ThailandBanking (state-linked)Transform · $200K
Krungthai Bank

The bank that runs Thailand's welfare rails needs service at national scale: agentic support for Krungthai

Give Krungthai an agentic service layer for Pao Tang and welfare-program support, retail banking service, and government-scheme outreach in Thai — national-scale capacity with state-grade auditability.

Entry use case
Pao Tang & welfare-program service
Expected outcome
Absorb scheme-launch contact surges and deflect eligibility, registration, and payment-status queries into grounded in-channel resolution
Recommended next step
Model the last two scheme launches' contact surges with the program team and scope a surge-absorption pilot for the next scheme go-live.
What we understand

Krungthai Bank's operating reality

Krungthai Bank is Thailand's state-linked commercial bank (majority-held via the Financial Institutions Development Fund) and operates the government's digital-benefit infrastructure: the Pao Tang app — used for co-payment schemes, welfare disbursement, digital savings bonds, and the digital lottery — has reached tens of millions of users.

Public fact

Alongside Pao Tang, the bank runs Krungthai NEXT for banking and the Tung Ngern merchant app for scheme-accepting shops, and has built its technology capacity through arms such as Infinitas by Krungthai and Arise by Infinitas.

Public fact

Every national scheme launch (stimulus co-payments, digital-wallet programs) creates registration and eligibility contact surges of a magnitude no Thai contact center can staff — a structurally recurring, politically visible spike problem.

Reasoned inference

Scheme users skew mass-market and provincial: Thai-language voice and LINE support matter more than app-native chat for the segments the state most needs served.

Reasoned inference

As the state's banking instrument, Krungthai's service failures become political events; evidence-grade handling and equitable access are governance requirements, not preferences.

Reasoned inference

Government-scheme outreach (unclaimed benefits, expiring entitlements) could become a proactive workflow with direct policy-outcome value for the bank's state stakeholders.

Seller hypothesis — validate

Validate with the account team before outreach: Scheme-platform API accessibility and identity-verification integration · State-procurement route for AI platforms (direct vs via Infinitas/Arise) · Which upcoming scheme launch could anchor a surge pilot

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: Krungthai's Infinitas and Arise arms are genuinely capable builders — they shipped Pao Tang — but their capacity is committed to product rails, and the bank's pattern is combining internal platforms with procured components under state-grade governance. A conversational layer delivered with a partner, integrated by Infinitas, matches how they operate.

Why they won't build the full stack: Building a conversational platform would put Infinitas in competition with its own roadmap during a period when every scheme launch already stretches it; buying the layer and owning the integration keeps the state's rails and their service surface both moving.

What management is signalling

Krungthai's role operating state digital-benefit infrastructure (Pao Tang co-payment schemes, digital savings bonds, digital lottery) is publicly established and repeatedly referenced in its strategic positioning as Thailand's 'invisible banking' state partner.

Reported factannual report strategic disclosures · 2025

GTM implication: The state-infrastructure mandate is the entry: surge service capacity for scheme launches is a need no competitor account has in this form.

Sector-wide, Thai banks are guiding to cost discipline and asset-quality caution amid household-debt deleveraging.

Inferencerecent investor communications (validate) · 2025

GTM implication: Frame national-scale service as variable-cost infrastructure, not headcount — aligned with the sector's efficiency narrative.

What already exists (don't pitch this)
  • Pao Tang app with tens of millions of scheme users
  • Krungthai NEXT digital banking
  • Tung Ngern merchant app
  • Infinitas by Krungthai / Arise technology arms
  • National branch and hotline infrastructure
What customers still can't do end-to-end (pitch this)
  • →Surge-elastic scheme service capacity
  • →Grounded eligibility and payment-status answers at national concurrency
  • →Thai voice automation for provincial segments
  • →Proactive entitlement outreach
  • →Cross-channel context between hotline, branch, and apps
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Pao Tang & scheme support
Grounded eligibility and status answers in Thai at unlimited concurrency; registration guided step-by-step; exceptions routed to program staff with context.
Scheme-launch surges are the recurring national-scale service problem; absorbing them is the bank's most visible service mandate.
Friction today: Registration, eligibility, and payment-status questions surge at launch; hotlines melt; branches queue; the answers exist in scheme systems.
VoiceLINEIn-app chat
Retail banking service (NEXT)
Grounded retail service in Thai across LINE, app, and voice with in-conversation actions within policy.
The commercial bank's own service volume rides the same infrastructure and funds the platform economics.
Friction today: Balance, transfer, and loan questions queue into a hotline sized for normal days, not scheme days.
LINEIn-app chatVoice
Tung Ngern merchant support
Settlement status grounded per merchant, scheme-rule answers 24/7, escalation with context for disputes.
Scheme acceptance depends on merchant confidence; settlement confusion breaks the rail at the shop counter.
Friction today: Small merchants call about settlement timing and scheme rules; support is banking-hours only.
LINEVoice
Watch the change

Pao Tang & welfare-program service: today vs the agentic model

Scenario: A new co-payment scheme opens at 6am; by 6:05 a rice-shop owner in Isan has asked in Thai why her registration is pending and gotten a grounded answer — while the hotline that used to melt takes only the exceptions.
Today
same interaction, two worlds
Agentic layer
First-contact resolution
deferred via tickets
in-conversation actions
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
  • · First-contact resolution: Process design: agent acts in systems of record
  • · 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
VoiceLINEIn-app 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 · Krungthai Bank
Scheme/benefit platformsPao Tang backendIdentity verificationCore bankingCRMMerchant platformSettlement systems

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 interactions5.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$0.8
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$4.0M
Current operating cost / mo
$14.8M
Modelled gross benefit / yr
0.2 mo
Payback on Transform
127%
3-yr ROI (modelled)
Automated/assisted interactions per month2.8M
Modelled AI run-cost per month (usage + cloud, system estimate)$962K
New monthly operating cost$2.8M

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

Recommended package

Transform — $200K implementation

Transform · $200K · A broader enterprise deployment14–20 weeks phased across units

Why this package for Krungthai Bank: National-program service surges, retail banking service, and merchant support span multiple business units and tens of millions of users — this is an enterprise deployment with governance requirements only the Transform scope covers.

Included
  • 7–10 channels
  • Multiple inbound + outbound workflows
  • Complex enterprise integrations
  • Multiple business units or geographies
  • Advanced agent orchestration
  • Enterprise grounding
  • Governance & evaluation framework
  • Role-based human supervision
  • Custom analytics & optimization
  • Production hardening + managed rollout plan
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Ongoing managed operations (contracted separately)
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: Scheme/benefit platforms, Pao Tang backend, Identity verification
  • · A named business owner for pao tang & welfare-program service
  • · Security review counterpart and policy sign-off (Scheme/benefit platforms scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO / President

“Krungthai carries a dual mandate: commercial returns and national service infrastructure. An agentic layer is the only architecture that serves scheme-day surges without permanent overcapacity — and it strengthens the case that Krungthai should keep running the state's rails.”

CIO / CTO (Infinitas)

“Your teams built the rails; the conversational layer rides on them. A partner-delivered platform with your integration ownership adds national-scale service capacity without diverting Infinitas from product engineering.”

COO

“Scheme launches stop being staffing emergencies: registration and status volume is absorbed elastically, branches stop queueing for questions the platform answers, and your people work exceptions.”

Head of Government Programs / Retail

“Program success is measured in registration completion and disbursement reach — both improve when every Thai can get a grounded answer at 6am in their own language.”

Chief Risk / Compliance Officer

“State-program service demands evidence-grade equity: 100% logged interactions, identical policy application, PDPA-compliant consent — auditable to the standards a state bank answers to.”

CFO / Procurement

“Surge capacity via headcount means paying for peak all year; usage pricing means paying for peak only at peak. On scheme-day volumes, that arithmetic is decisive — and state-procurement-compatible.”

Outreach

Pre-built offer emails for Krungthai Bank

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

The state-linked bank that operates Thailand's civic financial infrastructure: Pao Tang reached tens of millions of Thais through government welfare, co-payment, and savings-bond programs, alongside Krungthai NEXT and the Tung Ngern merchant app — the largest state-adjacent digital user base in the country, with service obligations to match.

30 / 60 / 90-day plan
  • Day 0–30: Model the last two scheme launches' contact surges with the program team and scope a surge-absorption pilot for the next scheme go-live.; confirm sponsor and baseline data access; validate: Scheme-platform API accessibility and identity-verification integration
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + LINE; pilot scope signed
  • Day 61–90: Transform package kickoff; pao tang & welfare-program service pilot in build; success thresholds locked with the Head of Government Programs / Retail
Recommended next step

Model the last two scheme launches' contact surges with the program team and scope a surge-absorption pilot for the next scheme go-live.

Entry: Pao Tang & welfare-program service · Transform package · 14–20 weeks phased across units. 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.