MalaysiaBankingScale · $100K
Maybank

ASEAN's bank, Malaysia's four languages: agentic service for Maybank's MAE-first customer base

Deploy an agentic service and collections layer that speaks Malaysia's languages natively — grounding MAE, card, and financing conversations in core systems under BNM-grade governance, with a path to Maybank's regional markets.

Entry use case
Card & everyday-banking service resolution
Expected outcome
In-conversation resolution of card disputes, MAE payment questions, and financing servicing across four languages, with measured deflection from branch and hotline
Recommended next step
Executive briefing on a BNM-aligned reference architecture, then scope a card-dispute and scam-intake pilot on voice and WhatsApp.
What we understand

Maybank's operating reality

Maybank is Malaysia's largest bank by assets and one of ASEAN's leading banking groups, operating across Malaysia, Singapore, Indonesia, the Philippines and beyond, with its M25+ strategy publicly committing major investment to digital and technology transformation.

Public fact

The MAE app is Maybank's digital flagship for everyday banking, payments (DuitNow), and lifestyle features across a mass Malaysian base.

Public fact

Malaysian banking service reality is inherently multilingual — Bahasa Malaysia, English, Mandarin dialect-speakers, and Tamil — which staffed centers cover unevenly across shifts.

Reasoned inference

Scam and unauthorized-transaction anxiety has driven publicly visible fraud-response investments across Malaysian banks; fraud-related contacts spike unpredictably and demand immediate, accurate handling.

Public fact

Islamic financing products (Maybank Islamic is among the world's largest Islamic banks) add servicing conversations with distinct rules an agent must ground precisely.

Reasoned inference

A Malaysia-proven agentic layer could replicate to Maybank Indonesia and Philippines with language swaps rather than rebuilds.

Seller hypothesis — validate

Validate with the account team before outreach: Group conversational-AI initiatives already underway under M25+ · Contact volume by language and driver across hotline and branch · Fraud-desk process readiness for agentic structured intake

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: Maybank's M25+ transformation carries a large technology budget, but delivery runs through vendors and partners — the group builds customer experiences like MAE on procured platforms. BNM's RMiT governance expectations further favor hardened, auditable stacks over internal conversational-AI builds.

Why they won't build the full stack: A four-language conversational stack with fraud-grade intake is infrastructure, not differentiation; Maybank's differentiation is distribution, brand, and the regional franchise. M25+ deadlines reward configured outcomes over multi-year platform programs.

What management is signalling

The M25+ strategy publicly commits multi-billion-ringgit technology and digital investment, with progress reported in annual disclosures.

Reported factFY2024 annual report · 2025

GTM implication: Attach to funded M25+ workstreams — procurement moves faster inside an existing transformation envelope than as net-new spend.

What already exists (don't pitch this)
  • MAE app as the digital flagship with DuitNow payments
  • Publicly visible fraud-response investments and scam hotlines
  • Existing chatbot and IVR estate
  • Regional operating entities sharing group technology
What customers still can't do end-to-end (pitch this)
  • →Voice-quality parity across Bahasa Malaysia, English, Mandarin, and Tamil
  • →In-conversation actions (blocks, disputes, limits) outside the app
  • →Minutes-fast structured scam intake around the clock
  • →Day-1 collections coverage on financing books
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Card & MAE service resolution
Grounded resolution in the customer's language with in-conversation actions (blocks, disputes, limits) and warm fraud-desk handoff.
The highest-volume contact classes — disputed charges, failed DuitNow transfers, card controls — are all groundable in systems Maybank already runs.
Friction today: Hotline queues and branch visits for answers the app almost gives; language coverage varies by shift.
VoiceMAE app chatWhatsApp
Scam-report rapid intake
Immediate structured intake, card/account actions within policy, instant escalation to the fraud desk with full transcript.
Minutes matter in fraud interception; a 24/7 structured intake in any language protects both customers and the bank's public standing.
Friction today: Panicked customers navigate IVRs while transfer windows close.
VoiceWhatsAppApp chat
Financing early-delinquency contact
Day-1 multilingual outreach with matrix-bounded arrangements and automatic follow-through.
Auto and personal financing books benefit from dignified, consistent early outreach at full coverage.
Friction today: Collector capacity concentrates on later buckets where cure is hardest.
VoiceWhatsAppSMS
Watch the change

Card & everyday-banking service resolution: today vs the agentic model

Scenario: A customer spots an unrecognized card charge at 11pm; the agent verifies identity, blocks the card, files the dispute, and books a fraud-desk callback — in Tamil, in six minutes.
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
VoiceMAE app chatWhatsAppApp chatSMS

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 · Maybank
Core bankingCard systemFraud case managementFraud systemsCollections platformFinancing systems

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

Trust & languages
Bahasa MalaysiaEnglishMandarinTamil

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 interactions3.5M
Seller assumption — replace in discovery
Current cost per interaction ($)$1.2
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$4.2M
Current operating cost / mo
$19.6M
Modelled gross benefit / yr
0.1 mo
Payback on Scale
241%
3-yr ROI (modelled)
Automated/assisted interactions per month1.9M
Modelled AI run-cost per month (usage + cloud, system estimate)$674K
New monthly operating cost$2.6M

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 Maybank'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 Maybank: Four-language coverage across service and collections workflows, integrated with core and card systems, is a Scale-shaped deployment; regional replication (Indonesia, Philippines, Singapore) is the expansion story.

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: Core banking, Card system, Fraud case management
  • · A named business owner for card & everyday-banking service resolution
  • · Security review counterpart and policy sign-off (Core banking scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“M25+ promised differentiated customer experience at ASEAN scale. Service conversations in all four of Malaysia's languages, resolved on first contact, is that promise made tangible — then exported regionally.”

CIO / CTO

“An agentic layer grounded in core, card, and fraud systems under central governance — one platform your regional entities can adopt as configuration, not new programs.”

COO

“Language-coverage rostering stops constraining service levels, and fraud-intake capacity becomes instant and elastic — the two hardest scheduling problems in your operation.”

Head of Group Community Financial Services

“Card disputes and MAE payment issues close in one conversation with actions executed, not tickets raised — the everyday moments that decide primacy.”

Chief Risk / Compliance Officer

“BNM's RMiT expectations, e-KYC rules, and PDPA consent are enforced in configuration with 100% interaction logging — and fraud intake gets faster without getting looser.”

CFO / Procurement

“Deflection across four languages from one deployment beats staffing four language pools across three shifts — the unit economics are structural, not incremental.”

Outreach

Pre-built offer emails for Maybank

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

Malaysia's largest bank and a top-ASEAN franchise with the MAE app as a regional digital flagship and a publicly funded M25+ transformation program — the scale, budget, and multilingual service reality (Bahasa, English, Mandarin, Tamil) all align.

30 / 60 / 90-day plan
  • Day 0–30: Executive briefing on a BNM-aligned reference architecture, then scope a card-dispute and scam-intake pilot on voice and WhatsApp.; confirm sponsor and baseline data access; validate: Group conversational-AI initiatives already underway under M25+
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + MAE app chat; pilot scope signed
  • Day 61–90: Scale package kickoff; card & everyday-banking service resolution pilot in build; success thresholds locked with the Head of Group Community Financial Services
Recommended next step

Executive briefing on a BNM-aligned reference architecture, then scope a card-dispute and scam-intake pilot on voice and WhatsApp.

Entry: Card & everyday-banking 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.