Deploy policy-bounded, Vietnamese-first collections and early-delinquency conversations across FE Credit and VPBank retail, converting low-contact dialer campaigns into measured, humane, 100%-covered outreach.
VPBank is one of Vietnam's largest private banks; its consumer-finance arm FE Credit has long been the country's largest consumer lender, with SMBC holding 49% of FE Credit and a strategic 15% stake in VPBank itself.
Public factFE Credit's asset quality and recovery costs have been publicly discussed pressure points since the pandemic — collections effectiveness is a board-level topic, not a call-center metric.
Public factMass consumer lending in Vietnam relies heavily on outbound dialer teams with low contact rates; a large share of dial attempts never becomes a conversation.
Reasoned inferenceZalo is the realistic high-answer-rate channel for borrower outreach in Vietnam, ahead of voice for younger cohorts.
Reasoned inferenceSBV conduct expectations and Decree 13 consent rules constrain outreach windows, frequency, and data use — a policy engine, not agent memory, must enforce them.
Public factA shared agentic platform could serve VPBank retail, FE Credit, and VPBank Securities onboarding from one governance frame.
Seller hypothesis — validateValidate with the account team before outreach: Current dialer contact and cure rates by bucket at FE Credit · Collections-platform APIs and offer-matrix ownership · SMBC-aligned governance requirements for AI in customer contact
Technically capable but needs industry workflows, integration, acceleration, or managed operations
Evidence: VPBank and FE Credit run large technology programs, but investment concentrates on core banking, digital channels, and credit models; collections and CX tooling has historically come from vendors and outsourcers. SMBC-era governance further favors proven, auditable platforms over internal experimentation in customer contact.
Why they won't build the full stack: A Vietnamese-first agentic collections stack — speech, negotiation policy engines, omnichannel orchestration, SBV-grade audit — is not a differentiator worth building while FE Credit's recovery economics are under board-level scrutiny. Speed to measurable roll-rate impact beats platform ownership.
FE Credit's pandemic-era losses and subsequent recovery have been repeatedly discussed in group results, with consumer-finance asset quality framed as a key group priority.
GTM implication: Collections effectiveness is investor-visible — a control-group roll-rate pilot maps directly onto the metric management reports to the market.
| Workflow | Why it matters here | Value | Complexity | Speed | Channels |
|---|---|---|---|---|---|
Early-bucket collections & PTP management 100% day-1 attempted coverage on Zalo/voice, policy-bounded offers, automatic PTP follow-through. | Small improvements in early-bucket roll rates move provisioning economics across FE Credit's book. Friction today: Predictive dialers burn attempts during work hours; broken promises wait for the next campaign cycle. | ZaloVoiceSMS | |||
Card and loan servicing Grounded self-service on balances, schedules, and restructuring eligibility with warm handoff for hardship. | Statement, due-date, and restructuring questions clog branches and hotlines that should be selling. Friction today: IVR trees and branch visits for answers that live in core systems. | VoiceZaloApp chat | |||
Loan-application rescue Minutes-level guided completion in Vietnamese, with eligibility questions answered from policy sources. | Digital lending funnels leak at document and verification steps; each rescue is booked revenue. Friction today: Applicants who stall get a next-day human callback at best. | ZaloApp chatVoice |
Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.
API access to these systems is the critical-path dependency.
Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.
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 VPBank's measured baseline. Package price covers implementation only; recurring usage billed separately.
Why this package for VPBank: Collections alone spans voice, Zalo, and SMS with core, card, and consumer-finance system integrations; a Launch pilot would under-serve the portfolio's scale and the SMBC-era governance bar.
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.
“FE Credit's recovery economics shape group ROE. Collections that reach 100% of the early book with consistent, policy-bounded offers is a provisioning lever, not a cost-center tweak.”
“One agentic platform, governed centrally, serving FE Credit and retail bank workflows — instead of another vendor bot per business unit.”
“Your collectors' time should go to hardship cases and high-balance negotiations. Let agents run the first 80% of contacts and hand humans a ranked, contextualized queue.”
“Day-1 coverage stops being capacity-limited. Every promise-to-pay gets automatic follow-through, and every conversation is scored — timing and scripts improve weekly.”
“Outreach windows, contact frequency, and offer boundaries are enforced by configuration with a complete audit trail — SBV conduct review becomes evidence retrieval, not sampling.”
“Compare cost-to-collect per resolved account, not per seat. Automated early-bucket contact at a fraction of dialer-team cost, with roll-rate impact measured against control cohorts.”
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.
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.
FE Credit's mass consumer-finance book makes VPBank the single largest collections-conversation opportunity in Vietnam; SMBC capital means transformation budget exists, but core-banking integration depth requires a committed account team.
Propose a control-group early-bucket pilot on one FE Credit portfolio segment with roll-rate as the success metric.
Entry: Early-bucket collections & payment-promise management · Scale package · 10–14 weeks to production across priority workflows. Human fallback throughout; success thresholds agreed before build.
Start the pursuitResearch-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.