JapanEnergy utilityScale · $100K
Kansai Electric Power

Winning beyond Kansai — agentic acquisition, moving and billing service for KEPCO's nuclear-priced retail push

Kansai Electric's restarted nuclear fleet gives it the cheapest generation position among major utilities, and it is spending that advantage on winning retail customers inside and outside its home region; an agentic frontline that converts switching inquiries in minutes, executes moving-season start/stop in-conversation, and serves billing questions at software cost lets the growth strategy scale without rebuilding a regional call-center estate into a national one.

Entry use case
Switching and moving-season service desk
Expected outcome
Convert switching inquiries and execute start/stop in-conversation through the spring spike, cutting acquisition friction and seasonal surge staffing.
Recommended next step
Workshop with retail-business leadership: baseline switching-funnel drop-off and moving-season volumes, then scope a Scale pilot on the switching and start/stop desk before next spring.
What we understand

Kansai Electric Power's operating reality

Kansai Electric operates Japan's largest restarted nuclear fleet, giving it a structural generation-cost advantage among major utilities.

Public fact

The company competes for retail customers beyond its home region in the liberalized market, where price advantage converts only if acquisition and service friction stay low.

Public fact

The sector's 2023 compliance episodes — including customer-information handling issues during liberalization — left conduct governance a live topic across former regional monopolies.

Public fact

March-April moving season concentrates start/stop and switching requests into a spike a regional contact estate meets with queues.

Reasoned inference

An aging Kansai customer base remains phone-first for billing and contract matters, holding keigo-quality voice as the automation bar.

Reasoned inference

Out-of-region acquisition likely leans on web channels where drop-off between quote interest and completed switch is significant and unmeasured.

Seller hypothesis — validate

Validate with the account team before outreach: Switching-funnel volumes and drop-off by channel · CIS integration constraints for conversational contract execution · Conduct-governance requirements shaped by the sector's 2023 episodes · Out-of-region growth targets and current acquisition economics

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: KEPCO's engineering is generation and grid engineering; customer-facing technology is vendor-delivered with no internal AI platform, and the retail growth motion needs capability this year — a governed buy is the natural and fastest path.

Why they won't build the full stack: Building conversational AI in-house would consume years and engineering the nuclear and grid businesses monopolize; a bought platform converts the cost advantage into retail growth now, with conduct governance stronger than the status quo.

What management is signalling

Kansai Electric's restarted nuclear fleet underpins a generation-cost position management highlights in results, supporting competitive retail pricing.

Reported factFY2025 results commentary · 2025

GTM implication: The cost advantage is the acquisition story — pitch conversational switching as the conversion engine that monetizes it.

Retail competition among former regional utilities continues to pressure customer counts and margins outside home regions.

Inferencerecent investor communications (validate) · 2025-2026

GTM implication: Frame service capacity as the constraint on out-of-region growth targets rather than a cost line.

What already exists (don't pitch this)
  • Web and app self-service for contracts and billing
  • hapi e-miruden usage portal
  • Outage-information pages and notifications
  • IVR and regional contact-center estate
What customers still can't do end-to-end (pitch this)
  • →Conversational switching completion in minutes
  • →In-conversation start/stop through the moving spike
  • →Proactive two-way outage communication
  • →National-scale service capacity matching the growth ambition
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Switching and moving-season service desk
Switching completed conversationally in minutes with plan comparison from the approved matrix; start/stop executed against CIS through the spike.
Growth is the strategy; switching friction and the hikkoshi spike are where growth leaks.
Friction today: Switch-interested households abandon web forms or queue by phone; moving-season start/stop stacks into the same lines.
VoiceWebLINEApp chat
Billing and contract service desk
Billing explained and plans optimized in keigo-grade conversation; cost per contact drops on the largest queue.
Billing questions are the volume floor across millions of accounts, answerable from data already held.
Friction today: Rate-plan complexity and fuel-adjustment questions drive calls requiring CIS lookups and patient explanation.
VoiceWebApp chat
Outage and restoration communication
Proactive area-based updates suppress call volume; vulnerable-customer checks prioritized.
Typhoon-day information demand swamps lines exactly when trust is exposed.
Friction today: Restoration-status calls flood during storms; updates lag areas.
SMSLINEVoiceWeb
Watch the change

Switching and moving-season service desk: today vs the agentic model

Scenario: A Nagoya household comparing power companies starts a LINE conversation at 9pm; the agent compares their current bill against KEPCO's plan, completes the switch application in twelve minutes, and schedules the supply start — an out-of-region acquisition closed overnight that the web form would have lost at the third screen.
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
VoiceWebLINEApp chatSMS

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 · Kansai Electric Power
CIS/billingPlan catalogCRMSmart-meter dataOutage managementGIS/area data

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

Trust & languages
JapaneseEnglish

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 interactions1.2M
Seller assumption — replace in discovery
Current cost per interaction ($)$4.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$4.8M
Current operating cost / mo
$28.9M
Modelled gross benefit / yr
0.0 mo
Payback on Scale
1029%
3-yr ROI (modelled)
Automated/assisted interactions per month660K
Modelled AI run-cost per month (usage + cloud, system estimate)$231K
New monthly operating cost$2.4M

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 Kansai Electric Power'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 Kansai Electric Power: The switching/moving desk plus billing service are bounded high-volume workflows on CIS; outage communication is a natural third — Scale scope with a launch-fast profile.

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: CIS/billing, Plan catalog, CRM
  • · A named business owner for switching and moving-season service desk
  • · Security review counterpart and policy sign-off (CIS/billing scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

President / CEO

“The nuclear cost advantage is strategy; converting it into retail growth depends on service capacity that scales nationally — agentic acquisition and service is that capacity without a national call-center build.”

CIO / CTO

“A governed agent over CIS and plan systems with bounded integrations delivers a national-grade service channel from the existing stack — no core-system program required.”

COO

“Moving season and typhoons break the staffing model annually; elastic conversational capacity absorbs both while supporting a growth motion your regional estate wasn't sized for.”

Head of Retail / Customer Service

“Every abandoned switching form is a customer the price advantage already won and the process lost; minutes-level conversational completion is the cheapest acquisition spend available.”

Chief Risk / Compliance Officer

“After the sector's information-handling episodes, APPI-grade controls, matrix-bounded offers and 100% logged conversations are the conduct posture that keeps growth clean.”

CFO / Procurement

“Acquisition cost per completed switch and cost per billing contact are both directly measured in the pilot against your baselines — growth and efficiency in one consumption-priced line.”

Outreach

Pre-built offer emails for Kansai Electric Power

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

The most nuclear-weighted major utility in Japan is using its cost advantage to win retail customers nationally — a growth motion that adds acquisition, onboarding and moving-season service load a legacy regional contact estate was never sized for.

Recommended next step

Workshop with retail-business leadership: baseline switching-funnel drop-off and moving-season volumes, then scope a Scale pilot on the switching and start/stop desk before next spring.

Entry: Switching and moving-season service desk · 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.