IndiaDigital health marketplaceLaunch · $50K
Practo

Practo built appointment booking for India — an agent that fills, confirms, and rescues those appointments completes the loop

Practo's marketplace economics depend on completed consultations, not just bookings; an agentic confirmation, reminder, and slot-rescue layer raises completion rates for tens of thousands of listed clinics — becoming a sellable feature of Practo's own SaaS.

Entry use case
Appointment confirmation, reminders & slot-rescue for clinic bookings
Expected outcome
Lift consultation completion rates by confirming conversationally, rescuing cancellations into rebooked slots, and reminding in the patient's language — value both Practo and its clinics can measure.
Recommended next step
A Launch pilot on confirmation and slot-rescue across two metro specialties, measuring completion-rate delta against control clinics, with a Ray productization review at week 10.
What we understand

Practo's operating reality

Practo is India's leading doctor-discovery and appointment marketplace, offering teleconsultations, diagnostics, and the Ray practice-management SaaS for clinics.

Public fact

Its model spans consumer bookings and B2B clinic software — meaning conversational infrastructure can be monetized on both sides.

Public fact

Marketplace appointment no-shows hurt three parties at once: the patient's care, the doctor's utilization, and Practo's take-rate and reputation with clinics.

Reasoned inference

Small-clinic front desks are the weakest link in confirmation and reschedule handling; an automated layer likely outperforms them consistently.

Seller hypothesis — validate

Validate with the account team before outreach: Current no-show/completion rates by specialty and city · Practo's in-house AI roadmap (it has shipped AI-assisted features) and partnering appetite · Commercial model preference: Practo-funded vs. clinic-billed feature

Build vs buy

Why we have a right to win here

Partner-led target

Technically capable but needs industry workflows, integration, acceleration, or managed operations

Evidence: Practo is a product company that has shipped AI-assisted features, but it is small relative to the hospital chains it serves and its engineering bandwidth is committed to the marketplace and Ray roadmaps. Partnering lets it productize conversational infrastructure into Ray without building a voice/telephony stack.

Why they won't build the full stack: Two-way voice confirmation at clinic scale needs telephony operations, vernacular speech, and evaluation ops — heavy infrastructure for a lean product org. White-labeling a partner platform into Ray premium tiers gets the feature to market in one quarter instead of building for a year.

What management is signalling

Reported focus on profitability and monetization of the clinic-software (Ray) side of the marketplace.

InferenceRecent investor communications (validate) · 2025-2026

GTM implication: Pitch agentic confirmation as a Ray premium feature with revenue share — a product-margin story, not a cost-center purchase.

What already exists (don't pitch this)
  • Consumer booking platform and app
  • One-way appointment reminder notifications
  • Ray practice-management SaaS for clinics
  • Teleconsultation platform
What customers still can't do end-to-end (pitch this)
  • →Two-way confirmation, reschedule, and slot-rescue conversations
  • →Vernacular voice for patients beyond app notifications
  • →Clinic front-desk automation for Ray customers
  • →Diagnostics prep and report-delivery coordination
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Confirmation, reminders & slot-rescue
Two-way confirmations, one-tap reschedules, and cancelled slots re-offered to waitlisted patients.
Completed consultations are the unit of marketplace value; every no-show erodes clinic trust in Practo.
Friction today: Reminders are one-way notifications; cancellations rarely convert into rebooked slots.
WhatsAppVoiceApp
Teleconsult intake & follow-up
Conversational pre-consult intake summaries and automated follow-up scheduling, with clinical boundaries enforced.
Teleconsults need structured pre-consult intake and post-consult follow-through to feel legitimate.
Friction today: Doctors spend consult minutes collecting history; follow-ups are left to patients.
App chatWhatsApp
Diagnostics booking & report delivery
In-channel lab booking, prep guidance, and report-ready notifications.
Diagnostics attach revenue to consultations and drive repeat platform use.
Friction today: Lab slot booking and report-status queries generate support tickets.
WhatsAppApp
Watch the change

Appointment confirmation, reminders & slot-rescue for clinic bookings: today vs the agentic model

Scenario: A dermatology appointment booked for Saturday morning goes unconfirmed, the patient silently no-shows, and the clinic's 11am slot — and Practo's credibility with that doctor — is 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
WhatsAppVoiceAppApp chat

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 · Practo
Practo booking platformClinic calendars (Ray)Teleconsult platformEHR-lite recordsLab-partner APIsBooking platform

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

Trust & languages
EnglishHindiKannadaTamilTeluguMarathi

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 interactions300K
Seller assumption — replace in discovery
Current cost per interaction ($)$0.8
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$240K
Current operating cost / mo
$891K
Modelled gross benefit / yr
0.7 mo
Payback on Launch
123%
3-yr ROI (modelled)
Automated/assisted interactions per month165K
Modelled AI run-cost per month (usage + cloud, system estimate)$58K
New monthly operating cost$166K

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 Practo's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Launch — $50K implementation

Launch · $50K · A focused, fast production pilot8–10 weeks to a live, measured pilot

Why this package for Practo: One workflow (confirmation/reminder/rescue) integrated to Practo's own booking platform is a clean Launch pilot; expansion into Ray practice-software clinics is the natural second phase.

Included
  • Up to 3 channels
  • One priority workflow
  • Limited enterprise integrations (1–2 systems)
  • API credential & security setup
  • Core conversational + workflow configuration
  • Basic analytics
  • Controlled production pilot with defined success criteria
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Additional workflows
  • ✕Multi-geography rollout
  • ✕Managed operations
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: Practo booking platform, Clinic calendars (Ray), Teleconsult platform
  • · A named business owner for appointment confirmation, reminders & slot-rescue for clinic bookings
  • · Security review counterpart and policy sign-off (Practo booking platform scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“Practo's moat is trust on both sides of the marketplace. Completion-rate infrastructure strengthens both simultaneously — and becomes a feature you sell to every Ray clinic.”

CIO / CTO

“A Launch-scoped integration against your own booking APIs — live in weeks, with clinical-boundary guardrails and full logs — before any decision about deeper platform embedding.”

COO

“Slot-rescue is found revenue: every cancelled slot re-offered to a waitlisted patient is utilization your clinics currently lose to front-desk bandwidth.”

Chief Product Officer

“This is productizable: agentic confirmation as a Ray premium feature gives clinics a reason to upgrade and gives Practo a conversational-infrastructure story competitors lack.”

Chief Risk / Compliance Officer

“Health-data handling is DPDP-compliant with explicit consent; the agent never advises clinically — routing and logistics only, with every conversation auditable.”

CFO / Procurement

“Launch-tier entry cost, and the pilot metric is direct: completion-rate delta on agent-managed bookings versus control clinics, readable in eight weeks.”

Outreach

Pre-built offer emails for Practo

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 3 — longer-term / partner-led

Why this tier

India's best-known doctor-discovery and teleconsultation marketplace — strategically visible and appointment-native, but with marketplace-scale (not hospital-scale) volumes and a leaner budget profile; ideal lighthouse for the appointments motion.

Recommended next step

A Launch pilot on confirmation and slot-rescue across two metro specialties, measuring completion-rate delta against control clinics, with a Ray productization review at week 10.

Entry: Appointment confirmation, reminders & slot-rescue for clinic bookings · Launch package · 8–10 weeks to a live, measured pilot. 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.