ANZTelecomScale · $100K
Spark New Zealand

The cost-out program's biggest unclaimed line — agentic service economics for Spark's reset

Spark is executing one of the toughest resets in Australasian telecom — revenue declining, dividends rebased, and an expanded cost program targeting more than a hundred million dollars of annualized savings — while its contact centers still resolve routine mobile and broadband service with New Zealand labor; an agentic frontline that automates the routine majority and covers every renewal window with retention discipline is the largest service-economics lever still unclaimed by the program, deliverable within the fiscal year the market is watching.

Entry use case
Consumer service and billing line
Expected outcome
Resolve routine mobile and broadband service in-conversation, cutting cost per contact within the cost-program window and covering renewal churn risk at full scale.
Recommended next step
Propose a program-aligned Scale deployment: baseline consumer-line economics with the transformation office, targeting bookable run-rate savings within two quarters.
What we understand

Spark New Zealand's operating reality

Spark is New Zealand's largest telecommunications provider across mobile, broadband and digital services, with FY25 revenue and earnings declining amid a weak NZ economy.

Public fact

Spark's expanded SPK-26 operating program targets significant net labour and opex reductions, building to well over NZ$100 million of annualized benefits, with an operating-model overhaul and IT partnership underway.

Public fact

The dividend was rebased and capital discipline tightened, keeping cost delivery under intense market scrutiny quarter by quarter.

Public fact

A shrinking enterprise segment concentrates pressure on consumer economics, where cost per contact and churn decide margins.

Reasoned inference

NZ labor costs and a tight service-labor market make contact-center economics structurally difficult at Spark's scale.

Reasoned inference

Offshore outsourcing of service work is politically sensitive in New Zealand, making onshore AI capacity an attractive middle path.

Reasoned inference

Validate with the account team before outreach: SPK-26 program scope and whether frontline automation is already claimed within it · The IT-partnership perimeter and its automation mandate · Current chatbot containment and CCaaS vendor commitments · Renewal coverage rates and churn by product line

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: Spark's reset explicitly moves work to partners — the operating-model overhaul and IT-services partnership signal a company buying outcomes, not building platforms; conversational AI at production grade is a governed buy that fits the declared direction of travel.

Why they won't build the full stack: A company cutting labor and opex against a public target cannot fund speculative AI builds; a bought platform with human gates delivers bookable run-rate savings inside the program window the market is grading.

What management is signalling

Spark's FY25 results showed adjusted revenue down around 4% and EBITDAI down around 9%, with the expanded SPK-26 program targeting NZ$80-100 million of net labour and opex reduction in FY25 and well over NZ$100 million annualized by FY27.

Reported factFY25 annual results · Aug 2025

GTM implication: Sell directly into the named program: frontline automation as a bookable contributor to the public savings target, deliverable within the window investors are grading.

Dividend rebasing and capital discipline keep every opex line under quarter-by-quarter scrutiny.

Reported factrecent investor communications · 2025

GTM implication: Position pilot economics as fast, measurable and reversible — the procurement profile a stressed balance sheet requires.

What already exists (don't pitch this)
  • Spark app with billing and plan self-service
  • Consumer contact centers under cost-program pressure
  • IVR and chatbot deflection on service lines
  • Operating-model transformation and IT partnership underway
What customers still can't do end-to-end (pitch this)
  • →In-conversation resolution beyond deflection
  • →Full-coverage renewal retention
  • →Diagnostics-grounded fault triage reducing truck rolls
  • →Elastic capacity that scales down cost with demand
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Consumer service and billing line
Routine service resolved in-conversation; cost per contact cut measurably within the program window.
Routine mobile and broadband service is the dominant volume class carrying full NZ labor cost through a declared cost emergency.
Friction today: IVR deflection frustrates; routine requests queue; every human contact fights the cost program.
VoiceApp chat
Renewal retention and win-back
Full renewal-window coverage with policy-bounded offers; saves attributed weekly.
In a shrinking-revenue market, defending the subscriber base is cheaper than any growth initiative available.
Friction today: Save capacity covers a fraction of expiring plans; churn decisions happen without conversations.
VoiceSMSApp chat
Broadband fault triage
Diagnostics-grounded triage resolves routine faults; visits booked only when warranted.
Fault calls are long, expensive and churn-inducing when unresolved.
Friction today: Script-based triage and truck rolls for restart-grade faults burn cost the program needs back.
VoiceApp chat
Watch the change

Consumer service and billing line: today vs the agentic model

Scenario: A broadband customer's promotional rate expires as a competitor mailer lands; the agent calls first, acknowledges the price gap, offers a policy-bounded renewal with a speed tier that fits her usage, executes it in billing on acceptance — and Spark keeps a customer the cost program couldn't afford to lose.
Today
same interaction, two worlds
Agentic layer
At-risk base contacted
capacity-limited fraction
100% attempted
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
  • · At-risk base contacted: Platform capability; save rate 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
VoiceApp 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 · Spark New Zealand
BSSBillingCRMOffer matrixNetwork diagnosticsField scheduling

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

Trust & languages
EnglishTe Reo Māori

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 ($)$6.5
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$4.5M
Current operating cost / mo
$28.4M
Modelled gross benefit / yr
0.0 mo
Payback on Scale
1720%
3-yr ROI (modelled)
Automated/assisted interactions per month385K
Modelled AI run-cost per month (usage + cloud, system estimate)$135K
New monthly operating cost$2.2M

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 Spark New Zealand'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 Spark New Zealand: Consumer service plus retention plus broadband triage are the classic telecom Scale bundle, and the cost-program clock argues for multi-workflow impact in one deployment rather than serial pilots.

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: BSS, Billing, CRM
  • · A named business owner for consumer service and billing line
  • · Security review counterpart and policy sign-off (BSS scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“The market is grading Spark on cost delivery each half; frontline automation is the largest single opex line the program hasn't yet claimed — and one that improves service while it saves.”

CIO / CTO

“You're already re-platforming IT through partnership; a governed agent layer over BSS APIs fits that architecture and delivers benefit inside the program window, not after it.”

COO

“Every FTE of routine service is arithmetic against the program target; elastic automation covers demand while your operating-model reset proceeds without service-quality risk.”

Head of Consumer

“Defending the base costs less than any acquisition; full-coverage renewal conversations with offer discipline is the churn lever your current save capacity can't reach.”

Chief Risk / Compliance Officer

“NZ Privacy Act-aligned processing, approved-offer enforcement, vulnerable-customer routing and 100% logging — control that improves as automation grows.”

CFO / Procurement

“The program's credibility rests on visible run-rate savings; measured cost-per-contact reduction on the consumer line is bookable inside a fiscal half with usage-based run cost.”

Outreach

Pre-built offer emails for Spark New Zealand

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

New Zealand's largest telco in the middle of a hard reset — declining revenue, a deep cost-out program and an operating-model overhaul — where service automation is not an innovation story but survival arithmetic for the margin line.

Recommended next step

Propose a program-aligned Scale deployment: baseline consumer-line economics with the transformation office, targeting bookable run-rate savings within two quarters.

Entry: Consumer service and billing line · 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.