TaiwanAirline (full-service carrier)Scale · $100K
China Airlines

The flag carrier's recovery, conversation by conversation — agentic disruption and multilingual service for China Airlines

China Airlines carries the flag with a rebuilt transpacific and regional network, a SkyTeam transfer flow and a passenger base spanning Mandarin, English, Japanese and Hokkien speakers; an agentic frontline that handles disruption proactively and serves every language around the clock gives the national carrier service resilience matching its network ambition — at economics a part-state-owned airline can defend publicly.

Entry use case
Disruption rebooking and refund-status service
Expected outcome
Absorb disruption spikes with proactive multilingual rebooking, suppressing refund-status repeat volume while service costs become publicly defensible usage economics.
Recommended next step
Formal briefing with service and operations leadership: baseline disruption-event volumes and refund repeat rates, then scope a procurement-ready pilot on the disruption workflow ahead of typhoon season.
What we understand

China Airlines's operating reality

China Airlines is Taiwan's flag carrier, with significant state-linked ownership, SkyTeam membership, and one of the world's larger air-cargo franchises alongside its passenger network.

Public fact

The carrier rebuilt and expanded passenger capacity post-pandemic across transpacific, Japan and Southeast Asian routes, with new widebody orders signaling long-term network growth.

Public fact

Taoyuan-hub operations face typhoon-season disruption concentrations, while transpacific routes add US-weather and time-zone service exposure.

Reasoned inference

As the state-linked flag carrier, service failures draw public and legislative attention beyond commercial consequences — and procurement carries public-accountability formality.

Reasoned inference

The passenger mix spans Taiwanese travelers (including Hokkien-preferring seniors), SkyTeam transfer traffic, Japanese leisure flows and North American routes.

Reasoned inference

Dynasty Flyer loyalty and refund-status inquiries likely dominate repeat-contact volume after disruption events.

Seller hypothesis — validate

Validate with the account team before outreach: Disruption-event volumes and current absorption capacity · State-linked procurement route and vendor requirements · PSS environment and rebooking-write integration options · Language mix by route including Hokkien-preference share

Build vs buy

Why we have a right to win here

Buy-led target

Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution

Evidence: China Airlines is a flag carrier whose technology change runs through aviation-industry vendors and the PSS estate, with no internal AI-platform program and a public-accountability procurement culture; conversational AI is a governed buy, structured for state-linked procurement formality.

Why they won't build the full stack: A part-state-owned carrier cannot credibly fund a speculative internal AI build, and its engineering priorities are fleet, cargo and network systems; a bought platform with auditable governance delivers disruption resilience this typhoon season at economics oversight bodies can inspect.

What management is signalling

China Airlines rebuilt passenger capacity post-pandemic with transpacific and regional growth and committed to new widebody fleet investment, alongside its major cargo franchise.

Reported factpublic fleet announcements and investor communications · 2024-2026

GTM implication: Network growth multiplies disruption-service exposure; position agentic service as the operations investment matching the fleet commitment.

Passenger yields and demand on Taiwan-linked routes have remained firm post-recovery, supporting service-investment capacity.

Inferencerecent investor communications (validate) · 2025-2026

GTM implication: Strong operating results make brand-protecting service investment fundable now rather than after the next public disruption failure.

What already exists (don't pitch this)
  • China Airlines app and web self-service
  • Dynasty Flyer loyalty program
  • SkyTeam alliance service infrastructure
  • Chatbot deflection on FAQs and LINE presence
What customers still can't do end-to-end (pitch this)
  • →Proactive disruption rebooking at spike scale
  • →Around-the-clock multilingual coverage including Hokkien voice service
  • →Refund-status self-service suppressing repeat calls
  • →Transactional depth beyond information lookup
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Disruption rebooking and refund-status service
Proactive rebooking in-channel across languages; refund status self-served; spikes absorbed without surge staffing.
Typhoon-season and transpacific disruption define the flag carrier's most public service moments.
Friction today: Spikes melt queues; rebooking runs agent-by-agent; refund-status calls repeat for weeks and occasionally become media stories.
App chatSMSVoiceLINE
Multilingual service line
Booking, baggage and special-service requests resolved around the clock in the passenger's language, including patient Hokkien voice service.
Flag-carrier service spans Mandarin, English, Japanese and Hokkien-preferring senior travelers — a staffing matrix no roster covers around the clock.
Friction today: Language coverage varies by shift; off-hours US-time-zone callers reach thin staffing; senior travelers struggle with app-only channels.
VoiceApp chatLINE
Dynasty Flyer loyalty desk
Award rules and status math answered precisely at any hour; specialists handle complex redemptions.
Loyalty members' award and status questions consume specialist capacity that scales poorly.
Friction today: Award availability and qualification questions queue; answers vary by agent.
App chatVoice
Watch the change

Disruption rebooking and refund-status service: today vs the agentic model

Scenario: A typhoon wave cancels an evening bank of departures; the agent proactively messages every affected passenger — rebooking the Kaohsiung grandmother onto tomorrow's flight in gentle Hokkien, the Tokyo-bound tour group in Japanese, the SkyTeam transfer passenger onto a partner routing — while refund-status subscriptions quietly absorb the follow-up volume that used to bury the call center for a month.
Today
same interaction, two worlds
Agentic layer
Disruption call spike
10× volume, melted queues
suppressed by proactive rebooking
Assumption
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · Disruption call spike: Operator-reported pattern (assumption); suppression measured in pilot
  • · 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
App chatSMSVoiceLINE

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 · China Airlines
PSS/reservationsDisruption managementPayments/refundsBaggage systemsCRMLoyalty platform

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

Trust & languages
Traditional ChineseEnglishJapaneseTaiwanese 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 interactions650K
Seller assumption — replace in discovery
Current cost per interaction ($)$4.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$2.6M
Current operating cost / mo
$15.7M
Modelled gross benefit / yr
0.1 mo
Payback on Scale
1018%
3-yr ROI (modelled)
Automated/assisted interactions per month358K
Modelled AI run-cost per month (usage + cloud, system estimate)$125K
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 China Airlines'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 China Airlines: Disruption service plus the multilingual service line are two bounded workflows over PSS integrations — Scale scope for a flag carrier balancing service ambition with public-sector cost accountability.

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: PSS/reservations, Disruption management, Payments/refunds
  • · A named business owner for disruption rebooking and refund-status service
  • · Security review counterpart and policy sign-off (PSS/reservations scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO / Chairman

“The flag carrier's service failures become national news; proactive, multilingual disruption service is reputational infrastructure — and its usage economics are defensible in any public accounting.”

CIO / CTO

“A governed agent layer above the PSS delivers proactive rebooking without touching the reservations core — procurement-formal, auditable, and benchmarked from pilot metrics.”

COO

“Typhoon-season staffing sized for the worst week sits idle most of the year; elastic capacity matches the disruption pattern and covers the time zones your roster cannot.”

Head of Customer Service

“Refund-status repeat calls and language-coverage gaps are your two chronic queue problems; proactive status and always-on multilingual service remove both at the source.”

Chief Risk / Compliance Officer

“Compensation applied consistently from approved matrices, 100% logging, every conversation auditable — the evidence posture a state-linked carrier's oversight environment expects.”

CFO / Procurement

“Usage-priced service capacity converts disruption-driven cost spikes into measured economics — a cost model that survives public-sector scrutiny and measures itself against your own baseline.”

Outreach

Pre-built offer emails for China Airlines

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 flag carrier — part-state-owned, SkyTeam member, with a major cargo franchise and a passenger network rebuilt across the Pacific and Asia — runs disruption-exposed operations with a multilingual passenger mix and the public-accountability service expectations of a national airline.

Recommended next step

Formal briefing with service and operations leadership: baseline disruption-event volumes and refund repeat rates, then scope a procurement-ready pilot on the disruption workflow ahead of typhoon season.

Entry: Disruption rebooking and refund-status service · 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.