IndonesiaBanking (housing finance)Scale · $100K
Bank BTN (Bank Tabungan Negara)

Three million homes need three million conversations: agentic mortgage servicing for Indonesia's housing bank

Give BTN a policy-bounded collections and mortgage-journey layer — EMI reminders, early-delinquency outreach, subsidy-application status, and Bale support in Bahasa Indonesia — that scales with the national housing program instead of with headcount.

Entry use case
Mortgage EMI early-delinquency collections
Expected outcome
100% attempted day-1 coverage on early-bucket mortgage delinquency with policy-bounded restructuring offers, measured against dialer-cohort roll rates
Recommended next step
Baseline early-bucket roll rates on one subsidized-mortgage cohort and run a control-group collections pilot alongside the existing dialer operation.
What we understand

Bank BTN (Bank Tabungan Negara)'s operating reality

BTN is the state-owned housing-finance bank and the backbone lender of the government's 3-million-homes program; it was the largest distributor of FLPP subsidized mortgages in 2025 with roughly 47% of national volume.

Public fact

BTN launched Bale by BTN, its super-app combining banking, property search, and mortgage application, in February 2025 — with public targets of roughly 4M users by end-2025.

Public fact

A subsidized-mortgage book is by construction a first-time-borrower, mass-market book: payment behavior is salary-cycle-sensitive, and early-bucket outreach quality determines whether accounts roll into restructuring or recover.

Reasoned inference

Application servicing at program scale — document chase, subsidy-eligibility status, developer coordination — is a 'where is my application' contact factory that today flows through branches and a fixed hotline.

Reasoned inference

As a state bank executing a presidential-priority program under OJK supervision, BTN needs demonstrably fair, fully-logged collections conduct — market-conduct risk on subsidized borrowers is political risk.

Reasoned inference

Bale's property-journey ambitions (search-to-mortgage in one app) could make conversational pre-qualification a growth lever, not just a service cost line.

Seller hypothesis — validate

Validate with the account team before outreach: Current early-bucket roll rates and dialer coverage on the subsidized book · OJK and ministry sensitivities on automated outreach to subsidized borrowers · Bale platform architecture and where in-app support can integrate

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: BTN's technology capacity is consumed by Bale and core modernization; it has no platform-engineering organization for conversational AI and no history of building infrastructure internally. As a state bank under program-delivery pressure, it will procure a packaged, auditable solution with a partner accountable for outcomes.

Why they won't build the full stack: The 3-million-homes ramp is now; a build program would deliver after the book has already grown and seasoned. BTN's right to win is housing-finance distribution, not conversational infrastructure — buying the layer keeps engineering on Bale and capital on lending.

What management is signalling

BTN was the largest distributor of FLPP subsidized housing loans in 2025 (roughly 47% of national volume) as the government raised program targets under the 3-million-homes agenda.

Reported factFY2025 program disclosures and results materials · 2025

GTM implication: Volume ramp is guaranteed by policy; the pitch is scaling servicing and collections quality at program speed without proportional cost.

Bale by BTN launched February 2025 with public user targets of roughly 4M by year-end, positioned as the bank's consumer-experience centerpiece.

Reported factFeb 2025 launch disclosures · Feb 2025

GTM implication: App-adjacent service quality is now a stated management priority — in-app agentic support extends the investment they have already announced.

What already exists (don't pitch this)
  • Bale by BTN super app (launched Feb 2025)
  • Largest FLPP subsidized-mortgage distribution franchise
  • BTN Properti property portal
  • Branch network and contact center
  • Dialer-based collections operations
What customers still can't do end-to-end (pitch this)
  • →Policy-bounded conversational collections with automatic PTP follow-through
  • →Proactive application and disbursement status
  • →In-channel payment completion
  • →Local-language voice automation
  • →Cross-channel context between branch, hotline, and app
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
EMI reminders & early-delinquency collections
Policy-timed WhatsApp/voice outreach in Bahasa Indonesia, payment links in-channel, restructuring offers only from the approved matrix, hardship routed to humans.
Roll-rate control on a fast-growing subsidized book is the single biggest P&L lever the program ramp creates.
Friction today: Dialer capacity limits day-1 coverage; first-time borrowers miss due dates from friction, not refusal; offers vary by collector.
WhatsAppVoiceSMS
Mortgage & subsidy application status
Proactive stage-by-stage status pushed to applicants; document checklists tracked conversationally; stuck cases routed with context.
Program-scale origination volume creates program-scale status-call volume; deflecting it protects both branch capacity and program optics.
Friction today: Applicants call branches for FLPP eligibility and disbursement status; answers require back-office checks.
WhatsAppBale in-app chatVoice
Bale app support & activation
Guided activation and feature support in-channel; drop-off reasons instrumented weekly.
Bale's user-growth target is a board-level number; activation friction is the leak.
Friction today: First-time digital users stall at onboarding; support routes to the same hotline as everything else.
In-app chatWhatsApp
Watch the change

Mortgage EMI early-delinquency collections: today vs the agentic model

Scenario: A first-time homeowner in Bekasi, 6 days past due after a salary delay, gets a WhatsApp reminder in Bahasa Indonesia, agrees a two-part payment from the approved matrix, and pays via the in-chat link — no dialer call, no branch visit.
Today
same interaction, two worlds
Agentic layer
Day-1 contact coverage
capacity-limited
100% attempted, multi-channel
Platform capability
Roll-rate improvement
—
measured in pilot
Benchmark
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · Day-1 contact coverage: Coverage is a platform capability; contact success measured in pilot
  • · Roll-rate improvement: McKinsey: 20–25% NPL reduction among digital-first collections leaders
  • · 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
WhatsAppVoiceSMSBale in-app chatIn-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 · Bank BTN (Bank Tabungan Negara)
Loan servicingCollections platformPayment gatewayLoan originationFLPP/subsidy interfaceDocument managementDigital banking platformIdentity/eKYC

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

Trust & languages
Bahasa IndonesiaJavaneseSundaneseEnglish

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 interactions2.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$0.8
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.6M
Current operating cost / mo
$5.9M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
127%
3-yr ROI (modelled)
Automated/assisted interactions per month1.1M
Modelled AI run-cost per month (usage + cloud, system estimate)$385K
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 Bank BTN (Bank Tabungan Negara)'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 Bank BTN (Bank Tabungan Negara): Collections plus application-status servicing plus Bale app support is a multi-workflow deployment; the 3-million-homes volume ramp makes single-workflow pilots obsolete within quarters.

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: Loan servicing, Collections platform, Payment gateway
  • · A named business owner for mortgage emi early-delinquency collections
  • · Security review counterpart and policy sign-off (Loan servicing scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO / Direktur Utama

“The 3-million-homes mandate will be judged on both disbursement volume and book quality. Agentic collections and application servicing let BTN scale the program without scaling delinquency or headcount — a story that works for the ministry and the market simultaneously.”

CIO / CTO

“One integration into loan servicing, origination, and the payment gateway powers collections, status, and Bale support — delivered by a partner, without competing with the Bale roadmap for engineering capacity.”

COO

“Day-1 delinquency coverage stops being a dialer-seat calculation, and 'where is my application' stops consuming branch staff — both absorbed elastically as program volume ramps.”

Head of Collections / Consumer Lending

“Every early-bucket account contacted on day one, every promise-to-pay followed up automatically, every conversation scored against your conduct playbook — with roll-rate impact measured on control cohorts.”

Chief Risk / Compliance Officer

“Collections conduct on subsidized borrowers is politically sensitive: policy-bounded offers, permitted-hours outreach, and 100% logged interactions turn conduct risk into demonstrable compliance.”

CFO / Procurement

“Credit cost and service cost both scale with the program unless something breaks the linkage. Usage-priced conversational capacity is that break — auditable, SOE-procurement-compatible, and measured against roll rates you already report.”

Outreach

Pre-built offer emails for Bank BTN (Bank Tabungan Negara)

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

The state housing bank carrying the government's 3-million-homes mandate: largest distributor of FLPP subsidized mortgages, a fresh super-app (Bale by BTN, launched Feb 2025), and a mass-market mortgage book whose EMI collections and application servicing are exactly the workflows agentic communication does best.

Recommended next step

Baseline early-bucket roll rates on one subsidized-mortgage cohort and run a control-group collections pilot alongside the existing dialer operation.

Entry: Mortgage EMI early-delinquency collections · 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.