IndiaHospitals — north India networkScale · $100K
Max Healthcare

Max is nearly doubling its beds by 2028 — every new tower fills through conversations its call centers already can't keep up with

Max's growth model is brownfield beds that must ramp occupancy fast; an agentic layer for appointment booking, OPD coordination, and international-patient first response converts inquiry demand into filled slots and admitted patients across the network, in the patient's language, around the clock.

Entry use case
Appointment booking, reminders & no-show reduction across the network
Expected outcome
Fill specialist and diagnostic slots via conversational booking with reminders and one-tap reschedules, cutting no-shows and accelerating the occupancy ramp of newly commissioned towers.
Recommended next step
Pilot appointment booking and reminders at two flagships (Saket, Mohali) with a no-show baseline, and a parallel international first-response pilot for two source markets, under a jointly-defined clinical-boundary policy.
What we understand

Max Healthcare's operating reality

Max Healthcare operates around 5,000 beds across north-India metros and is expanding toward roughly 9,500 beds by 2028 through brownfield towers (Nanavati Mumbai, Mohali, Saket) and new projects.

Public fact

Recent quarters show strong growth — Q1 FY26 revenue up ~27% year-on-year with occupancy around 76% and expanding margins.

Public fact

International patient revenue grew ~32% recently to about 9% of hospital revenue, supported by presence across 13 countries via company and partner offices.

Public fact

In a high-fixed-cost hospital model, unfilled OPD slots and no-shows are direct margin leakage — and newly commissioned towers make slot-fill velocity the metric the expansion thesis depends on.

Reasoned inference

A large share of call volume is likely non-clinical — bookings, reports, directions, estimates — and international inquiries likely lose cases to competing hospitals on first-response speed across timezones.

Seller hypothesis — validate

Validate with the account team before outreach: HIS scheduling API readiness across units (legacy variance between acquired hospitals) · No-show and slot-utilization baselines by specialty and unit · International-patient funnel metrics: inquiry-to-case conversion and current first-response times

Build vs buy

Why we have a right to win here

Buy-led target

Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution

Evidence: A hospital operator whose technology estate (HIS, LIS, CRM) is bought from healthcare-IT vendors; there is no internal AI platform organization, and clinical governance culture strongly favors procured, auditable solutions with enforced boundaries over internal experimentation.

Why they won't build the full stack: Management bandwidth and capital are committed to the bed-expansion program; conversation automation is operational infrastructure, not clinical differentiation. Buying delivers multilingual coverage and governance-grade audit trails in months, which matters when new towers are commissioning on a schedule.

What management is signalling

Bed capacity expanding from ~5,000 toward ~9,500 by 2028 via brownfield towers, with recent quarters showing ~27% revenue growth and firm occupancy.

Reported factQ1 FY26 earnings materials · Aug 2025

GTM implication: Every new tower's occupancy ramp depends on appointment/OPD demand conversion — position the layer as expansion-execution infrastructure, not a call-center upgrade.

International patient revenue grew ~32% to about 9% of hospital revenue, backed by presence in 13 countries.

Reported factQ1 FY26 earnings call · Aug 2025

GTM implication: First-response speed is the controllable variable in international case wins — a 24/7 multilingual front desk is direct revenue capture on a stated growth line.

What already exists (don't pitch this)
  • Max MyHealth app with basic booking
  • Hospital-board call centers per unit
  • International-patient offices across 13 countries
  • One-way SMS appointment reminders
What customers still can't do end-to-end (pitch this)
  • →24/7 multilingual conversational booking and reschedule
  • →No-show rescue and chained OPD/diagnostics coordination
  • →Minutes-level international first response across timezones
  • →Proactive prep guidance and post-visit follow-up
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Appointment booking & no-show reduction
Conversational booking from live schedules, smart reminders, one-tap reschedule; no-show rate measurably cut.
Slot utilization drives the fixed-cost model; new towers must ramp occupancy on schedule.
Friction today: Hospital-board phone queues; reschedules restart the process; reminders are one-way SMS.
VoiceWhatsAppApp
OPD & diagnostics coordination
Multi-step visit coordination with prep guidance; diagnostics throughput and follow-up compliance raised.
OPD visits chain consultations, diagnostics, and follow-ups; coordination failures waste slots and stall care journeys.
Friction today: Patients self-navigate between departments by phone; prep instructions get lost.
WhatsAppVoice
International-patient first response & coordination
24/7 multilingual first response, structured case intake, and coordination with human case managers in the loop.
A ~9%-of-revenue growth line where first-response speed across timezones decides which hospital wins the case.
Friction today: Email chains with country offices; estimates and visa letters take days; no 24/7 conversational front door.
WhatsAppEmailVoice
Watch the change

Appointment booking, reminders & no-show reduction across the network: today vs the agentic model

Scenario: A patient's son in Lucknow calls at 8pm to book a cardiology OPD slot at Max Saket for his father plus a same-morning echo — the call center is closed and the web form promises a callback in 24 hours
Today
same interaction, two worlds
Agentic layer
No-show reduction
—
measured in pilot
Assumption
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · No-show reduction: Reminder-driven reductions vary by specialty; baseline first
  • · Cost per contact: Gartner customer service cost benchmarks, 2024
  • · QA coverage: Platform capability: every interaction logged and evaluated
  • · Gartner, customer service cost benchmarks (2024): $13.50 median assisted vs $1.84 self-service per contact
  • · McKinsey, digital-first collections research: 20–25% NPL reduction among leaders; up to 40% opex reduction with gen AI
  • · Baymard Institute: ~70% average cart abandonment (meta-analysis)
  • · IAMAI–Kantar via IBEF (2025): 900M+ Indian internet users; 98% consume Indic-language content
  • · LeadSquared and vendor funnel studies: 78% of students choose the first institution to respond (directional, vendor data)
  • · HDI / ITSM operator benchmarks: $15–25 per L1 ticket; 40–60% of L1 volume is resets/status (validate per customer)
  • · Conventional-flow wait times and volumes are typical operator patterns — assumptions to replace with the customer's own baseline
  • · Agentic-flow behaviors (context retention, 100% logging, in-line policy checks) are platform capabilities, not projections
Recommended solution

One integrated stack, opinionated for this account

Channels · Tilicho Labs
VoiceWhatsAppAppEmail

Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.

Intelligence · Google Cloud
Gemini reasoningEnterprise groundingWorkflow agentsMulti-agent orchestrationGoverned actionsEvaluation & analytics
Systems · Max Healthcare
HIS schedulingDoctor rostersCRMHISDiagnostics schedulingLISInternational-patient CRMEstimate systems

API access to these systems is the critical-path dependency.

Trust & languages
HindiEnglishPunjabiBengaliArabic

Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.

Business case

The economics, with your numbers

Addressable monthly interactions1.2M
Seller assumption — replace in discovery
Current cost per interaction ($)$1.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.2M
Current operating cost / mo
$5.1M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
182%
3-yr ROI (modelled)
Automated/assisted interactions per month660K
Modelled AI run-cost per month (usage + cloud, system estimate)$231K
New monthly operating cost$771K

All figures are modelling estimates from the labeled inputs above — nothing here is customer-provided yet. The pilot's first job is replacing these assumptions with Max Healthcare's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Scale — $100K implementation

Scale · $100K · A multi-channel production deployment10–14 weeks to production across priority workflows

Why this package for Max Healthcare: Appointments plus OPD coordination and the international-patient desk is a multi-workflow deployment across hospitals with strict clinical boundaries — Scale scope; Launch would leave the international growth line unserved.

Included
  • 4–6 channels
  • 2–3 priority workflows
  • Multiple enterprise integrations
  • API credential & security setup
  • Advanced orchestration
  • Multilingual support
  • Agent Assist / human escalation
  • Production analytics
  • Expansion roadmap
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Enterprise-wide governance build-out
  • ✕Multi-BU rollout
Recurring costs (separate from the package)

Packages cover implementation and integration only. Recurring costs are billed separately: Tilicho Labs platform usage (~$0.15/call-min indicative, usage only), Google Cloud consumption, telephony/carrier charges, managed operations, and support & optimization. No package includes unlimited usage.

Customer resources required
  • · API access + credentials for: HIS scheduling, Doctor rosters, CRM
  • · A named business owner for appointment booking, reminders & no-show reduction across the network
  • · Security review counterpart and policy sign-off (HIS scheduling scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO / MD

“The expansion thesis is beds that fill fast. Conversational booking and coordination is the demand-side machinery of that thesis — visible in occupancy ramps within quarters, not years.”

CIO / CTO

“The agent integrates with HIS scheduling and is hard-bounded: no diagnosis, no triage beyond routing — clinical questions always reach qualified staff, and every conversation is logged for governance review.”

COO

“No-shows and coordination failures waste the scarcest asset — specialist time. Reminders with one-tap reschedule and chained OPD coordination are the highest-certainty operational levers available.”

Head of International Business

“Medical-value-travel cases are won on first-response speed. A 24/7 multilingual front door that produces structured case files for your managers is direct revenue capture across 13 country markets.”

Chief Risk / Compliance Officer

“Health-data handling is DPDP-compliant with explicit consent; clinical boundaries are policy-enforced and auditable — designed jointly with clinical governance before any patient conversation.”

CFO / Procurement

“Model filled-slot recovery and no-show reduction against fixed costs, plus international-case conversion lift — the occupancy-ramp math on new towers makes payback unusually fast.”

Outreach

Pre-built offer emails for Max Healthcare

Written from this account's own research — the strategic signal, the capability gap, the entry workflow, and the modelled economics — not a mail-merge template. Pick the moment and the persona, edit anything, then copy or open in your mail client.

Moment in the deal
Cold outreach — no prior conversation
Who it's addressed to
Cares about: The workflow itself and its daily failure modes
Register
Length
Draft — edit freely before sending
Open in mail client

Customer-safe by construction: drafts are composed only from customer-facing fields. Account tier, build-vs-buy classification, priority score, internal routing, and partner-commercial detail are not inputs to the composer, so they cannot appear in a draft. Money figures are always framed as modelled from the customer's own volumes. Read before sending — you own what goes out.

The pursuit

Tier 2 — high-potential incubation

Why this tier

Leading north-India hospital network (~5,000 beds expanding toward ~9,500 by 2028) with premium metro flagships, a fast-growing international-patient business, and brownfield towers that must fill as they commission — appointment/OPD coordination volume is the occupancy ramp's bottleneck.

Recommended next step

Pilot appointment booking and reminders at two flagships (Saket, Mohali) with a no-show baseline, and a parallel international first-response pilot for two source markets, under a jointly-defined clinical-boundary policy.

Entry: Appointment booking, reminders & no-show reduction across the network · Scale package · 10–14 weeks to production across priority workflows. Human fallback throughout; success thresholds agreed before build.

Start the pursuit

Research-based priority-account universe assembled from public information, market scale, communication volume, and solution fit. This is NOT an authoritative list of top Google Cloud customers; existing Google Cloud relationships are noted only where publicly reported. Validate every account with the account team before outreach.