IndiaHealthcare — hospitals & health insuranceScale · $100K
Narayana Health

The hospital that engineered surgery costs down now gets its conversations engineered the same way

Give Narayana Health an agentic layer matched to its efficiency DNA: appointment and pre-surgical coordination at cardiac-program volume, plus member servicing for its new insurance arm — every conversation at a cost per interaction as disciplined as its cost per procedure.

Entry use case
Appointment & pre-surgical coordination conversations
Expected outcome
Higher OPD and surgical-schedule utilization; fewer prep-related cancellations; insurance-member queries served without building a parallel call center.
Recommended next step
Dual pilot: pre-surgical prep conversations for the Bengaluru cardiac program plus conversational member servicing for new Aditi cohorts, measured on prep-failure cancellations and cost per member served.
What we understand

Narayana Health's operating reality

Founded by cardiac surgeon Dr. Devi Shetty; ~20+ hospitals with globally studied high-volume, low-cost cardiac surgery economics (thousands of cardiac procedures annually at a fraction of Western costs).

Public fact

Entered health insurance via Narayana Health Insurance: 'Aditi' (launched 2024, ~₹1 crore cover at aggressive price points, network-centric) and flagship 'Arya' (November 2025) — a vertical-integration strategy tying coverage to its own delivery network.

Public fact

Strong Karnataka and eastern-India (Kolkata) footprints make Kannada and Bengali core alongside Hindi and English; patients travel from across India and abroad for cardiac care.

Public fact

High-volume surgical scheduling makes prep-compliance (fasting, medications, documents) conversations operationally critical — a missed instruction cancels an OT slot.

Reasoned inference

The young insurance arm must service members at a cost structure consistent with its aggressive pricing — a conversational-first service model rather than an inherited call-center one.

Reasoned inference

Validate with the account team before outreach: HIS and insurance-stack API readiness for grounding · Actual prep-failure and no-show rates in the surgical programs · Insurance-arm servicing roadmap and regulatory servicing requirements at scale

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: An operational-excellence institution, not a software builder; its technology is bought and its innovation is process design — a packaged conversational platform is exactly the kind of leverage it historically adopts and optimizes.

Why they won't build the full stack: Engineering effort belongs in clinical process; building speech and orchestration infrastructure would contradict the focus that makes the model work — buy the platform, engineer the workflow.

What management is signalling

Launched health-insurance products (Aditi 2024, Arya November 2025) as a strategic vertical-integration move tied to its delivery network

Reported factpublic launch announcements · 2024-25

GTM implication: A greenfield insurer inside a cost-leader — conversational-first member servicing is the model-consistent build, and the window to set it is now

Management consistently frames affordable scale and capacity expansion as the growth story

Inferencerecent investor communications (validate) · late 2025

GTM implication: Position conversation-cost engineering as the service-side analogue of their procedure-cost engineering

What already exists (don't pitch this)
  • Narayana Health app and portal
  • Telemedicine capability
  • Unit-level appointment lines
  • Young insurance arm (Aditi/Arya) with digital-first distribution
What customers still can't do end-to-end (pitch this)
  • →Pre-surgical coordination phone-and-memory based
  • →Follow-up capacity limited by clinical staffing
  • →Insurance servicing model still being built
  • →No network-wide vernacular conversational layer
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Appointment & pre-surgical prep coordination
Guided vernacular prep conversations with checklists, reminders, and travel-timing coordination; OT cancellations from prep failure measurably cut.
OT-slot utilization is the economic engine; prep failures and no-shows waste the scarcest capacity in the system.
Friction today: Prep instructions delivered verbally at OPD get forgotten; outstation patients coordinate travel, tests, and admission by phone tag.
WhatsAppVoice
Insurance member servicing (Aditi / Arya)
Grounded member conversations on coverage, network hospitals, and claim steps from day one — service capacity that scales with enrollment, not headcount.
The insurance arm's economics depend on lean servicing; building a conventional call center would import the cost structure the products were designed to escape.
Friction today: New members ask coverage, network, and claim-process questions that would otherwise require staffing a growing service desk.
WhatsAppVoice
Post-surgical follow-up & adherence
Automated vernacular follow-up with adherence nudges and review booking; clinical flags routed to nursing teams.
Cardiac outcomes depend on medication and review adherence; follow-up quality is clinical reputation at volume.
Friction today: Follow-up calls compete with staff clinical duties; outstation patients drop out of review schedules.
WhatsAppVoice
Watch the change

Appointment & pre-surgical coordination conversations: today vs the agentic model

Scenario: A farmer's family traveling from Hassan for his bypass gets Kannada reminders covering fasting, reports to carry, and when to leave home — and the OT slot is never wasted
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
WhatsAppVoice

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 · Narayana Health
HIS schedulingPre-surgical protocolsPolicy adminNetwork directoryClaims workflowHISCare-plan protocols

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

Trust & languages
KannadaBengaliHindiEnglishTamilTelugu

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 interactions1.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$1.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.0M
Current operating cost / mo
$4.3M
Modelled gross benefit / yr
0.3 mo
Payback on Scale
182%
3-yr ROI (modelled)
Automated/assisted interactions per month550K
Modelled AI run-cost per month (usage + cloud, system estimate)$193K
New monthly operating cost$643K

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 Narayana Health'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 Narayana Health: Two-three workflows (appointments/pre-surgical, follow-up, insurance member servicing) across voice and WhatsApp — scale scope consistent with a cost-disciplined adopter that will measure everything.

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, Pre-surgical protocols, Policy admin
  • · A named business owner for appointment & pre-surgical coordination conversations
  • · 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

Founder / Chairman

“Narayana proved world-class care can cost less through process engineering; conversations are the next process — engineered to the same standard, in every patient's language.”

CIO / CTO

“One layer grounds on HIS and the new insurance stack — the greenfield insurance arm can be conversational-first from day one instead of retrofitting later.”

COO

“Prep-failure cancellations and follow-up gaps are utilization leaks; guided conversations close them at a per-interaction cost that fits the house model.”

CEO — Narayana Health Insurance

“Member servicing scales with enrollment at near-zero marginal cost — the only service model consistent with Aditi's price points.”

Chief Risk / Compliance Officer

“IRDAI-conformant insurance servicing and DPDP-compliant patient data handling, fully logged, with clinical questions always escalated to qualified staff.”

CFO / Procurement

“Measure it like a procedure: cost per resolved conversation, OT slots saved, members served per rupee — the metrics this institution already lives by.”

Outreach

Pre-built offer emails for Narayana Health

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

Dr. Devi Shetty's affordable-care network — world-scale cardiac volumes at radically low cost — now vertically integrating with its own health-insurance products (Aditi, Arya); process efficiency is the business model, making conversation-cost engineering a natural fit.

Recommended next step

Dual pilot: pre-surgical prep conversations for the Bengaluru cardiac program plus conversational member servicing for new Aditi cohorts, measured on prep-failure cancellations and cost per member served.

Entry: Appointment & pre-surgical coordination conversations · 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.