VietnamFintech / super-appScale · $100K
MoMo

Every dong moves through a conversation: support for Vietnam's 30-million-user financial super-app

Give MoMo an agentic service layer that resolves transaction disputes, merchant queries, and eKYC drop-offs in Vietnamese at wallet-scale unit costs — on the cloud where its AI already runs.

Entry use case
Transaction dispute & wallet service resolution
Expected outcome
Deflect the dominant 'where is my money' contact class into grounded, in-channel resolution with SBV-compliant audit trails
Recommended next step
Workshop with the CX and platform teams to size the dispute-contact class and scope a Zalo + in-app pilot on the transaction ledger.
What we understand

MoMo's operating reality

MoMo is Vietnam's largest e-wallet and financial super-app with 30M+ registered users spanning payments, savings, credit distribution, insurance, donations, and ticketing.

Public fact

MoMo publicly runs AI workloads — chatbots, eKYC, recommendations — on NVIDIA GPUs in Google Cloud, reported via NVIDIA's own case coverage.

Public fact

Failed top-ups, pending transfers, and merchant settlement questions are the dominant contact drivers for any wallet at this scale; peaks follow salary days and mega-promo events.

Reasoned inference

MoMo distributes credit and investment products with licensed partners, creating a compliance-sensitive support surface (eligibility, repayment, disclosure) it cannot fully script today.

Reasoned inference

eKYC drop-off rescue is likely a measurable growth lever: users who stall at document capture rarely return without proactive outreach.

Seller hypothesis — validate

SBV oversight of payment intermediaries plus Vietnam's PDPD (Decree 13/2023) make in-country data handling and consent-governed outreach non-negotiable design constraints.

Public fact

Publicly reported (via NVIDIA) to run chatbot, eKYC, and recommendation inference on NVIDIA GPUs in Google Cloud — an existing consumption relationship to build on.

Publicly reported Google Cloud relevance

Validate with the account team before outreach: Actual monthly contact volume by driver (disputes vs merchant vs onboarding) · Where dispute-case state lives and API readiness of the ledger and dispute systems · Zalo Official Account usage and consent posture for proactive outreach

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: MoMo has genuine in-house AI engineering — it runs its own chatbot, eKYC, and recommendation models on Google Cloud GPUs — but that capability is pointed at product features and risk models, not contact-center orchestration. Its operational tooling has historically been bought, and wallet economics reward outcome-priced platforms over platform ownership.

Why they won't build the full stack: Building an SBV-auditable omnichannel service stack (Vietnamese voice, Zalo, policy engines, 100% interaction logging) is a multi-year infrastructure program outside MoMo's product roadmap. A newly profitability-focused MoMo cannot justify diverting growth engineers to rebuild what a governed platform delivers in weeks.

What management is signalling

Widely reported to have reached profitability in 2024 after a decade of growth investment, with investor interest reportedly valuing the company around $3B.

Inferencerecent investor communications (validate) · 2025

GTM implication: A profitability-era MoMo buys against unit economics — lead with cost per resolved contact and eKYC completion lift, not innovation branding.

What already exists (don't pitch this)
  • In-app chatbot and FAQ automation
  • Automated eKYC pipeline with in-house models
  • Zalo Official Account presence
  • In-house fraud and recommendation models on Google Cloud
What customers still can't do end-to-end (pitch this)
  • →Transactional depth: dispute status grounded in the live ledger with reversal actions
  • →Cross-channel context between app chat, hotline, and Zalo
  • →Production-grade Vietnamese voice for money-anxiety conversations
  • →Consent-governed proactive outreach for eKYC rescue and merchant reactivation
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Transaction dispute & wallet service
In-conversation status from the transaction ledger, automated reversal initiation within policy, full audit log.
Pending transfers and failed top-ups are the highest-volume, highest-anxiety contact class for a 30M-user wallet.
Friction today: App chat bot deflects to FAQs; unresolved cases become app-store complaints and SBV-reportable grievances.
In-app chatVoiceZalo
Merchant activation & settlement support
Merchant recognized by ID, settlement status grounded in the payout system, re-activation nudges automated.
Hundreds of thousands of small merchants accept MoMo; settlement and QR issues directly gate payment volume.
Friction today: Small merchants call or message ad hoc; support staffed for consumers, not B2B settlement questions.
ZaloVoiceIn-app chat
eKYC and onboarding rescue
Consent-based outreach that walks users through document recapture; completion lift measured per cohort.
Every abandoned eKYC is a lost lifetime value across payments, credit, and investment products.
Friction today: Drop-offs are invisible until monthly funnel reviews; no proactive, guided re-engagement.
In-app chatZaloSMS
Watch the change

Transaction dispute & wallet service resolution: today vs the agentic model

Scenario: A user's salary-day transfer shows pending for 3 hours; the agent verifies identity, grounds status in the ledger, and initiates the reversal in one thread.
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
In-app chatVoiceZaloSMS

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 · MoMo
Transaction ledgerDispute managementCRMMerchant portalSettlement engineeKYC pipeline

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

Trust & languages
VietnameseEnglish

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 interactions2.5M
Seller assumption — replace in discovery
Current cost per interaction ($)$0.7
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.8M
Current operating cost / mo
$5.8M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
99%
3-yr ROI (modelled)
Automated/assisted interactions per month1.4M
Modelled AI run-cost per month (usage + cloud, system estimate)$481K
New monthly operating cost$1.3M

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 MoMo'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 MoMo: Multiple high-volume workflows (disputes, merchant support, onboarding rescue) across app chat, voice, and Zalo justify a multi-channel deployment rather than a single pilot.

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: Transaction ledger, Dispute management, CRM
  • · A named business owner for transaction dispute & wallet service resolution
  • · Security review counterpart and policy sign-off (Transaction ledger scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“Your super-app strategy monetizes trust. An agentic layer that resolves money-movement anxiety in one thread is a trust asset that compounds across every product you cross-sell.”

CIO / CTO

“You already run inference on Google Cloud GPUs. Gemini Enterprise extends that same estate with grounded agents on your ledger and dispute systems — no new cloud posture to defend.”

COO

“Salary-day and promo spikes force you to staff for peaks. Elastic conversational capacity absorbs the spike while your team keeps only the judgment cases.”

Chief Product Officer

“eKYC drop-off rescue is a growth feature disguised as support: every completed onboarding is recovered LTV across payments, credit, and investments.”

Chief Risk / Compliance Officer

“Every interaction is logged, scored, and policy-bounded — SBV grievance handling and Decree 13 consent rules become enforceable configuration, not training slides.”

CFO / Procurement

“Wallet margins cannot fund human-assisted contacts at scale. Moving the dominant contact classes to ~sub-dollar automated resolution changes the service cost curve permanently.”

Outreach

Pre-built offer emails for MoMo

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

30M+ user wallet with merchant, lending-partner, and eKYC support volumes; already runs AI on Google Cloud GPUs, so the platform conversation starts warm — but wallet economics demand sub-dollar interaction costs.

Recommended next step

Workshop with the CX and platform teams to size the dispute-contact class and scope a Zalo + in-app pilot on the transaction ledger.

Entry: Transaction dispute & wallet service resolution · 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.