KoreaBankingScale · $100K
Shinhan Bank

From AI branch tellers to an AI phone line — completing Shinhan's digital shift for the customers who still dial

Shinhan has publicly piloted AI bankers in branches while consolidating its physical network; the phone channel is where its older, loyal customer base actually lands, and an honorific-fluent Korean voice agent lets Shinhan shrink branch costs without abandoning the customers digital apps leave behind.

Entry use case
Everyday banking service line (balances, transfers, certificates, branch guidance)
Expected outcome
Resolve the routine majority of phone banking in-conversation, cutting queue times for the older customers most affected by branch closures.
Recommended next step
Present a Korea-compliant reference architecture to IT risk, then scope a Scale deployment starting with the everyday banking line ahead of the next rate-change cycle.
What we understand

Shinhan Bank's operating reality

Shinhan Bank is a flagship of Shinhan Financial Group, one of Korea's largest banking groups, and has publicly showcased AI-banker deployments and digital-branch formats.

Public fact

Korean banks, Shinhan included, have been steadily consolidating branch networks, drawing regulatory and political attention to service access for elderly customers.

Public fact

The customers displaced by branch closures skew older and phone-first — exactly the demographic least served by app-only digital shift.

Reasoned inference

Korean honorific speech levels are a genuine quality bar for voice AI in banking; a wrong register with a 70-year-old depositor is a brand incident.

Reasoned inference

Contact volume likely spikes around rate changes, government loan programs and deposit-product maturities.

Seller hypothesis — validate

FSC cloud and outsourcing rules for financial institutions will shape the deployment architecture and must lead the conversation.

Reasoned inference

Validate with the account team before outreach: Incumbent AICC vendor relationships (Korean telcos sell competing AI contact-center stacks) · FSC/cloud compliance route for LLM processing of banking conversations · Actual phone-channel demographics and volume trend post branch consolidation

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: Shinhan has real digital capability — AI-banker branch pilots, a large IT organization and group digital programs — but it buys platforms for regulated production systems and works through vendors and Korean AICC providers; it needs a partner for honorific-quality voice AI, FSC-compliant cloud architecture and contact-center-scale delivery.

Why they won't build the full stack: A bank's engineering priority is core banking, channels and regulatory programs, not building and evaluating LLM voice infrastructure; FSC cloud/outsourcing rules reward a governed, auditable platform with human gates over an internal science project, and honorific-register Korean speech quality is a specialist capability no bank team will staff.

What management is signalling

Korean banks including Shinhan continue consolidating branch networks while regulators press on service access for elderly customers — a publicly visible tension in the digital-shift program.

Reported factpublic disclosures and Korean regulatory commentary · 2025

GTM implication: Position the honorific-fluent AI phone line as the service-access answer that lets branch consolidation continue without political cost.

Group profitability targets likely keep cost-income ratio improvement central, with contact-center growth partially recapturing branch savings.

Inferencerecent investor communications (validate) · 2025-2026

GTM implication: Quantify the leak: measured cost-per-call reduction on the everyday banking line, presented against the branch-savings narrative the group already reports.

What already exists (don't pitch this)
  • SOL mobile banking app with broad self-service
  • AI-banker digital-branch pilots publicly showcased
  • IVR phone banking and KakaoTalk notification channels
  • Digital-shift program consolidating physical branches
What customers still can't do end-to-end (pitch this)
  • →Natural-language phone banking for the older, phone-first customers displaced by branch closures
  • →Transactional depth on voice — transfers, certificates, rollovers completed in-conversation
  • →Cross-channel context between branch, app and phone
  • →Proactive deposit-maturity outreach beyond SMS blasts
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Everyday banking service line
Routine phone banking resolved in natural honorific Korean; human time reserved for advice and exceptions.
Routine balance, transfer, certificate-issuance and branch-guidance calls dominate volume and queue behind complex cases.
Friction today: IVR trees frustrate older callers; simple requests wait for scarce human capacity.
VoiceApp chatKakaoTalk
Loan and mortgage servicing desk
Grounded servicing answers at scale during rate events; regulated decisions stay human.
Rate resets and government housing-program changes drive urgent, complex inquiry waves.
Friction today: Rate and repayment questions exceed IVR capability and swamp specialists during policy shifts.
VoiceApp chat
Deposit-maturity and retention outreach
Every maturing customer gets a conversation with policy-bounded rollover offers; retention measured.
Maturing time deposits are Korea's most contested retention moment as customers rate-shop across banks.
Friction today: Outbound maturity calls are capacity-limited; most customers get only an SMS.
VoiceKakaoTalkSMS
Watch the change

Everyday banking service line (balances, transfers, certificates, branch guidance): today vs the agentic model

Scenario: A 68-year-old customer whose branch closed calls to move a maturing deposit; the agent, speaking in proper honorifics, verifies identity, explains rollover options from the approved product set, executes the transfer and books a video consultation for the investment question that deserves a human.
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 chatKakaoTalkSMS

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 · Shinhan Bank
Core bankingCRMCertificate systemsLoan systemsDeposit systemsOffer matrix

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

Trust & languages
KoreanEnglish

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 interactions1.5M
Seller assumption — replace in discovery
Current cost per interaction ($)$5.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$7.5M
Current operating cost / mo
$46.0M
Modelled gross benefit / yr
0.0 mo
Payback on Scale
1315%
3-yr ROI (modelled)
Automated/assisted interactions per month825K
Modelled AI run-cost per month (usage + cloud, system estimate)$289K
New monthly operating cost$3.7M

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 Shinhan Bank'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 Shinhan Bank: A major bank's contact center justifies multi-workflow scope — everyday service plus loan servicing plus proactive maturity outreach — with the integration depth Scale is built for.

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, CRM, Certificate systems
  • · A named business owner for everyday banking service line (balances, transfers, certificates, branch guidance)
  • · 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

“Branch consolidation only works politically and commercially if service access visibly improves; an honorific-fluent AI phone line is the proof point regulators and older customers will both feel.”

CIO / CTO

“You've already crossed the AI-banker Rubicon in branches; extending the same posture to the phone estate on a governed platform is the logical next system, architected to FSC cloud rules.”

COO

“Every closed branch reroutes its customers to your phones; agentic capacity absorbs that structural volume shift without rebuilding the cost you just removed.”

Head of Retail Banking / Contact Center

“Your queues are rate-event-driven and demographically phone-first; an agent that handles the routine 70% in flawless honorifics changes both your wait times and your staffing model.”

Chief Risk / Compliance Officer

“Deployment is designed to Korea's financial cloud and outsourcing rules: human gates on all regulated decisions, complete logging, and an evaluation framework your audit team can inspect.”

CFO / Procurement

“Branch savings are being partially recaptured by contact-center growth; this closes that leak with a measured cost-per-call number, usage billed on consumption.”

Outreach

Pre-built offer emails for Shinhan 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

One of Korea's big-four banks, publicly committed to AI-staffed branches and digital shift while consolidating physical branches — a large contact-center estate plus an aging customer base that still calls.

Recommended next step

Present a Korea-compliant reference architecture to IT risk, then scope a Scale deployment starting with the everyday banking line ahead of the next rate-change cycle.

Entry: Everyday banking service line (balances, transfers, certificates, branch guidance) · 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.