TaiwanBankingLaunch · $50K
E.SUN Bank

Taiwan's service-quality bank, automated without losing its manners — an agentic frontline at E.SUN's standard

E.SUN competes against bigger balance sheets with a service reputation it protects fiercely, which makes automation a brand risk unless the conversation quality clears E.SUN's own bar; a Gemini-powered frontline that resolves servicing in flawless Traditional Chinese — and Hokkien for the customers who prefer it — lets the service-quality leader scale its differentiation instead of diluting it.

Entry use case
Retail servicing line (account, card, digital-banking support)
Expected outcome
Resolve routine servicing at brand-standard conversation quality, cutting queues while E.SUN's human service culture concentrates on the moments that built the reputation.
Recommended next step
Quality-bar workshop with service and digital leadership: define acceptance criteria in E.SUN's own service-scoring terms, then pilot one servicing line with Hokkien voice testing.
What we understand

E.SUN Bank's operating reality

E.SUN Financial Holding's E.SUN Bank has built one of Taiwan's strongest service-quality and ESG reputations, winning domestic service awards repeatedly while growing wealth management and SME banking.

Public fact

E.SUN has publicly collaborated with Google Cloud on technology initiatives, among Taiwanese banks' most-reported cloud-AI engagements.

Public fact

As a mid-size player against Cathay, Fubon and CTBC scale, E.SUN's economics reward automation that preserves its differentiation — service — rather than commodity cost-cutting.

Reasoned inference

Taiwan's PDPA and FSC cloud rules apply, but E.SUN's existing public cloud posture suggests a navigated compliance route.

Reasoned inference

Wealth-management growth strains licensed-banker capacity — the same triage problem as larger rivals, at a size where every banker-hour counts more.

Reasoned inference

E.SUN's older retail customers likely include significant Hokkien-preference segments its award-winning human service handles today — the bar automation must meet.

Seller hypothesis — validate

E.SUN has publicly-reported collaborations with Google Cloud on data and AI initiatives — a named existing relationship this proposal extends into the service frontline.

Publicly reported Google Cloud relevance

Validate with the account team before outreach: Scope of existing Google Cloud collaboration and stakeholders who own it · Service-quality scoring framework to adopt as acceptance criteria · Actual servicing volumes and peak patterns · FSC/PDPA route already navigated for cloud workloads

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: E.SUN is genuinely technology-forward with publicly-reported Google Cloud collaboration and strong data teams, but its scale cannot sustain internal conversational-AI infrastructure; the motion is partner-led on existing cloud rails — E.SUN co-designs quality and governance, the platform supplies the conversational depth.

Why they won't build the full stack: A mid-size bank whose differentiation is service quality has the most to lose from mediocre in-house automation and the least capacity to fund frontier-grade builds; extending an existing cloud partnership with a quality-gated bought platform is the only route that protects the brand while capturing the economics.

What management is signalling

E.SUN Financial's investor narrative emphasizes wealth-management fee growth, SME banking and sustained service/ESG differentiation against larger FHC rivals.

Inferencerecent investor communications (validate) · 2025-2026

GTM implication: Frame automation as scaling the differentiation strategy — service quality made elastic — not as commodity cost reduction.

Record Taiwan FHC sector earnings in H1 2026 include strong mid-size performers, supporting technology investment capacity.

Reported factH1 2026 sector results · Jul 2026

GTM implication: The budget window is open; propose within the current cycle.

What already exists (don't pitch this)
  • E.SUN mobile banking app with strong ratings
  • Publicly-reported Google Cloud technology collaboration
  • LINE official-account channels
  • Award-winning human service culture and scoring discipline
What customers still can't do end-to-end (pitch this)
  • →Voice automation at the bank's own service-quality bar; no Hokkien capability
  • →After-hours servicing depth
  • →Wealth-triage protecting licensed hours
  • →Elastic peak capacity without quality dilution
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Retail servicing line
Routine servicing resolved at brand-standard tone with transactions executed; human service concentrates where it differentiates.
Routine account, card and digital-support volume is the bulk of contacts; automating it at brand quality frees the human service culture for high-touch moments.
Friction today: Queues at peaks contradict the service brand; digital-banking support questions repeat; quality consistency depends on staffing.
VoiceApp chatLINE
Wealth-service triage and appointment desk
Governed answers for routine questions, licensed conversations booked with context; banker hours shift to advice.
Wealth fee income is the growth engine; licensed hours are scarcer at mid-size scale.
Friction today: Routine product questions consume banker time; bookings are manual.
VoiceApp chatLINE
SME banking service desk
SME servicing answered around the clock with live status; relationship managers reclaim advisory time.
E.SUN's SME franchise generates payments, FX and loan-status inquiries from owners who call outside banking hours.
Friction today: Business owners queue during their own workday; trade and FX status needs specialist callbacks.
VoiceApp chat
Watch the change

Retail servicing line (account, card, digital-banking support): today vs the agentic model

Scenario: A long-tenured customer in Changhua calls about a failed transfer in the Hokkien she has always used at her branch; the agent resolves the daily-limit issue, executes the transfer within policy, and books her preferred branch banker for the trust-account question — the service manner E.SUN's awards were built on, now available at midnight.
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
VoiceApp chatLINE

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 · E.SUN Bank
Core bankingCard platformCRMWealth platformSchedulingTrade finance

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

Trust & languages
Traditional ChineseEnglishTaiwanese Hokkien

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 interactions700K
Seller assumption — replace in discovery
Current cost per interaction ($)$3.5
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$2.5M
Current operating cost / mo
$14.6M
Modelled gross benefit / yr
0.0 mo
Payback on Launch
890%
3-yr ROI (modelled)
Automated/assisted interactions per month385K
Modelled AI run-cost per month (usage + cloud, system estimate)$135K
New monthly operating cost$1.2M

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 E.SUN Bank's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Launch — $50K implementation

Launch · $50K · A focused, fast production pilot8–10 weeks to a live, measured pilot

Why this package for E.SUN Bank: A quality-gated pilot on one servicing line fits a bank whose brand equity demands acceptance testing before scale — prove the conversation bar first, then expand on evidence.

Included
  • Up to 3 channels
  • One priority workflow
  • Limited enterprise integrations (1–2 systems)
  • API credential & security setup
  • Core conversational + workflow configuration
  • Basic analytics
  • Controlled production pilot with defined success criteria
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Additional workflows
  • ✕Multi-geography rollout
  • ✕Managed operations
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 platform, CRM
  • · A named business owner for retail servicing line (account, card, digital-banking support)
  • · 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

“E.SUN's moat is reputation; an agentic frontline that clears your own service bar scales the moat — and extends the Google Cloud collaboration the bank has already made public.”

CIO / CTO

“Your cloud posture is ahead of Taiwanese peers; a governed agent layer on existing rails is the natural next chapter — quality-gated, benchmarked, expandable on evidence.”

COO

“Peak queues are where the service brand leaks; elastic capacity at brand tone removes the one operational failure mode your reputation cannot afford.”

Head of Retail Banking

“Your human service culture is the differentiator; automation that absorbs the routine lets that culture concentrate on the conversations that win awards and referrals.”

Chief Risk / Compliance Officer

“Quality-gated rollout with enforced scripts, licensed-matter routing and 100% logging — governance evidence that matches the conduct reputation, PDPA-aligned.”

CFO / Procurement

“A Launch pilot prices the proof modestly; cost per contact and quality scores against your own bar, with scale decisions made on measured evidence.”

Outreach

Pre-built offer emails for E.SUN Bank

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

Taiwan's most admired mid-size bank built its brand on service quality and digital innovation — a publicly-reported Google Cloud collaborator, perennial service-award winner and wealth-management riser — making it the Taiwanese bank most culturally ready for agentic service and most sensitive to its quality bar.

Recommended next step

Quality-bar workshop with service and digital leadership: define acceptance criteria in E.SUN's own service-scoring terms, then pilot one servicing line with Hokkien voice testing.

Entry: Retail servicing line (account, card, digital-banking support) · Launch package · 8–10 weeks to a live, measured pilot. 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.