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From surgery advised to surgery booked.

Every patient your surgeons advise gets a call, a message and the right person at the right desk, until they are admitted or tell you why not.

The follow-up runs itself, and every barrier lands on the desk that owns it: insurance, finance, clinical, admission.

Every advised patient is reached in Hindi or English, on the phone or on WhatsApp, and their worry reaches someone who can answer it.

Voice and WhatsApp in Hindi and English, from one playbook, reaching the patients a busy OP desk never gets back to.

My role

Journeys you can see.

Your team sets the playbook: the stages, the desks, the follow-up days. The AI runs it as one loop, patient by patient, until they are admitted or say no.

Tap a stage to see who acts there.

Concern identified, routed to a humanNot booked yetRe-engageBookedNew referralSurgery advisedINPUTSurgery bookedDate and desk confirmedIDEAL OUTCOMEFALL-OUTSDeclinedAn explicit no, at any stageNo responseNurture exhaustedEngageAI voice and WhatsAppResolveYour desks, your peopleFollow upAI chase, then nurture
Engage
  • AI voice agent
  • AI WhatsApp agent
  • Hindi and English, on the patient’s own channel
  • Listens for what is holding them back

Watch one patient come back.

Ramesh Kumar, 58, was advised a knee replacement on Thursday. Here is what happens next, from the first missed call to his bed on the ward.

Day 0Thursday, 19:42. The first call goes unanswered. The WhatsApp message goes out in the same minute, and both count toward one follow-up ladder.

19:42
Thursday
Missed call

Your hospital · Patient support

Your hospital

Hello Ramesh, this is the patient support team at the hospital. We tried calling you about your visit to Dr Anjali Mehta. Is there anything we can help with? Just reply here, or tell us a good time to call.

19:42
Your hospital
Patient support · mobile
slide to answer
19:42
Your hospital · Patient support
00:00
Patient support

Hello, may I speak with Ramesh?

Ramesh

Yes, speaking.

Patient support

Is there anything we can help you with for the next step?

Ramesh

I do want the operation, I’m just not sure about the insurance. Will it be cashless?

Patient support

If you are thinking about going ahead, roughly when would that be?

Ramesh

By next month, if the insurance comes through.

Patient support

I am calling to check whether you have heard back about the help you were waiting for after your visit to Dr Anjali Mehta.

Ramesh

Yes, I heard back. The insurer has approved the pre-auth.

Patient support

Is there anything still pending that we can help move along?

Ramesh

Let’s fix the date now.

09:14
Your hospitalPatient support
Yesterday

Hello Ramesh, this is the patient support team at the hospital. We tried calling you about your visit to Dr Anjali Mehta. Is there anything we can help with? Just reply here, or tell us a good time to call.

Call meMessage me hereNo help needed
Today

Saw this in the morning. Couldn’t pick up yesterday.

Thank you for speaking with our counsellor about your treatment with Dr Anjali Mehta. We have noted what is on your mind and our team is working on it.

Call me Monday morning. My son will have the insurance papers by then.

We are checking in about the date planned for your knee replacement. Is everything in place, or would you like help with anything?

All in placeI need helpChange my date
Tapped “Call me” · calling nowBarrier: insurance
Patient record
Ramesh Kumar
58 · Total knee replacement (R) · Dr Anjali Mehta
Stage
Front door
With
Voice and WhatsApp agents
Interest
Timeline
Barrier
Needs
Call back
Surgery
Follow-ups
New Surgery-Advised Patient
New referrals
Insurance
Admission
Your hospitalOP referral
Ramesh Kumar
Age
58
Advised
TKR (R)
Date
Thu 15 Oct
OP-24-1187
Barrier · InsuranceTimeline · within 30 daysNeeds · insurance_teamCall back · Monday morning

Not just an AI bot. AI-native CRM that does everything.

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Referrals arrive from your HIS or EHR

The moment a doctor advises surgery, the patient is in: a live feed from your hospital system, or a CSV import mapped once. Send the same patient twice and it is still one journey.

Nothing to export. No second tool. Every journey, run from one place.

Your hospital · HIS / EHR
OP-24-1187Ramesh KumarTKR (R) · Dr MehtaSurgery advised
OP-24-1186Sunita SharmaTHR · Dr Rohan IyerIn a journey
OP-24-1185Vikram SinghArthroscopy · Dr MehtaIn a journey
Ramesh Kumar
SourceHIS · OP-24-1187
ProcedureTotal knee replacement (R)
DoctorDr Anjali Mehta
AdvisedThu 15 Oct
New Surgery-Advised Patient
OP-24-1187OP-24-1187
First call queuedSent twice, one journeyOr import a CSV, mapped once

What this could mean for your hospital.

180
10%
₹2.5 lakh per admission

1841admissions a month: today, then with CareLoop+23 on top of the 18 you admit today

₹6.96 croremore revenue a yearConversion from 10% to 22.9%

The projection starts from what you admit today (patients advised × your conversion) and lifts your conversion to 22.9%, the share of finished journeys in the CareLoop demo cohort that ended in admission. Your results depend on your patients and your team.

Overnight

Outside calling hours, no patient is called. By morning, every open patient has a next step.

276 of 276 open patients in the demo cohort had a next step scheduled.

Bed 12 Ramesh Kumar was admitted yesterday morning.

Every advised surgery, followed through.

See CareLoop run on your own playbook, in your patients’ languages.

Your hospitalDemo request