JapanTelecom / digital servicesTransform · $200K
KDDI (au)

From Ponta points to Lawson counters — one agentic frontline for KDDI's converged au economy

KDDI's strategy is convergence — au connectivity, au PAY and Ponta points, au Jibun Bank, and now half of Lawson — but its service estate answers each product separately; an agentic frontline co-engineered with KDDI's own AI investments (its majority stake in Japanese-LLM startup ELYZA, its AI data-center build-out) can resolve a billing, points and banking question in one keigo-grade conversation, making convergence real where customers actually feel it.

Entry use case
Billing, plan and au PAY / Ponta service desk
Expected outcome
Resolve routine billing, plan and points inquiries in-conversation across au, UQ and povo tiers, cutting cost per contact on the highest-volume queues.
Recommended next step
Workshop with consumer-business CS leadership and the AI strategy team: map where ELYZA/KDDI models are mandated, baseline cross-brand contact volumes, and scope a billing-desk pilot on the au premium queue.
What we understand

KDDI (au)'s operating reality

KDDI operates the au, UQ mobile and povo brands across premium, value and online-only tiers, with au PAY and Ponta forming one of Japan's largest points-and-payments ecosystems.

Public fact

KDDI and Mitsubishi Corporation jointly control Lawson, with KDDI holding 50% since 2024 — telco-konbini convergence is a publicly declared strategic bet.

Public fact

KDDI took a majority stake in ELYZA, a Japanese-LLM startup, in 2024, and is investing in AI data centers including the converted Sakai plant site — AI capability is a stated corporate direction.

Public fact

au Jibun Bank and au Financial products attach banking and insurance service load to the same customer base the telco already serves.

Public fact

Multi-brand service means povo's app-only model, UQ's value base and au's premium base each hit different channels with different cost profiles — a single orchestration layer arbitrages across them.

Reasoned inference

Lawson counter services (payments, tickets, parcel handling) likely generate service questions that today have no good remote channel at all.

Seller hypothesis — validate

Validate with the account team before outreach: Where ELYZA and internal AI assets are mandated in customer-facing stacks · Actual contact volumes and cost per contact by brand (au / UQ / povo) · Lawson integration roadmap and whether counter-service load is in scope · Incumbent CCaaS/BPO vendors and contract timelines

Build vs buy

Why we have a right to win here

Co-build target

Strong internal engineering — sell infrastructure, models, governance, or selected capabilities

Evidence: KDDI is investing directly in Japanese LLMs (majority stake in ELYZA) and AI data centers, so it will insist on its assets in the stack; but a production agentic voice frontline with telephony, governance and evaluation is not what ELYZA provides — co-build with declared roles for KDDI's models is the credible posture.

Why they won't build the full stack: KDDI's AI investments target model capability and infrastructure, not contact-center orchestration; assembling telephony, keigo-quality speech, offer governance and 100% evaluation internally would take years while service costs compound across three brands and a konbini network — the co-build delivers frontline economics now.

What management is signalling

KDDI holds 50% of Lawson alongside Mitsubishi Corporation and has framed telco-retail convergence as core strategy.

Reported factpublic disclosures and investor materials · 2024-2025

GTM implication: Pitch the frontline as the convergence layer — the point where au, Ponta and Lawson stop being separate service experiences.

KDDI acquired a majority stake in Japanese-LLM startup ELYZA and is investing in large AI data-center capacity, positioning AI as a growth pillar.

Reported factpublic announcements and investor materials · 2024-2025

GTM implication: Architect the proposal with explicit slots for KDDI's AI assets — this is a co-build sale to a buyer that wants its investments used and showcased.

What already exists (don't pitch this)
  • My au / UQ / povo apps with self-service
  • au PAY and Ponta ecosystem at national scale
  • au Jibun Bank digital channels
  • Large outsourced contact-center estate
  • ELYZA majority stake and AI data-center investments
What customers still can't do end-to-end (pitch this)
  • →Cross-brand and cross-product context in one conversation
  • →Transactional depth — plan switches, points corrections, banking actions still queue to humans
  • →Proactive retention at full at-risk-base coverage
  • →Keigo-quality voice automation for the premium au base
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Billing, plan and au PAY / Ponta service desk
One conversation resolves bill, plan and points across brands with writes to the systems of record; cost per contact drops on the biggest queues.
Billing, plan-change and points questions dominate contact volume across three brands and tens of millions of lines.
Friction today: au, UQ and povo route to different support models; Ponta and au PAY questions span ledgers a human agent swivel-chairs through; the premium base expects keigo voice.
VoiceApp chatWeb
Churn-risk retention across brand tiers
At-risk subscribers offered the right internal tier in-channel before external port-out; saves attributed against the dialer baseline.
The three-brand architecture exists to catch down-shifting customers — but only if the down-shift conversation happens before the port-out.
Friction today: MNP signals fire faster than outbound capacity; cross-brand saves (au to UQ) require humans who know both catalogs.
VoiceSMSApp chat
au Jibun Bank everyday banking line
Routine banking resolved in-conversation with human gates on regulated decisions; the converged customer gets one service standard.
A branchless bank inside a telco group needs phone service that meets banking compliance at telco cost.
Friction today: Routine balance, transfer and card questions queue for limited human capacity under banking-grade rules.
VoiceApp chat
Watch the change

Billing, plan and au PAY / Ponta service desk: today vs the agentic model

Scenario: An au subscriber calls about a higher-than-expected bill; the agent explains the charge in keigo, spots an unused option plan, switches her to a better tier in-call, then answers the follow-up about Ponta points earned at Lawson last week — three systems, one conversation, no transfer.
Today
same interaction, two worlds
Agentic layer
Languages served
2–3 staffed
10+ in one deployment
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
  • · Languages served: Platform capability: Gemini + Chirp speech
  • · 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 chatWebSMS

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 · KDDI (au)
Billing/BSSPonta/au PAY ledgersPlan catalogCRMChurn scoringOffer matrixCore bankingCard systems

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 interactions5.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$3.5
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$17.5M
Current operating cost / mo
$104.0M
Modelled gross benefit / yr
0.0 mo
Payback on Transform
894%
3-yr ROI (modelled)
Automated/assisted interactions per month2.8M
Modelled AI run-cost per month (usage + cloud, system estimate)$962K
New monthly operating cost$8.8M

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 KDDI (au)'s measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Transform — $200K implementation

Transform · $200K · A broader enterprise deployment14–20 weeks phased across units

Why this package for KDDI (au): The value is cross-BU by design — mobile, payments, points and banking share customers — and KDDI's multi-brand estate means multiple workflows and integration domains from the start: Transform scope, entered through the billing desk.

Included
  • 7–10 channels
  • Multiple inbound + outbound workflows
  • Complex enterprise integrations
  • Multiple business units or geographies
  • Advanced agent orchestration
  • Enterprise grounding
  • Governance & evaluation framework
  • Role-based human supervision
  • Custom analytics & optimization
  • Production hardening + managed rollout plan
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Ongoing managed operations (contracted separately)
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: Billing/BSS, Ponta/au PAY ledgers, Plan catalog
  • · A named business owner for billing, plan and au pay / ponta service desk
  • · Security review counterpart and policy sign-off (Billing/BSS scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“The Lawson bet and the AI data-center build-out are declared strategy; an agentic frontline across au, Ponta and banking is where that strategy becomes something tens of millions of customers can feel — and a reference for selling AI capability to enterprise clients.”

CIO / CTO

“This respects your AI investments: ELYZA and KDDI models where they fit, Gemini-class voice and the communications layer where quality demands it, one governed orchestration layer over BSS, Ponta and banking APIs.”

COO

“Three brands and a konbini network multiply service surfaces faster than any staffing plan; elastic capacity that serves povo chat and au keigo voice from one platform is the only model that scales with convergence.”

Head of Customer Service (au / UQ / povo)

“Cross-brand questions are your hardest routing problem; an agent fluent in all three catalogs resolves them in one conversation and keeps the down-shift inside the house.”

Chief Risk / Compliance Officer

“APPI-grade data handling across telco, points and banking domains, human gates on regulated decisions, 100% logged — governance stronger than the fragmented per-brand estate you audit today.”

CFO / Procurement

“At millions of contacts monthly across brands the automation delta is structural margin; the pilot prices per conversation against your own blended cost, with no platform license bet up front.”

Outreach

Pre-built offer emails for KDDI (au)

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

Japan's #2 carrier runs au, UQ and povo across every price tier, owns half of Lawson, and is investing directly in Japanese LLMs and AI data centers — enormous frontline volume plus a declared AI agenda make it a high-stakes co-build.

30 / 60 / 90-day plan
  • Day 0–30: Workshop with consumer-business CS leadership and the AI strategy team: map where ELYZA/KDDI models are mandated, baseline cross-brand contact volumes, and scope a billing-desk pilot on the au premium queue.; confirm sponsor and baseline data access; validate: Where ELYZA and internal AI assets are mandated in customer-facing stacks
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + App chat; pilot scope signed
  • Day 61–90: Transform package kickoff; billing, plan and au pay / ponta service desk pilot in build; success thresholds locked with the Head of Customer Service (au / UQ / povo)
Recommended next step

Workshop with consumer-business CS leadership and the AI strategy team: map where ELYZA/KDDI models are mandated, baseline cross-brand contact volumes, and scope a billing-desk pilot on the au premium queue.

Entry: Billing, plan and au PAY / Ponta service desk · Transform package · 14–20 weeks phased across units. 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.