How Hospia cut no-shows 38% with WhatsApp AI
A 250-bed multi-specialty group deployed our WhatsApp AI agent for appointments, prep, and follow-ups across 17 specialties. No-shows fell 38% in 8 weeks; nurses reclaimed 21 hours per week.
Measurable impact
-38%
No-shows
22% → 13.6%
+21 h/wk
Nursing time reclaimed
0 h/wk → 21 h/wk
instant
Median AI reply time
— → 3.4 s
96%
Patient CSAT post-deployment
— → 96%
+Rs 1.1 Cr
Annualised revenue saved
0 → Rs 1.1 Cr
17
Specialties live
0 → 17 in 6 weeks
Where Hospia, 250-bed multi-specialty hospital chain was stuck
Hospia's central front desk was drowning in WhatsApp messages and calls — 11,000+ inbound queries per week across 17 specialties. No-shows averaged 22%, costing the chain Rs 1.4 Cr in revenue annually. Reminder calls were inconsistent; specialty-specific prep instructions were skipped half the time.
What we built and deployed
We deployed our WhatsApp AI agent on top of WAHA + n8n with custom RAG over the hospital's specialty guidebooks. The agent confirmed appointments 24 hours and 2 hours ahead, sent specialty-specific prep checklists, escalated complex queries to the right department, and ran a 7-day post-visit nurture flow. We integrated with Hospia's HIS for real-time appointment data, and built a clinician dashboard for review and analytics.
Patients now feel like they're being held — by a hospital that remembers their preferences, sends prep instructions in their language, and nudges them when something matters. The clinical team finally has bandwidth.
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