IndiaLife insuranceScale · $100K
SBI Life Insurance

Every lapsing policy in every district, called before the grace period ends — in the policyholder's language

Give SBI Life an agentic persistency and servicing layer that converses with its bank-channel policyholder base — renewal reminders, revival journeys, and service queries in vernacular voice — protecting the persistency ratios that drive embedded value.

Entry use case
Renewal-premium reminders & lapse-revival conversations
Expected outcome
Measurable 13th- and 25th-month persistency lift; revived lapsed policies; reduced servicing load on branches and the contact center.
Recommended next step
Persistency pilot: automated vernacular grace-period conversations for one state's due-policy cohort, measured against matched control on 13th-month persistency and revival rate.
What we understand

SBI Life Insurance's operating reality

India's largest private life insurer by new business premium, majority-owned by SBI and distributing predominantly through SBI's ~22,000 branches alongside agency and digital channels.

Public fact

Persistency ratios (13th/61st month) are headline disclosed metrics for Indian life insurers and a stated management focus across the sector; IRDAI scrutinizes lapse behavior and mis-selling.

Public fact

The bancassurance base skews mass-market and semi-urban — policyholders acquired at a bank counter who may have no relationship with SBI Life directly and lapse silently.

Reasoned inference

Renewal outreach at this base's scale is likely SMS-heavy with thin vernacular calling coverage; branch staff who sold the policy rarely own its renewal.

Reasoned inference

Servicing queries (fund value, premium receipts, maturity, nominee changes) likely land on branches and a stretched contact center in limited languages.

Seller hypothesis — validate

Validate with the account team before outreach: Current renewal-calling coverage and persistency by channel/cohort · Policy-admin API readiness for real-time premium-status grounding and in-channel payment · Whether persistency outreach is owned centrally or fragmented across bancassurance circles

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 distribution powerhouse, not a technology builder: its digital estate is vendor-delivered, and there is no visible internal conversational-AI engineering; sector pattern is buying persistency and servicing technology from platforms.

Why they won't build the full stack: An insurer whose edge is the SBI branch network has no rationale to build speech, telephony, and evaluation infrastructure; the stack must arrive packaged, IRDAI-conformant, and integrated to policy admin.

What management is signalling

Persistency improvement and bancassurance productivity are recurring themes in disclosed metrics and management commentary

Reported factFY25 annual report · mid 2025

GTM implication: The pitch lands on the insurer's own headline KPI — propose a control-group persistency pilot, the metric management already reports

Sector-wide IRDAI attention to lapse rates, surrender values, and conduct

Inferencerecent investor communications (validate) · late 2025

GTM implication: Logged, script-bounded revival conversations double as a conduct-compliance upgrade

What already exists (don't pitch this)
  • SBI Life Smart Care app and web self-service
  • WhatsApp servicing presence
  • SMS renewal reminders at scale
  • Campaign-based outbound calling
What customers still can't do end-to-end (pitch this)
  • →Renewal outreach coverage-limited and largely one-way
  • →No vernacular voice at the base's true language breadth
  • →Revival journeys drop customers at documentation and payment
  • →Servicing defaults to SBI branches, untracked
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Renewal-premium reminders & grace-period conversations
Every due policy gets a two-way vernacular conversation before grace-period end, with in-channel payment; persistency measured by cohort.
Persistency is the highest-leverage economic metric in life insurance; each point of 13th-month persistency protects years of premium.
Friction today: SMS reminders are ignored; calling coverage reaches a fraction of due policies; the bank branch that sold the policy owns no renewal follow-up.
VoiceWhatsAppSMS
Lapse-revival campaigns
Structured revival conversations explaining dues and steps, guiding documentation, and completing payment in-channel; revival rates instrumented.
The lapsed-policy pool is recoverable premium; IRDAI-framed revival windows create a structured re-engagement opportunity.
Friction today: Revival outreach is campaign-batch calling with generic scripts; health-declaration and payment steps lose customers midway.
VoiceWhatsApp
Policy servicing & branch-deflection line
Grounded vernacular self-service on top servicing intents; branches and humans reserved for claims and complex changes.
Fund value, receipt, maturity-date, and nominee queries flood branches and the contact center from a base of tens of millions of policies.
Friction today: Policyholders default to the SBI branch, interrupting bank staff; contact-center languages are limited; answers vary.
VoiceWhatsAppApp chat
Watch the change

Renewal-premium reminders & lapse-revival conversations: today vs the agentic model

Scenario: A policyholder in Nagpur who bought a plan at an SBI counter three years ago gets a Marathi call four days before his grace period ends — and pays in the conversation
Today
same interaction, two worlds
Agentic layer
At-risk base contacted
capacity-limited fraction
100% attempted
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
  • · At-risk base contacted: Platform capability; save rate 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
VoiceWhatsAppSMSApp 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 · SBI Life Insurance
Policy admin systemPayment gatewayCRMRevival workflowDocument generation

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

Trust & languages
HindiEnglishMarathiTamilTeluguBengaliKannadaGujarati

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 interactions2.5M
Seller assumption — replace in discovery
Current cost per interaction ($)$1.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$2.5M
Current operating cost / mo
$10.7M
Modelled gross benefit / yr
0.1 mo
Payback on Scale
184%
3-yr ROI (modelled)
Automated/assisted interactions per month1.4M
Modelled AI run-cost per month (usage + cloud, system estimate)$481K
New monthly operating cost$1.6M

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 SBI Life Insurance'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 SBI Life Insurance: Two-three workflows (renewal/persistency, revival, policy servicing) with policy-admin integration across voice and WhatsApp in many languages — scale scope with obvious transform expansion once persistency lift is proven.

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: Policy admin system, Payment gateway, CRM
  • · A named business owner for renewal-premium reminders & lapse-revival conversations
  • · Security review counterpart and policy sign-off (Policy admin system scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

MD & CEO

“Persistency is the metric the street prices; guaranteed vernacular coverage of every due and lapsed policy is the most direct persistency lever available at bancassurance scale.”

CIO / CTO

“One policy-admin integration powers renewal, revival, and servicing conversations nationwide — replacing fragmented campaign dialers with a governed platform.”

COO

“Renewal coverage goes from capacity-limited sampling to 100% attempted, and SBI branch interruptions drop as servicing self-serves.”

Chief of Persistency / Customer Retention

“Cohort-level persistency dashboards replace month-end surprises; every conversation, promise, and payment is attributed.”

Chief Risk / Compliance Officer

“Script-bounded, fully logged conversations strengthen IRDAI conduct posture — especially on revival calls where mis-selling sensitivity is highest.”

CFO / Procurement

“A single point of 13th-month persistency at this premium base dwarfs platform cost; usage pricing keeps the case clean for a pilot-then-scale procurement.”

Outreach

Pre-built offer emails for SBI Life Insurance

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 1 — immediate strategic pursuit

Why this tier

India's largest private life insurer by new business premium, distributing through SBI's ~22,000-branch bancassurance machine into every district of India — renewal-premium, persistency, and servicing conversations at a scale no insurer's call capacity matches.

30 / 60 / 90-day plan
  • Day 0–30: Persistency pilot: automated vernacular grace-period conversations for one state's due-policy cohort, measured against matched control on 13th-month persistency and revival rate.; confirm sponsor and baseline data access; validate: Current renewal-calling coverage and persistency by channel/cohort
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + WhatsApp; pilot scope signed
  • Day 61–90: Scale package kickoff; renewal-premium reminders & lapse-revival conversations pilot in build; success thresholds locked with the Chief of Persistency / Customer Retention
Recommended next step

Persistency pilot: automated vernacular grace-period conversations for one state's due-policy cohort, measured against matched control on 13th-month persistency and revival rate.

Entry: Renewal-premium reminders & lapse-revival 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.