ANZEnergy utilityScale · $100K
AGL Energy

The energy transition, explained one bill at a time — agentic billing and hardship care for AGL's four million services

AGL sits at the collision point of the energy transition and the cost-of-living crisis: every price change, solar tariff, smart-meter rollout and battery plan generates confused, often distressed contacts, while regulators demand hardship care be more human, not less; an agentic frontline that resolves billing in-conversation and treats vulnerability with mandated care lets AGL fund its transition without service becoming the casualty.

Entry use case
Billing, payment and plan-optimization service
Expected outcome
Resolve routine billing and payment contacts in-conversation at a fraction of Australian labor cost, while hardship cues route to specialists faster and more reliably than today.
Recommended next step
Workshop with retail customer operations: baseline billing and hardship contact volumes ahead of the next default-offer reset, then scope a Scale pilot on the billing line with hardship-routing instrumentation.
What we understand

AGL Energy's operating reality

AGL is one of Australia's largest integrated energy companies, serving millions of electricity, gas, internet and mobile services while executing a major transition from coal generation to renewables and batteries.

Public fact

AGL has publicly committed to large-scale battery and renewables investment with coal closures on a published timeline — a capital program that puts sustained pressure on operating cost discipline.

Public fact

Australian energy retailers operate under strict hardship and vulnerability obligations (AER customer-hardship policy rules); mishandled hardship cases are regulatory and reputational incidents.

Public fact

Cost-of-living pressure has elevated bill-shock, payment-plan and disconnection-related contact volume across the sector.

Reasoned inference

Energy-transition products — solar feed-in, EV plans, batteries, smart meters — generate a new class of complex service questions ordinary billing teams answer inconsistently.

Reasoned inference

Price-change events (annual default-offer resets) likely create predictable contact spikes that fixed staffing absorbs badly.

Seller hypothesis — validate

Validate with the account team before outreach: Current contact volumes by driver and cost per contact · AER/regulatory constraints on automated conversations in hardship contexts · Incumbent CCaaS stack and any group AI initiatives underway · Contact-spike multipliers around price-reset events and heatwaves

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: AGL is a utility whose capital and talent are committed to the generation transition — batteries, renewables, coal closures — not to software platforms; its digital estate is vendor-built, there is no internal AI-platform program, and regulated hardship obligations favor a proven, auditable bought platform.

Why they won't build the full stack: Every discretionary dollar competes with a published multi-gigawatt battery pipeline; building conversational AI in-house is unfundable and slow, while hardship-compliance risk demands mature guardrails now — a governed platform with human gates on vulnerability decisions is the only posture defensible to the AER.

What management is signalling

AGL's FY25 results emphasized the energy-transition investment program — a pathway toward gigawatt-scale grid batteries and 12 GW of new capacity by 2035 — alongside completion of its two-year $90 million Customer Support Package and customer growth to ~4.56 million services.

Reported factFY2025 annual results · Aug 2025

GTM implication: Sell agentic service as the operating-cost lever that helps fund the publicly committed transition capex, and as the scalable successor to the completed support package's customer-care commitments.

Cost-of-living pressure keeps energy affordability politically charged, with hardship-program performance under regulator and media watch.

Inferencerecent investor communications (validate) · 2025-2026

GTM implication: Lead hardship-desk conversations with compliance evidence: 100% logging and reliable vulnerability routing as regulatory posture, not just efficiency.

What already exists (don't pitch this)
  • AGL app and web self-service for bills, usage and payments
  • Publicly completed Customer Support Package and hardship programs
  • Usage insights from smart-meter data
  • Multi-product bundling (energy, internet, mobile)
What customers still can't do end-to-end (pitch this)
  • →In-conversation billing resolution and plan optimization at scale
  • →Proactive payment-difficulty outreach before crisis
  • →Multilingual service for Australia's migrant communities
  • →Consistent transition-product answers across solar, EV and battery plans
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Billing, payment and plan-optimization service
In-conversation billing resolution and plan optimization; cost per contact drops sharply while resolution quality becomes consistent.
Billing is the dominant contact driver, at Australia's highest service-labor rates; plan confusion compounds with every transition product added.
Friction today: Bill-shock calls queue at peak; plan comparisons and concession applications need human walkthroughs across systems.
VoiceApp chatWeb
Payment-difficulty and hardship-care desk
Proactive, stigma-free payment-plan conversations with every vulnerability cue routed to human specialists — fully logged for regulatory evidence.
Hardship handling is regulated, audited and brand-defining during a cost-of-living crisis; early engagement prevents disconnections and debt spirals.
Friction today: Customers in difficulty avoid calling until crisis; hardship cues in routine calls are missed by stretched agents.
VoiceSMSApp chat
Energy-transition product support (solar, EV, battery, smart meter)
Grounded, consistent transition-product answers that lift adoption and cut repeat contacts.
Transition products are the growth strategy, but their service complexity is throttling adoption and generating repeat contacts.
Friction today: Feed-in tariff, meter-upgrade and EV-plan questions exceed FAQ depth and bounce between teams.
App chatVoiceWeb
Watch the change

Billing, payment and plan-optimization service: today vs the agentic model

Scenario: A Western Sydney family gets a summer bill double their usual; the agent explains the usage drivers from meter data, moves them to a better-matched plan, applies the concession they didn't know they qualified for, sets up a payment plan within policy — and, hearing financial-stress cues, books a hardship specialist with the full transcript attached.
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 · AGL Energy
BillingCRMTariff/plan engineHardship-program systemsPayment platformsMeter data systems

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

Trust & languages
EnglishMandarinVietnameseArabic

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 ($)$6.5
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$7.8M
Current operating cost / mo
$48.7M
Modelled gross benefit / yr
0.0 mo
Payback on Scale
1735%
3-yr ROI (modelled)
Automated/assisted interactions per month660K
Modelled AI run-cost per month (usage + cloud, system estimate)$231K
New monthly operating cost$3.7M

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 AGL Energy'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 AGL Energy: Billing service plus proactive payment-difficulty outreach plus transition-product support are natural multi-workflow Scale scope over the retail billing and CRM estate.

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: Billing, CRM, Tariff/plan engine
  • · A named business owner for billing, payment and plan-optimization service
  • · Security review counterpart and policy sign-off (Billing scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“The transition strategy is capital-hungry and politically watched; service that resolves bills instantly and treats hardship with visible care is the operating proof that the transition isn't being funded at customers' expense.”

CIO / CTO

“A governed agent layer over billing, tariff and meter-data systems modernizes the service front end without waiting on core-platform replacement — full auditability designed for AER scrutiny.”

COO

“Price-reset events and heatwave bills create predictable contact spikes at Australia's most expensive labor rates; elastic agentic capacity absorbs them without carrying peak staffing year-round.”

Head of Customer Operations / Retail

“Routine billing resolved in-conversation frees your specialists for the hardship and complex-transition cases that actually need judgment — and your hardship-referral reliability becomes measurable for the first time.”

Chief Risk / Compliance Officer

“Hardship obligations are enforced through evidence: 100% logged conversations, mandated-care scripts enforced verbatim, and human gates on every vulnerability determination — stronger compliance posture than sampled QA.”

CFO / Procurement

“Operating-cost discipline funds the battery build-out; measured cost-per-contact reduction at Australian labor rates is among the fastest paybacks in the region, quantified in the pilot against your own baseline.”

Outreach

Pre-built offer emails for AGL Energy

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

One of Australia's largest energy retailers (~4.5 million customer services) navigating the energy transition, cost-of-living billing stress and hardship-program obligations — high-volume, regulation-heavy service at Australia's most expensive contact-center labor rates.

Recommended next step

Workshop with retail customer operations: baseline billing and hardship contact volumes ahead of the next default-offer reset, then scope a Scale pilot on the billing line with hardship-routing instrumentation.

Entry: Billing, payment and plan-optimization 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.