ANZGeneral insuranceScale · $100K
Suncorp

Built for the worst week of the year — agentic claims surge capacity for Suncorp's weather-event economics

Suncorp is now a focused insurer in the world's most weather-exposed developed market — cyclones, floods and storms that convert its customer base into claimants by the tens of thousands in a single week, against a claims operation staffed for the median month; an agentic frontline that takes first notice of loss at unlimited capacity, keeps every claimant proactively informed and guides documents in-flow is claims-surge elasticity as a capability — the difference between a catastrophe handled and a reputation damaged, priced at software economics.

Entry use case
Catastrophe claims intake and proactive status care
Expected outcome
Absorb weather-event FNOL surges at unlimited capacity with proactive status care, cutting status-call volume and lifting claimant satisfaction through the events that define the brand.
Recommended next step
Pre-season workshop with claims leadership: baseline event-week contact multipliers and status-call ratios from recent events, then scope a Scale pilot live before the next northern storm season.
What we understand

Suncorp's operating reality

Suncorp is a leading Australian general insurer (AAMI, GIO, Suncorp Insurance, Shannons and others), now a pure-play insurer following the completed sale of Suncorp Bank to ANZ.

Public fact

FY25 brought 17 declared weather events and more than 120,000 natural hazard claims, with ex-Tropical Cyclone Alfred alone generating over 31,000 claims — among the largest events in company history.

Public fact

Natural hazard allowances, reinsurance costs and premium affordability are permanent themes in Suncorp's results and in political debate about insurance pricing.

Public fact

Claims-surge weeks force triage between intake speed, status communication and assessment quality — status calls flood lines exactly when assessors are scarcest.

Reasoned inference

Premium increases have made affordability and value-for-service politically sensitive, raising the stakes on claims experience as the proof of value.

Reasoned inference

Repeat status-call volume after major events likely multiplies handled contacts well beyond claim counts.

Seller hypothesis — validate

Validate with the account team before outreach: Event-week contact multipliers and abandonment rates from recent catastrophes · Claims-platform integration surface and digital lodgement rates today · Existing conversational AI initiatives in claims triage · GICOP and internal conduct constraints on automated claims conversations

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: Suncorp is an insurance operator whose digital investment goes through platforms and partners; it applies AI in claims triage and pricing but has no LLM voice infrastructure ambition, and surge-elastic conversational claims capacity is a governed buy that must be production-proven before a catastrophe, not after.

Why they won't build the full stack: Insurer engineering is committed to claims-platform modernization, pricing and reinsurance analytics; building voice AI for event surges in-house would gamble brand-defining weeks on an internal project, while a bought platform with human gates can be battle-tested in the quiet season.

What management is signalling

Suncorp's FY25 reporting detailed 17 declared weather events and over 120,000 natural hazard claims, with ex-TC Alfred generating more than 31,000 claims — among the largest events in company history.

Reported factFY25 annual results · Aug 2025

GTM implication: Claims-surge elasticity is a named, quantified operational problem in the company's own disclosures — pitch directly against the event math management reports.

The completed sale of Suncorp Bank leaves the group a pure-play insurer whose valuation rests on underwriting and claims execution.

Reported factpublic announcements and results · 2024-2025

GTM implication: Every efficiency and experience gain now lands undiluted on the insurance P&L — a focused buyer for a focused pitch.

Premium affordability and natural hazard costs remain politically charged in Australia.

Inferencerecent investor communications (validate) · 2025-2026

GTM implication: Claims experience is the value-for-premium proof point — frame automation as better claimant care, never as cost-cutting claims.

What already exists (don't pitch this)
  • AAMI and Suncorp apps with digital claims lodgement for simple cases
  • Event Response capability publicly showcased around major events
  • Claims contact centers with surge-staffing playbooks
  • SMS notification programs during catastrophes
What customers still can't do end-to-end (pitch this)
  • →FNOL at unlimited capacity during event spikes
  • →Proactive per-stage status that suppresses repeat calls at claim scale
  • →In-conversation document guidance and validation
  • →Consistent renewal-shock conversations with policy-bounded options
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Catastrophe claims intake and proactive status
FNOL at unlimited capacity in any channel; proactive status at every stage suppresses repeat calls; human assessors on every decision.
Event weeks define the brand: intake capacity and status communication decide whether 30,000 claimants feel protected or abandoned.
Friction today: FNOL queues stretch for hours during events; status calls recur for weeks while assessors work; every contact is emotionally charged.
VoiceApp chatSMSWeb
Motor claims lodgement and repair tracking
Lodgement in-conversation with photos in-chat; repair status pushed proactively; cycle-time friction measured and cut.
Motor is the volume engine of AAMI and the everyday claims experience most customers judge.
Friction today: Lodgement requires calls and forms; repair-status opacity drives repeat contacts.
App chatVoice
Policy servicing and renewal-shock conversations
Premium changes explained consistently; policy-bounded options offered; vulnerable customers routed to humans.
Premium increases drive renewal-shock calls that end in churn or downgrade without a good conversation.
Friction today: Renewal queries queue in call centers; explanations vary by agent; retention offers improvised.
VoiceApp chat
Watch the change

Catastrophe claims intake and proactive status care: today vs the agentic model

Scenario: A cyclone crosses the Queensland coast overnight; by morning 8,000 policyholders have lodged structured FNOL claims with photos through conversation — no queue — while every claimant from day one receives proactive status as assessors are assigned, and the call center handles the complex and distressed cases humans should own.
Today
same interaction, two worlds
Agentic layer
Status-call volume
dominant inbound driver
suppressed by proactive updates
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
  • · Status-call volume: Process design; 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 chatSMSWeb

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 · Suncorp
Claims platformCatastrophe operationsPolicy systemsRepairer network systemsPricing enginesCRM

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

Trust & languages
English

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 interactions1.5M
Seller assumption — replace in discovery
Current cost per interaction ($)$7.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$10.5M
Current operating cost / mo
$65.8M
Modelled gross benefit / yr
0.0 mo
Payback on Scale
1881%
3-yr ROI (modelled)
Automated/assisted interactions per month825K
Modelled AI run-cost per month (usage + cloud, system estimate)$289K
New monthly operating cost$5.0M

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 Suncorp'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 Suncorp: Catastrophe intake plus everyday claims status plus motor claims lodgement are natural multi-workflow Scale scope with claims-platform integration depth, deployable before the next storm season.

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: Claims platform, Catastrophe operations, Policy systems
  • · A named business owner for catastrophe claims intake and proactive status care
  • · Security review counterpart and policy sign-off (Claims platform scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“As a pure-play insurer, Suncorp is judged entirely on claims moments now; surge-elastic agentic intake is the operational answer to the question every catastrophe asks of the brand.”

CIO / CTO

“A governed agent layer over the claims platform gives event-scale capacity without event-scale infrastructure — bounded integration, full auditability, ready before next storm season.”

COO

“You staff for the median month and get judged on the worst week; elastic FNOL and status capacity ends the surge-staffing scramble that starts every event.”

Chief Customer Officer / Head of Claims

“Status calls are the hidden multiplier of every event — proactive updates at claim scale suppress them at the source and give claimants the certainty that defines satisfaction scores.”

Chief Risk / Compliance Officer

“GICOP-aligned conduct, vulnerable-customer routing, human gates on every assessment and settlement, 100% logging — evidence-grade claims handling through the most scrutinized weeks.”

CFO / Procurement

“Event response costs spike with surge staffing and drawn-out cycle times; measured intake automation and status-call suppression cut both, quantified against your own event baselines.”

Outreach

Pre-built offer emails for Suncorp

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

Australia's pure-play general insurer after the bank sale — AAMI, GIO, Suncorp and specialist brands facing weather-event claims surges that define both customer outcomes and earnings; FY25 alone brought 17 declared events and over 120,000 natural hazard claims.

30 / 60 / 90-day plan
  • Day 0–30: Pre-season workshop with claims leadership: baseline event-week contact multipliers and status-call ratios from recent events, then scope a Scale pilot live before the next northern storm season.; confirm sponsor and baseline data access; validate: Event-week contact multipliers and abandonment rates from recent catastrophes
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + App chat; pilot scope signed
  • Day 61–90: Scale package kickoff; catastrophe claims intake and proactive status care pilot in build; success thresholds locked with the Chief Customer Officer / Head of Claims
Recommended next step

Pre-season workshop with claims leadership: baseline event-week contact multipliers and status-call ratios from recent events, then scope a Scale pilot live before the next northern storm season.

Entry: Catastrophe claims intake and proactive status care · 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.