TaiwanAirline (full-service carrier)Scale · $100K
EVA Air

Ninety flights a week across the Pacific — agentic disruption and multilingual service for EVA Air's expansion

EVA's growth strategy stretches its service operation across the Pacific — every new US frequency adds passengers whose delays, rebookings and refund questions arrive in Mandarin, English, Japanese and Taiwanese Hokkien across time zones Taipei staffing cannot cover; an agentic frontline that rebooks proactively during disruption and serves every language around the clock protects the premium-service brand the expansion is priced on.

Entry use case
Disruption rebooking and refund-status service
Expected outcome
Absorb disruption spikes with proactive rebooking in-channel across languages and time zones, suppressing the refund-status repeat calls that follow every event.
Recommended next step
Disruption-economics workshop with service and operations leadership: baseline event-driven volume spikes and refund-status repeat rates, then pilot proactive disruption service on the transpacific network.
What we understand

EVA Air's operating reality

EVA Air, part of the Evergreen Group, is Taiwan's premium private carrier — a five-star-rated airline with a major transpacific network from its Taoyuan hub.

Public fact

EVA has expanded aggressively across the Pacific — approaching a hundred weekly North American frequencies with new destinations including Dallas/Fort Worth and announced growth plans — alongside European additions.

Public fact

Transpacific operations concentrate disruption risk: typhoon seasons at the hub, winter storms at US destinations, and time-zone spreads that put peak disruption outside Taipei business hours.

Reasoned inference

EVA's passenger mix spans Taiwanese, North American, Southeast Asian transfer and Japanese traffic — a four-plus-language service reality on every disrupted flight.

Reasoned inference

Premium positioning raises the service bar: five-star ratings are earned in disruption moments, not smooth flights.

Reasoned inference

Refund and mileage (Infinity MileageLands) status inquiries likely dominate repeat-contact volume for weeks after each disruption event.

Seller hypothesis — validate

Validate with the account team before outreach: Disruption-event volume spikes and current absorption capacity · PSS environment and rebooking-write integration route · Language mix by route and time-zone service coverage today · Evergreen Group technology-vendor dynamics

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: EVA Air is an operations-first premium carrier whose technology runs through the PSS estate and aviation vendors, with no internal AI-platform program; expansion consumes its change capacity, making conversational AI a clear governed buy timed to network growth.

Why they won't build the full stack: An airline adding transpacific frequencies has every operations dollar committed to fleet, crew and network; multilingual disruption automation is a specialized platform capability no carrier builds economically — buying it delivers protection for this typhoon season, not a future one.

What management is signalling

EVA Air's transpacific expansion is public and continuing — new US destinations, frequency growth toward a hundred weekly North American services and widebody fleet commitments.

Reported factpublic route announcements and investor communications · 2025-2026

GTM implication: Time the proposal to the expansion calendar: every new route adds disruption-service exposure the current operation must absorb.

Strong transpacific demand has kept Taiwanese carriers' capacity and yields elevated post-recovery, with fleet investment signaling confidence.

Inferencerecent investor communications (validate) · 2025-2026

GTM implication: Strong earnings fund brand-protecting investment — position disruption service as insurance on the premium yields.

What already exists (don't pitch this)
  • EVA Air app and web self-service for booking and check-in
  • Infinity MileageLands loyalty program
  • Chatbot deflection on FAQs and LINE presence
  • Five-star service operation and premium cabin brand
What customers still can't do end-to-end (pitch this)
  • →Proactive disruption rebooking in-channel at spike scale
  • →Around-the-clock service across US time zones in four languages
  • →Refund-status self-service that suppresses repeat calls
  • →Transactional depth — changes still require human agents
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Disruption rebooking and refund-status service
Affected passengers messaged proactively with rebooking options in-channel; refund status self-served; spikes absorbed without surge staffing.
Transpacific disruption strands passengers across twelve time zones; the recovery experience defines the premium brand.
Friction today: Disruption spikes melt queues exactly when they matter; rebooking runs agent-by-agent; refund-status calls repeat for weeks.
App chatSMSVoiceLINE
Multilingual service line (booking, baggage, special service)
Booking changes, baggage status and special-service requests resolved around the clock in the passenger's language.
Four-language service across time zones is EVA's structural staffing problem; every language-hour staffed in Taipei serves a fraction of the clock.
Friction today: Off-hours callers from US time zones reach thin overnight staffing; language coverage varies by shift.
VoiceApp chatLINE
Infinity MileageLands loyalty desk
Award rules and status math answered precisely at any hour; specialists handle complex redemptions with context.
Premium loyalty members generate award-booking and status questions that consume specialist time.
Friction today: Award availability and status-qualification questions queue to loyalty specialists; answers vary.
App chatVoice
Watch the change

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

Scenario: A typhoon closes Taoyuan as EVA's Dallas flight boards; the agent messages every connecting passenger with rebooking options in their own language — Mandarin for the Taipei family, English for the Texan business traveler, Japanese for the Osaka transfer — confirms new itineraries in-channel, books hotel vouchers within policy and schedules refund-status updates — the five-star brand kept intact at the worst moment.
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 · EVA Air
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 interactions700K
Seller assumption — replace in discovery
Current cost per interaction ($)$4.5
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$3.1M
Current operating cost / mo
$19.2M
Modelled gross benefit / yr
0.1 mo
Payback on Scale
1160%
3-yr ROI (modelled)
Automated/assisted interactions per month385K
Modelled AI run-cost per month (usage + cloud, system estimate)$135K
New monthly operating cost$1.6M

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 EVA Air'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 EVA Air: Disruption service plus loyalty and general servicing are bounded workflows over PSS and loyalty integrations — Scale scope timed to the transpacific expansion calendar.

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 transpacific expansion is a service-capacity bet as much as a fleet bet; agentic disruption service that scales with the network protects the premium brand every new route stakes.”

CIO / CTO

“A governed agent layer above the PSS and disruption systems delivers proactive rebooking without re-platforming reservations — deployed in quarters, timed to the expansion calendar.”

COO

“Disruption staffing sized for typhoon-day peaks sits idle most of the year; elastic capacity matches the spike pattern exactly and covers US-time-zone hours Taipei shifts cannot.”

Head of Customer Service

“Refund-status repeat calls bury your queues for weeks after every event; proactive status updates in-channel suppress that volume at the source.”

Chief Risk / Compliance Officer

“Compensation and rebooking policy applied consistently from approved matrices with 100% logging — consumer-protection evidence across every jurisdiction the network touches.”

CFO / Procurement

“Expansion multiplies service exposure faster than revenue in year one of each route; usage-priced capacity matches that curve, measured against your own disruption-cost baseline.”

Outreach

Pre-built offer emails for EVA Air

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

Taiwan's premium private carrier is executing a transpacific expansion — new US routes, near-hundred weekly North American frequencies and a widebody order book — that multiplies disruption-service exposure across time zones and languages exactly as service volume scales with the network.

30 / 60 / 90-day plan
  • Day 0–30: Disruption-economics workshop with service and operations leadership: baseline event-driven volume spikes and refund-status repeat rates, then pilot proactive disruption service on the transpacific network.; confirm sponsor and baseline data access; validate: Disruption-event volume spikes and current absorption capacity
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on App chat + SMS; pilot scope signed
  • Day 61–90: Scale package kickoff; disruption rebooking and refund-status service pilot in build; success thresholds locked with the Head of Customer Service
Recommended next step

Disruption-economics workshop with service and operations leadership: baseline event-driven volume spikes and refund-status repeat rates, then pilot proactive disruption service on the transpacific network.

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.