ThailandLife insuranceLaunch · $50K
Thai Life Insurance

Persistency is a conversation: agentic policy service and premium outreach for Thai Life

Give Thai Life an agentic layer for premium-due outreach, policy service, and claims status in Thai — lifting persistency and freeing the agency force to sell, with OIC-compliant conduct on every interaction.

Entry use case
Premium-due & lapse-prevention outreach
Expected outcome
Lift 13-month and 25-month persistency with policy-timed premium reminders and reinstatement outreach, measured against control cohorts
Recommended next step
Baseline 13-month persistency and orphaned-policy lapse rates, then pilot premium-due outreach on one policy cohort for two premium cycles.
What we understand

Thai Life Insurance's operating reality

Thai Life Insurance is one of Thailand's largest life insurers, listed on the SET in 2022, with Meiji Yasuda Life as a long-standing strategic partner and an agency-led distribution model with tens of thousands of agents.

Public fact

Life-insurance economics hinge on persistency: every lapsed policy destroys embedded value, and lapse prevention is disproportionately a communication problem — reminders, grace-period options, reinstatement guidance.

Reasoned inference

An agency-led model means policy service today routes through agents whose incentive is selling, not servicing; orphaned policies (agent turnover) are systematically under-served and lapse-prone.

Reasoned inference

Thailand's OIC (Office of Insurance Commission) imposes market-conduct rules on insurance communication, and PDPA governs outreach consent — compliance-grade logging is a structural need.

Reasoned inference

An aging Thai customer base holds savings-heavy products with maturity and annuity-payout service needs — a growing, voice-preferring service segment.

Reasoned inference

Claims status transparency (health riders especially) is likely a top complaint driver that proactive updates would disproportionately fix.

Seller hypothesis — validate

Validate with the account team before outreach: Policy-administration API accessibility for premium and policy grounding · Persistency baselines and orphaned-policy share · Agency-force sensitivities to non-agent policyholder outreach

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: Thai Life is a distribution-and-actuarial company; its technology organization maintains policy systems and agent tools, not platforms. Conversational capability with OIC-compliant conduct will be procured — the Meiji Yasuda partnership reinforces a governance-first, buy-and-integrate pattern.

Why they won't build the full stack: No insurer of its profile builds conversational infrastructure; the persistency opportunity is measurable within two premium cycles with a bought platform, while a build would still be scoping.

What management is signalling

Management commentary as a listed insurer emphasizes value of new business, persistency quality, and agency productivity as the drivers investors track.

Inferencerecent investor communications (validate) · 2025

GTM implication: Pitch directly in their disclosed-metric language: persistency lift and agent-productivity release, measured on control cohorts.

What already exists (don't pitch this)
  • Large agency force and branch network
  • Policy administration and payment infrastructure
  • LINE presence and SMS reminder infrastructure
  • Meiji Yasuda strategic partnership
What customers still can't do end-to-end (pitch this)
  • →Two-way premium-due conversations with options explained
  • →Orphaned-policy service coverage
  • →Conversational claims intake and proactive status
  • →Thai voice automation for an aging base
  • →Persistency-attributed outreach measurement
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Premium-due & lapse-prevention outreach
Policy-timed Thai outreach with premium options explained (grace period, automatic policy loan, reinstatement), payment in-channel, agent escalation for save-critical cases.
Persistency is the company's reported value metric; each saved policy is directly attributable embedded value.
Friction today: Reminders are SMS blasts; grace-period and policy-loan options go unexplained; orphaned policyholders hear from no one.
LINEVoiceSMS
Policy service & maturity servicing
Grounded policy answers, guided service requests with document validation in-flow, maturity options explained and executed within policy.
Savings-product maturities and policy changes generate branch visits an aging base finds burdensome.
Friction today: Beneficiary changes, policy loans, and maturity questions require forms, branches, or reaching a possibly-departed agent.
LINEVoice
Claims intake & status
Conversational FNOL with document capture, checklist tracked in-flow, proactive stage updates, adjuster decisions remaining human.
Claims moments decide brand trust; health-rider claims especially generate status-call volume.
Friction today: Claims intake is paper-heavy; status answers require back-office checks; claimants call repeatedly.
LINEVoice
Watch the change

Premium-due & lapse-prevention outreach: today vs the agentic model

Scenario: A retired teacher whose agent left the industry two years ago gets a LINE reminder in Thai three days before her premium grace period ends, learns she can use an automatic policy loan, and keeps a 12-year policy in force — embedded value the lapse report never sees.
Today
same interaction, two worlds
Agentic layer
Status-call volume
dominant inbound driver
suppressed by proactive updates
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
  • · Status-call volume: Process design; 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
LINEVoiceSMS

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 · Thai Life Insurance
Policy administrationPayment gatewayAgency CRMDocument managementClaims platform

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

Trust & languages
ThaiEnglish

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 ($)$0.8
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$720K
Current operating cost / mo
$2.7M
Modelled gross benefit / yr
0.2 mo
Payback on Launch
127%
3-yr ROI (modelled)
Automated/assisted interactions per month495K
Modelled AI run-cost per month (usage + cloud, system estimate)$173K
New monthly operating cost$497K

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 Thai Life Insurance'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 Thai Life Insurance: Premium-due outreach is a sharply bounded, high-ROI pilot with persistency metrics the company already reports; policy service and claims extend after proof.

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: Policy administration, Payment gateway, Agency CRM
  • · A named business owner for premium-due & lapse-prevention outreach
  • · Security review counterpart and policy sign-off (Policy administration scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“Persistency drives the value metrics the market prices; lapse prevention is the most controllable driver you have. Proactive, helpful outreach at 100% coverage converts service spend into reported embedded value.”

CIO / CTO

“One integration into policy administration and payments powers outreach, service, and claims workflows — partner-delivered, sized for an insurer's IT capacity, not a bank's.”

COO

“Orphaned-policy servicing stops depending on agent goodwill; premium outreach runs on policy timing, not campaign calendars; your service staff work exceptions and saves.”

Chief Agency Officer

“Agents keep the relationship and the save-critical escalations — but stop being the bottleneck for routine service their compensation doesn't reward. Their selling hours go up; their orphan books stop lapsing.”

Chief Risk / Compliance Officer

“OIC market-conduct and PDPA consent enforced as configuration: scripts bounded, disclosures consistent, 100% of policyholder conversations logged and reviewable.”

CFO

“The pilot is measured in the metric you already disclose — persistency — against control cohorts, with Launch-package entry cost and usage pricing thereafter.”

Outreach

Pre-built offer emails for Thai 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 2 — high-potential incubation

Why this tier

One of Thailand's largest life insurers — SET-listed since 2022 with Meiji Yasuda as strategic partner — running a 60,000-strong agency force whose policyholder base generates premium-collection, policy-service, and claims conversations that today flow through agents and branches; persistency economics make automated, helpful outreach a direct P&L lever.

Recommended next step

Baseline 13-month persistency and orphaned-policy lapse rates, then pilot premium-due outreach on one policy cohort for two premium cycles.

Entry: Premium-due & lapse-prevention outreach · 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.