IndonesiaBanking / micro-financeTransform · $200K
Bank Rakyat Indonesia (BRI)

Micro-collections and agent-network support at BRI scale: tens of millions of borrowers, one governed voice layer

Give BRI conversational reach across its micro and ultra-micro book — payment reminders, restructuring, and BRILink agent support in the languages of the archipelago — at a cost per contact that works for loans measured in single-digit millions of rupiah.

Entry use case
Micro-loan pre-delinquency reminders and promise-to-pay
Expected outcome
Higher early-bucket cure rates and fewer field-collector visits per resolved account
Recommended next step
Working session with micro-business and collections leadership: baseline field-visit cost per cured account and scope a two-region reminder pilot.
What we understand

Bank Rakyat Indonesia (BRI)'s operating reality

BRI is the world's largest micro-lender by borrower count, serving tens of millions of micro borrowers, and leads Indonesia's ultra-micro ecosystem alongside Pegadaian and PNM.

Public fact

The AgenBRILink network — hundreds of thousands to around a million agents — extends banking into villages without branches, and those agents themselves need support.

Public fact

Micro-collections rely heavily on field officers (mantri) making physical visits — the most expensive possible channel for small-ticket loans.

Reasoned inference

Borrowers span the archipelago's languages (Javanese, Sundanese, Minang, and more); phone-first and WhatsApp-first behavior dominates over app usage in the ultra-micro segment.

Reasoned inference

KUR (subsidized micro-credit) volumes create seasonal onboarding and repayment-reminder waves that fixed staffing cannot follow.

Reasoned inference

Validate with the account team before outreach: Data-residency and sovereign-cloud requirements for borrower conversations · BRISPOT API readiness for promise-to-pay writeback · Regional-language priorities beyond Javanese and Sundanese · Current mantri cost-per-visit benchmark to anchor the business case

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: BRI's scale and stated hybrid-bank strategy — digital reach combined with human touch through mantri and AgenBRILink — make it a capability buyer with strong integration muscle; it partners for platforms while owning distribution, as its existing digital stack shows.

Why they won't build the full stack: BRI's differentiation is physical-plus-digital distribution into segments no one else serves profitably, not conversational AI infrastructure; building archipelago-language voice, conduct tooling, and evaluation stacks in-house would divert from the micro-franchise focus that drives its equity story.

What management is signalling

Micro remains the dominant loan segment (roughly 44% of the book) while management has publicly flagged micro asset-quality pressure and elevated cost of credit, deliberately slowing micro growth to protect quality.

Reported factQ3 2025 earnings materials · Oct 2025

GTM implication: Lead with early-bucket cure economics: conversational reminders directly attack the micro NPL and cost-of-credit pressure management is guiding the market on.

Hybrid-bank commentary implies mantri productivity is a managed KPI as coverage expectations grow faster than field headcount.

Inferencerecent investor communications (validate) · 2025–2026

GTM implication: Sell field-force leverage: software takes the first three touches, mantri concentrate on genuine non-response.

What already exists (don't pitch this)
  • BRImo mobile banking with tens of millions of users
  • BRISPOT loan-officer tooling and the AgenBRILink agent network
  • Sabrina virtual assistant for basic queries
What customers still can't do end-to-end (pitch this)
  • →Conversational collections coverage before field-collector visits
  • →Regional-language voice quality (Javanese, Sundanese, and beyond)
  • →Proactive repayment reminders and onboarding outreach at book scale
  • →Unified context across mantri, branch, and phone channels
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Micro-loan payment reminders & PTP
Every due account touched conversationally first; field visits reserved for genuine non-response.
At micro-ticket sizes, a field visit can cost a meaningful share of the installment itself; early conversational cures protect NPL ratios cheaply.
Friction today: Mantri visit capacity limits coverage; phone outreach is manual and unrecorded.
VoiceWhatsAppSMS
AgenBRILink agent support desk
Instant device, transaction, and settlement support for the agent network in local languages.
Agent uptime is BRI's rural distribution; a stuck transaction is a village without banking that day.
Friction today: Agents call branch staff or hotlines; resolution depends on who answers.
VoiceWhatsApp
KUR onboarding & document chase
Guided conversational onboarding with document checklists tracked to completion.
Subsidized-credit seasons create application surges with heavy document friction.
Friction today: Incomplete files stall in branches; applicants are chased manually or not at all.
WhatsAppVoice
Watch the change

Micro-loan pre-delinquency reminders and promise-to-pay: today vs the agentic model

Scenario: A warung owner in Central Java gets a Javanese-language reminder call three days before her KUR installment, confirms a promise-to-pay, and the mantri's visit is never needed.
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
VoiceWhatsAppSMS

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 Rakyat Indonesia (BRI)
Loan system (BRISPOT)Core bankingAgent platformSettlement systemLoan originationDocument management

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 interactions8.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$0.8
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$6.4M
Current operating cost / mo
$23.8M
Modelled gross benefit / yr
0.1 mo
Payback on Transform
128%
3-yr ROI (modelled)
Automated/assisted interactions per month4.4M
Modelled AI run-cost per month (usage + cloud, system estimate)$1.5M
New monthly operating cost$4.4M

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 Rakyat Indonesia (BRI)'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 Bank Rakyat Indonesia (BRI): Multiple business lines (micro, ultra-micro via the UMi ecosystem, consumer), a national agent network, and archipelago-wide language needs make this a phased, multi-unit transform engagement.

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: Loan system (BRISPOT), Core banking, Agent platform
  • · A named business owner for micro-loan pre-delinquency reminders and promise-to-pay
  • · Security review counterpart and policy sign-off (Loan system (BRISPOT) scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“BRI's moat is reach into segments no one else can serve profitably. Agentic voice extends that moat — conversational coverage of every borrower at a cost the micro book can actually carry.”

CIO / CTO

“Grounded agents ride on BRISPOT and core-banking APIs you already expose to internal tools, with logging and residency controls fit for a state-owned bank.”

COO

“Your scarcest resource is mantri time. Let software handle the first three touches and your field force concentrates on the accounts that truly need a visit.”

Head of Micro & Ultra-Micro Business

“Early-bucket cure rate is the single biggest lever on micro NPL. 100% day-1 conversational coverage in the borrower's own language moves it directly.”

Chief Risk / Compliance Officer

“Every reminder call follows OJK conduct windows, every offer comes from your approved matrix, and every second is logged — replacing unrecorded field conversations with full auditability.”

CFO / Procurement

“Model it as cost per cured account: conversational touches at cents versus field visits at dollars. The pilot instruments that ratio before any national rollout.”

Outreach

Pre-built offer emails for Bank Rakyat Indonesia (BRI)

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 world's biggest micro-lender by borrower count — tens of millions of micro and ultra-micro borrowers, a million-strong BRILink agent network, and collections economics that agentic voice changes fundamentally.

30 / 60 / 90-day plan
  • Day 0–30: Working session with micro-business and collections leadership: baseline field-visit cost per cured account and scope a two-region reminder pilot.; confirm sponsor and baseline data access; validate: Data-residency and sovereign-cloud requirements for borrower conversations
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + WhatsApp; pilot scope signed
  • Day 61–90: Transform package kickoff; micro-loan pre-delinquency reminders and promise-to-pay pilot in build; success thresholds locked with the Head of Micro & Ultra-Micro Business
Recommended next step

Working session with micro-business and collections leadership: baseline field-visit cost per cured account and scope a two-region reminder pilot.

Entry: Micro-loan pre-delinquency reminders and promise-to-pay · 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.