β€” each get tailored access.
08 / Velocity
No-code build & validate
Configure your agent, test against real scenarios, and ship updates β€” no coding required, anytime you need.
09 / Outcomes
Measurable ROI
Track deflected calls, hours saved, and revenue recovered. Every conversation maps to a measurable outcome.
Β§ Get started

From zero to deployed
in 4 steps.

No months-long implementation. Your first AI care agent can be live this week.

From Zero to Deployed in 4 Steps

Your first care agent,
live this week.

No months-long implementation. No external dev team. No surprises.

01Template

Pick a healthcare template

Choose from Patient Concierge, Triage Assistant, SOP Lookup, or Insurance Guide β€” ready for clinics and hospitals.

02Connect

Upload knowledge & connect systems

Upload your SOPs, tariff sheets, and protocols, then connect your HIS. Qlar turns everything into a searchable, citeable knowledge base.

03Customize

Customize brand and language

Name your assistant, add your logo, set the tone, and configure escalation rules for nurse or doctor handoffs.

04Deploy

Deploy across channels

Go live on WhatsApp, website widget, mobile app, or staff portal β€” all from one configuration.