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CareLoop · Patient marketing automation

Missed calls answered. No-shows recovered. Reviews replied to.

An AI voice agent, WhatsApp automation, and attribution that tells you which rupee of ad spend actually worked — in ten Indian languages.

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  • NMC compliant
  • 10 Indian languages
  • No credit card

Everything CareLoop does

Eight ways to close the loop.

From the first missed call to the Google review you forgot to ask for. Every message compliant with NMC advertising rules, DPDP data law, and TRAI DLT registration.

  • 10+ Indian languages
  • NMC compliant
  • DPDP ready
  • TRAI DLT

  1. 01 · AI agent

    AI voice agent

    A voice agent that picks up the phone when your reception can't — in the patient's own language. NMC-compliant, rate-limited, and always logged for audit.

    • Hindiहिन्दी
    • Tamilதமிழ்
    • Teluguతెలుగు
    • Kannadaಕನ್ನಡ
    • Bengaliবাংলা
    • +5 more

  2. 02 · Rescue

    Missed call recovery

    Every unanswered call triggers an AI callback within a minute. If the patient doesn't pick up, they get a WhatsApp message with a booking link.

    Callback window≤ 60 seconds

  3. 03 · Messaging

    WhatsApp automation

    Confirmations, reminders, post-visit feedback, and recall campaigns — all sent over a consented, rate-limited WhatsApp Business channel.

    ChannelTRAI DLT registered

  4. 04 · Show-up rate

    Reminders & no-show rescue

    A three-nudge reminder cycle before the appointment, plus an automated rescue flow when a patient doesn't show — offering rebooking or a same-day slot.

    No-show rate30–40%15–20%

  5. 05 · Retention

    Patient recall campaigns

    Bring lapsed patients back with structured outreach tied to diagnosis and last-visit date — cardiology follow-ups, pediatric boosters, annual check-ups.

  6. 06 · Reputation

    Reviews + AI replies

    After every visit, patients get a calibrated review prompt. Google reviews get AI-drafted replies in your hospital's voice, ready to approve in one tap.

  7. 07 · Referrals

    Doctor referral tracking

    Every referred patient is attributed back to the referring doctor or clinic — so you stop losing 60% of the referrals you already pay for.

  8. 08 · Attribution

    ROI attribution

    Know exactly which channel brought each patient — WhatsApp, Google search, referrals, walk-ins. Stop flying blind on your marketing spend.

    New patients · last 30 days

    ₹2,400avg cost per acquisition

    Every new booking tagged to the channel that brought it.

    • WhatsApp42%
    • Google28%
    • Referrals18%
    • Direct12%

The CareLoop, end to end

From first call to first referral.

Nine touchpoints across three channels — AI voice, WhatsApp, SMS — one closed loop. Reception is never the bottleneck, and no patient slips through between visits.

  1. Phase 01Acquisition
    Inbound · unanswered

    Missed call

    A patient tries to book and the line rings out — reception is busy, or it's after hours.

    AI voice

    AI callback

    The AI dials back in under a minute — in the patient's language — so one missed ring never costs you the booking.

    WhatsApp

    WhatsApp opt-in

    The patient accepts a WhatsApp opt-in on the same call; every future message is consented, logged, and compliant.

  2. Phase 02Conversion
    WhatsApp

    Appointment booked

    Doctor, date, time — confirmed on WhatsApp with a one-tap reschedule link in case anything changes.

    WhatsApp

    Reminder sent

    Three gentle nudges: 48 hours out, 24 hours out, and two hours before — so the slot is not a guess on visit day.

    In person

    Visit

    The patient walks in and sees the doctor. The one moment in nine that stays entirely human.

    CareLoop steps aside

  3. Phase 03Retention
    WhatsApp

    Post-visit recall

    A check-in on the follow-up date — prescription refill, test results, the next consultation — before the patient forgets.

    SMS

    Review request

    A timed SMS nudging a Google review, with an AI-drafted reply ready in your dashboard the moment the review lands.

    Dashboard

    Referral tracking

    Every referral this patient sends is attributed back — to the doctor, the clinic, the marketing campaign, the channel.

Under the hood

Built for the phone call, not the search bar.

Speech to text, LangGraph reasoning, text to speech — wrapped in guardrails that keep reception calm and patients safe.

Ten Indian languages + English

Native pronunciation · dialect-aware · streaming synthesis

  • हिन्दीHindi
  • தமிழ்Tamil
  • తెలుగుTelugu
  • ಕನ್ನಡKannada
  • বাংলাBengali
  • मराठीMarathi
  • ગુજરાતીGujarati
  • മലയാളംMalayalam
  • ਪੰਜਾਬੀPunjabi
  • ଓଡ଼ିଆOdia
The call pathtrace · call-14827
  1. 00:00.0INBOUND+91 ••• ••• 4827 · missed at 11:42
  2. 00:00.2STT12 tokens · lang=hi-IN · conf=0.94
  3. 00:00.4INTENTbook_appointment · entity.doctor="Sharma"
  4. 00:00.6POLICYNMC · TCCCPR · passed
  5. 00:01.1LANGGRAPHplan=check_calendar → propose_slots
  6. 00:01.6TTSreply synthesized · lang=hi-IN · 4.2s
  7. 00:04.2OUTCOMEslot_reserved · notification_queued

Every call is logged as structured events — token counts, intents, policy decisions — never raw audio or transcripts. The number is masked at ingest; PII never reaches the log.