IndiaInsurtech — marketplace & brokingScale · $100K
PolicyBazaar

Every insurance lead engaged in minutes, qualified on rubric, and handed to a licensed advisor already warmed up

Put an agentic layer in front of PolicyBazaar's telesales floor: instant multilingual engagement, structured qualification, and renewal-book coverage — so licensed advisors spend their minutes only on closable conversations.

Entry use case
Lead qualification & advisor handoff
Expected outcome
Higher connect-to-qualified rates and lower cost per issued policy on health and term funnels.
Recommended next step
Run a 60-day A/B on the health-insurance funnel: agent-first engagement versus dialer-first, measuring connect, qualification, and issuance economics.
What we understand

PolicyBazaar's operating reality

India's largest online insurance marketplace (PB Fintech group), publicly known for a telesales-assisted model where advisors guide most health and term purchases to closure.

Public fact

Operates under IRDAI broking/intermediary regulations; advice and disclosures in sales conversations are conduct-regulated.

Public fact

Renewals are a publicly emphasized profitability driver — the renewal book compounds while acquisition costs stay heavy in new sales.

Public fact

Speed-to-lead and advisor-minute utilization are likely the two most-watched funnel metrics; unqualified connects are the biggest waste of licensed capacity.

Reasoned inference

Late-evening and weekend lead spikes likely outstrip advisor rosters, leaving high-intent leads to decay overnight.

Seller hypothesis — validate

Validate with the account team before outreach: Current speed-to-lead and connect-rate baselines by funnel · In-house AI/automation already deployed on the telesales floor · IRDAI conduct constraints on non-licensed conversational qualification

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: PB Fintech runs serious in-house funnel, CRM, and dialer technology and has publicly experimented with AI on the sales floor — but its engineering franchise is distribution-tech, not speech models, telephony, or conversation-evaluation infrastructure.

Why they won't build the full stack: Voice quality, telephony scale, and evaluation are exactly the components a telesales-tech team would take years to harden; a platform partner lets PB's engineers keep owning the funnel logic layered on top.

What management is signalling

Renewal income is repeatedly emphasized as the profitability engine of the business model

Reported factFY25 earnings commentary · mid 2025

GTM implication: Full renewal-book conversational coverage compounds the profit driver management already highlights every quarter

What already exists (don't pitch this)
  • Large-scale in-house lead CRM and dialer stack
  • App and web self-service for policy management
  • WhatsApp journeys for renewals and documents
  • Publicly discussed AI experimentation in the sales process
What customers still can't do end-to-end (pitch this)
  • →Qualification still consumes licensed-advisor minutes
  • →Night and weekend leads decay unworked
  • →The long-tail renewal book gets SMS only
  • →Vernacular voice automation absent
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Instant lead engagement & rubric qualification
Minutes-fast engagement in the lead's language, structured needs capture, and calendar-booked handoff to licensed advisors.
PB's economics improve directly with connect rate and qualification precision — every advisor minute on an unqualified lead is margin lost.
Friction today: Dialer-based callbacks miss working customers; qualification depth varies by advisor; night leads decay till morning.
WhatsAppVoiceWeb chat
Renewal-book coverage
Every renewal gets a two-way conversation with premium explanation and payment; advisors handle only objections.
Renewal commission is the profitability engine; full-book conversational coverage beats blast reminders on retention.
Friction today: Renewal outreach concentrates advisor time on high-ticket policies; the long tail gets SMS only.
WhatsAppVoice
Post-sale service & claims-assistance line
Grounded policy-service answers and claims-assistance status on demand, with specialist escalation.
PB's brand promise includes claims support; service quality here drives the trust that lowers future acquisition cost.
Friction today: Service queries queue behind sales priorities; claims-assistance status requires callbacks.
VoiceWhatsAppApp chat
Watch the change

Lead qualification & advisor handoff: today vs the agentic model

Scenario: A 34-year-old in Lucknow compares term plans at 11:40 pm and submits a callback request no advisor will reach before noon
Today
same interaction, two worlds
Agentic layer
Speed to first contact
hours–days
minutes, 24/7
Platform capability
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · Speed to first contact: Process design; conversion lift measured in pilot
  • · 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
WhatsAppVoiceWeb chatApp 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 · PolicyBazaar
Lead CRMDialer/telephonyAdvisor calendarPolicy book CRMInsurer APIsPayment gatewayInsurer claim interfaces

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

Trust & languages
HindiEnglishTamilTeluguKannadaMarathiBengali

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 interactions1.5M
Seller assumption — replace in discovery
Current cost per interaction ($)$1.2
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.8M
Current operating cost / mo
$8.4M
Modelled gross benefit / yr
0.1 mo
Payback on Scale
240%
3-yr ROI (modelled)
Automated/assisted interactions per month825K
Modelled AI run-cost per month (usage + cloud, system estimate)$289K
New monthly operating cost$1.1M

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 PolicyBazaar'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 PolicyBazaar: Lead qualification, renewal outreach, and post-sale service are three high-volume workflows on CRM and dialer integrations; scale fits the phased proof this metric-driven company will demand.

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: Lead CRM, Dialer/telephony, Advisor calendar
  • · A named business owner for lead qualification & advisor handoff
  • · Security review counterpart and policy sign-off (Lead CRM scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“You built the category on assisted buying; agentic qualification scales the assistance without scaling the floor — margin expansion on the same lead flow.”

CIO / CTO

“The agent slots between your lead systems and dialer with structured write-backs — improving the data your funnel models train on.”

COO

“Night and weekend leads stop decaying; advisor rosters flatten because the agent absorbs the spikes and hands over booked, qualified slots.”

Head of Telesales

“Your advisors open every call knowing need, budget, and history — connect-to-issuance improves because the floor works only pre-qualified queues.”

Chief Risk / Compliance Officer

“IRDAI-conscious scripts with mandatory disclosures embedded, every conversation recorded and scored — conduct assurance across the funnel, not a sample of it.”

CFO / Procurement

“Cost per issued policy is the number; a control-group pilot on one product funnel will price the impact before any floor-wide commitment.”

Outreach

Pre-built offer emails for PolicyBazaar

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

India's dominant online insurance marketplace whose unit economics literally run on telesales conversations — thousands of advisors qualifying and closing leads — making conversational automation a core-P&L conversation, not a support one.

Recommended next step

Run a 60-day A/B on the health-insurance funnel: agent-first engagement versus dialer-first, measuring connect, qualification, and issuance economics.

Entry: Lead qualification & advisor handoff · 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.