Give Public Bank an agentic layer for mortgage and hire-purchase servicing, early-delinquency outreach, and retail service in Bahasa Malaysia, English, Mandarin, and Tamil — extending the lowest cost-income ratio in Malaysian banking into the conversation layer.
Public Bank is Malaysia's third-largest banking group and its efficiency benchmark — consistently reporting the lowest cost-income ratio among large Malaysian banks — with leading domestic market shares in residential mortgages and hire-purchase (auto) financing.
Public factIts 2024–25 acquisition of a controlling stake in LPI Capital tied the group closer to general insurance distribution, adding renewal and claims-adjacent service surfaces to the retail relationship.
Public factA mortgage-and-HP-dominated book generates steady, predictable servicing volume — statements, payoff quotes, insurance renewals, early-arrears reminders — that branch staff handle today at branch cost.
Reasoned inferenceMalaysia's multilingual reality (Bahasa Malaysia, English, Mandarin dialect-speakers, Tamil) makes staffed multi-language coverage structurally expensive — and precisely the platform advantage of a multilingual agentic layer.
Reasoned inferenceBNM's fair-treatment and e-KYC frameworks, plus Malaysia's PDPA, define the conduct envelope; a conservative bank will require evidence-grade logging before any customer-facing AI.
Reasoned inferenceThe founder-era culture of cost discipline survives as institutional identity; investments framed as efficiency-compounding rather than transformation-theater fit the house style.
Seller hypothesis — validateValidate with the account team before outreach: Loan-servicing and core API accessibility for grounding · BNM posture on conversational AI in customer servicing · Post-LPI integration plans for insurance-renewal servicing
Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution
Evidence: Public Bank's technology posture is deliberately minimalist — it runs efficient, conservative systems and has never pursued attacker-style digital builds; its brand of discipline is buying proven capability late and deploying it well. Conversational infrastructure will be bought, with evidence-grade conduct logging as the gate.
Why they won't build the full stack: Building platforms is the opposite of the franchise playbook: it adds fixed cost and execution risk in a domain with no differentiation upside for a bank whose moat is credit discipline and cost control. A bought layer compounds the existing moat.
Management continues to emphasize industry-leading cost efficiency and asset quality, with the LPI Capital acquisition deepening the bancassurance-adjacent franchise.
GTM implication: Frame everything as cost-income-ratio arithmetic — the single metric this institution's culture is built around.
| Workflow | Why it matters here | Value | Complexity | Speed | Channels |
|---|---|---|---|---|---|
Mortgage & HP servicing Grounded answers and in-conversation actions (statements, quotes, renewal confirmations) in four languages, with branch handoff for advice moments. | The bank's two dominant books generate the bulk of predictable service volume — the cheapest large deflection pool available. Friction today: Payoff quotes, statement requests, and insurance-renewal questions route to branches and the hotline at staffed cost. | WhatsAppIn-app chatVoice | |||
Early-arrears payment outreach Policy-timed reminders with payment links in-channel, bounded rescheduling options, hardship routed to officers — fully logged for BNM fair-treatment review. | Low NPLs are the franchise's pride; keeping them low as the cycle turns is cheaper than curing them later. Friction today: Early-arrears reminders are letters and SMS; two-way resolution requires branch or collector contact. | WhatsAppSMSVoice | |||
Retail service & card support Grounded resolution in BM, English, Mandarin, and Tamil across channels with warm handoff and full context. | Bulk balance, card, and FD questions should resolve at self-service economics in the customer's language. Friction today: Multi-language demand meets a hotline staffed primarily in BM and English. | WhatsAppIn-app 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 Public Bank's measured baseline. Package price covers implementation only; recurring usage billed separately.
Why this package for Public Bank: Loan servicing, payment outreach, and retail service share one core integration across the bank's dominant product lines; multi-language coverage (BM, Mandarin, Tamil) is native to the deployment, not an add-on.
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.
“Public Bank's moat is discipline compounded over decades. An agentic service layer is that same discipline applied to conversations — lowering unit service cost from an already-lowest base, in all four languages your customers actually speak.”
“A bounded, partner-delivered integration into loan servicing and core systems — no transformation program, no platform bet, just the house pattern: proven capability, carefully deployed.”
“Branch staff stop producing payoff quotes and statement copies; the hotline stops absorbing renewal reminders; both refocus on the advice and exception work that justifies their cost.”
“Servicing quality on the mortgage and HP books becomes measurable and multilingual, and early-arrears outreach lifts cure rates before accounts ever reach collections cost.”
“BNM fair-treatment expectations and PDPA consent enforced as configuration with 100% logged interactions — the evidentiary standard a conservative institution requires before automation touches customers.”
“The bank that wins on cost-income ratio gets a tool that directly lowers it: implementation plus usage pricing, deflection measured against branch and hotline unit costs you already know precisely.”
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.
Malaysia's most efficient large bank — the leading residential-mortgage and hire-purchase lender with a famously low cost-income ratio and conservative culture — where an agentic service layer is the rare investment that deepens, rather than dilutes, the cost discipline that defines the franchise.
Baseline branch and hotline volume for payoff-quote, statement, and renewal contacts, then pilot WhatsApp servicing on the HP book in one region.
Entry: Hire-purchase & mortgage servicing and payment outreach · 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.