IndiaLife insuranceScale · $100K
Max Life Insurance (Axis Max Life)

A persistency leader's hardest problem: the last few points of renewal — won one vernacular conversation at a time

Give Axis Max Life an agentic layer for renewal nudges, revival, and policy servicing across its Axis-bancassurance and agency base — extending its persistency leadership with coverage and language depth manual calling cannot reach.

Entry use case
Renewal & grace-period conversations (banca cohorts)
Expected outcome
Persistency lift on hard-to-reach cohorts; higher revival conversion; servicing deflection from the contact center.
Recommended next step
Control-group pilot on one banca cohort: automated vernacular grace-period conversations for 90 days, primary endpoint 13th-month persistency delta.
What we understand

Max Life Insurance (Axis Max Life)'s operating reality

Renamed Axis Max Life Insurance in 2025 after Axis Bank increased its stake, integrating 'Axis' into brand identity; bancassurance through Axis Bank is a dominant distribution channel.

Public fact

Reported 13th-month persistency of ~87.6% and 61st-month of ~59.3% in FY25 (premium basis) — among the best in the sector, and publicly celebrated (alongside a 99.70% claims-paid ratio).

Public fact

A persistency leader's remaining lapse pool concentrates in hard segments — smaller tickets, semi-urban geographies, vernacular preferences — where calling economics are worst.

Reasoned inference

Axis-branch-sold policies likely mirror the bancassurance pattern: thin post-sale relationship with the insurer, silent lapse risk at renewal.

Reasoned inference

A metrics-driven management culture likely responds best to a control-group pilot design with persistency as the primary endpoint.

Seller hypothesis — validate

Validate with the account team before outreach: Persistency by cohort and where calling coverage actually stops · Policy-admin and payment API readiness for in-conversation renewal · Post-rebrand technology governance between Axis Bank and the insurer

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- and metrics-led insurer whose technology is vendor-delivered; no internal speech/conversational engineering franchise, and sector practice is buying persistency-tech from platforms.

Why they won't build the full stack: Building conversational infrastructure has no strategic logic for an insurer competing on distribution and persistency execution; a packaged, policy-admin-integrated platform is the only plausible route.

What management is signalling

FY25 disclosures highlighted record persistency (13th month ~87.6%) and a 99.70% claims-paid ratio

Reported factFY25 annual report / public releases · mid 2025

GTM implication: Management competes on these exact metrics — a persistency-endpoint pilot speaks their language natively

Brand integration with Axis and deepened bancassurance alignment

Reported factpublic rebrand announcements · early 2025

GTM implication: Banca-cohort renewal ownership is the open seam: the insurer needs its own conversational relationship with branch-sold customers

What already exists (don't pitch this)
  • Customer app and web self-service
  • WhatsApp servicing
  • SMS/email renewal reminder engine
  • Outbound renewal-calling teams triaged by value
What customers still can't do end-to-end (pitch this)
  • →Vernacular voice coverage thin on small-ticket cohorts
  • →Revival journeys lose customers across steps
  • →Onboarding welcome one-way
  • →Renewal outreach not fully attributed to persistency outcomes
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Grace-period renewal conversations on hard cohorts
100% of due policies conversed with before grace-period end, in the policyholder's language, payment in-channel; cohort persistency instrumented.
The marginal persistency point now lives in cohorts that ignore SMS and answer only a well-timed vernacular call.
Friction today: Calling capacity triages to high-value policies; small-ticket and vernacular cohorts get SMS only; lapse is silent.
VoiceWhatsAppSMS
Revival & win-back journeys
Guided revival conversations completing documentation and payment in-channel; revival conversion measured per campaign.
The lapsed pool at a persistency leader is small but high-quality — recoverable premium with structured guidance.
Friction today: Revival needs dues explanation, sometimes health declarations, then payment — a multi-step journey batch dialers cannot shepherd.
WhatsAppVoice
Policy servicing & onboarding-moment excellence
Conversational welcome and servicing in the customer's language; early-tenure engagement measurably correlated to renewal.
Early service moments (first premium receipt, fund-value queries, KYC updates) shape long-run persistency behavior.
Friction today: Servicing queries queue at the contact center in limited languages; onboarding welcome journeys are one-way.
WhatsAppVoiceApp chat
Watch the change

Renewal & grace-period conversations (banca cohorts): today vs the agentic model

Scenario: A small-ticket ULIP holder in Surat who never answers unknown numbers gets a Gujarati WhatsApp voice note about his due premium — and pays from the chat
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 · Max Life Insurance (Axis Max Life)
Policy admin systemPayment gatewayCRMRevival workflowOnboarding workflow

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

Trust & languages
HindiEnglishMarathiGujaratiTamilBengali

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 interactions900K
Seller assumption — replace in discovery
Current cost per interaction ($)$1.2
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.1M
Current operating cost / mo
$5.0M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
237%
3-yr ROI (modelled)
Automated/assisted interactions per month495K
Modelled AI run-cost per month (usage + cloud, system estimate)$173K
New monthly operating cost$659K

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 Life Insurance (Axis Max Life)'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 Life Insurance (Axis Max Life): Two-three workflows (renewal, revival, servicing) with policy-admin integration on voice and WhatsApp — scale scope matched to a focused, metric-driven insurer that will demand control-group proof.

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 & grace-period conversations (banca cohorts)
  • · 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 leadership is the brand's proof point; agentic coverage of the cohorts your callers cannot economically reach is how the lead widens rather than mean-reverts.”

CIO / CTO

“One policy-admin integration powers renewal, revival, and servicing conversations — a governed layer that complements, not duplicates, your digital-servicing investments.”

COO

“Calling capacity concentrates on advisory-grade saves while automation guarantees baseline coverage of every due policy — the triage inverts in your favor.”

Chief Distribution Officer

“Axis-banca cohorts get an insurer-owned renewal relationship instead of depending on branch memory — persistency by cohort becomes a managed number.”

Chief Risk / Compliance Officer

“Script-bounded, logged conversations meet IRDAI conduct expectations on renewal and revival — with better evidence than sampled call QA.”

CFO / Procurement

“Design it as a control-group pilot on persistency — the endpoint your board already tracks — and let the basis-point math carry procurement.”

Outreach

Pre-built offer emails for Max Life Insurance (Axis Max Life)

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

Top-four private life insurer, rebranded Axis Max Life in 2025 after Axis Bank's stake increase — a persistency leader (13th-month ~87.6% FY25) whose next basis points of retention and servicing quality are hardest and most communication-dependent.

Recommended next step

Control-group pilot on one banca cohort: automated vernacular grace-period conversations for 90 days, primary endpoint 13th-month persistency delta.

Entry: Renewal & grace-period conversations (banca cohorts) · 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.