ANZGeneral insuranceTransform · $200K
IAG (Insurance Australia Group)

A quarter-million proactive contacts, made conversational — agentic event response and claims care for IAG

IAG already understands proactive event response — it contacted over 250,000 customers around Cyclone Alfred — but broadcasts are one-way and claims intake still queues; an agentic frontline turns that instinct into two-way capability: every at-risk policyholder reachable before landfall, every claimant lodging in-conversation at unlimited capacity, every claim statused proactively for its whole life — event-response leadership converted into the industry's best claims experience at software economics.

Entry use case
Event response outreach and catastrophe claims intake
Expected outcome
Convert event-response outreach into two-way conversations at full scale and absorb FNOL surges without queues, measurably lifting claimant NPS through catastrophe weeks.
Recommended next step
Pre-season executive workshop: replay the last major event's contact data, model two-way coverage economics, then scope a Transform deployment phased before the next catastrophe season.
What we understand

IAG (Insurance Australia Group)'s operating reality

IAG is the largest general insurer in Australia and New Zealand, with brands including NRMA Insurance, CGU, WFI and NZ's NRMA-equivalent brands, plus bank and motoring-club distribution partnerships.

Public fact

During ex-Tropical Cyclone Alfred, IAG publicly reported contacting more than 250,000 customers in affected areas and deploying its major-event response teams in advance.

Public fact

IAG expanded distribution through a long-term strategic agreement bringing RACQ's insurance customers into its underwriting over time.

Public fact

Natural perils allowances and reinsurance structures are central to IAG's investor story, making event-cost predictability a board-level theme.

Public fact

Proactive outreach today is largely one-way (SMS broadcasts); converting it to two-way conversation at scale is the capability gap between warning customers and actually helping them.

Reasoned inference

Multi-brand claims estates likely duplicate intake processes that a single conversational layer could unify.

Seller hypothesis — validate

Validate with the account team before outreach: Event-week contact and claims volumes from recent catastrophes by brand · Existing digital lodgement rates and claims-platform integration surface · RACQ transition timeline and partner-brand servicing scope · Internal AI initiatives in claims and their claimed surfaces

Build vs buy

Why we have a right to win here

Partner-led target

Technically capable but needs industry workflows, integration, acceleration, or managed operations

Evidence: IAG has genuine digital and data capability and applies AI in pricing and claims analytics, but conversational event-response infrastructure at surge scale is adjacent specialist ground; IAG's pattern is platform partnership for capability adjacent to underwriting, and its event-response instinct needs a delivery partner to become two-way at scale.

Why they won't build the full stack: Insurer engineering priorities are pricing, perils modelling and claims-platform consolidation; building surge-elastic voice AI in-house risks brand-defining weeks on an internal roadmap, while a partnered platform can be proven in quiet months and trusted in the loud ones.

What management is signalling

IAG's FY25 results and event reporting highlighted its major-event response around ex-TC Alfred, including proactive contact of more than 250,000 customers in affected areas.

Reported factFY25 results and public event updates · Aug 2025

GTM implication: Management already markets proactive contact as a differentiator — sell the conversational upgrade of a capability they publicly own.

Natural perils costs and allowance adequacy remain central to IAG's investor narrative, with reinsurance structures managing volatility.

Reported factFY25 annual results · Aug 2025

GTM implication: Operational surge capacity is the controllable half of event economics — position claims-experience automation as the lever the reinsurance program can't pull.

What already exists (don't pitch this)
  • NRMA and brand apps with digital claims lodgement for simple cases
  • Major Event Response teams with proactive SMS outreach at scale
  • 24/7 event tracking and pre-deployment of assessors publicly showcased
  • Partner distribution across motoring clubs and banks
What customers still can't do end-to-end (pitch this)
  • →Two-way conversational outreach instead of one-way broadcast
  • →FNOL at unlimited capacity during surge weeks
  • →Whole-of-claim proactive status that suppresses repeat calls
  • →One conversational standard across multi-brand and partner estates
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Event response outreach and claims intake
Two-way pre-event guidance, FNOL at unlimited capacity, proactive status for every claim's life; human assessors on every decision.
IAG already leads on proactive contact; making it conversational converts brand-defining moments from broadcast to service.
Friction today: Pre-event SMS is one-way; post-event FNOL queues for hours; status calls flood lines for weeks.
SMSVoiceApp chatWeb
Motor and home claims lodgement and tracking
In-conversation lodgement with media in-chat; proactive repair tracking; repeat contacts cut measurably.
Everyday claims are the volume engine across NRMA and CGU; lodgement friction and status opacity drive cost and dissatisfaction.
Friction today: Phone-first lodgement; repair and assessment status generates repeat contacts.
App chatVoice
Partner-brand servicing desk (RACQ and bancassurance)
One conversational standard across partner brands with brand-correct identity; partner SLAs evidenced.
Distribution partnerships multiply servicing surfaces; consistent service across partner brands protects the agreements' economics.
Friction today: Partner-brand customers route through varied stacks with inconsistent experience.
VoiceApp chat
Watch the change

Event response outreach and catastrophe claims intake: today vs the agentic model

Scenario: Forty-eight hours before a cyclone crosses the coast, at-risk NRMA policyholders get a two-way conversation — sandbag guidance, coverage confirmation, evacuation-checklist help; when it passes, thousands lodge claims with photos in-chat without a single queue, and every claimant gets stage-by-stage status until settlement.
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
SMSVoiceApp chatWeb

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 · IAG (Insurance Australia Group)
Catastrophe operationsClaims platformPolicy systemsRepairer networksPartner systemsCRM

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 interactions1.4M
Seller assumption — replace in discovery
Current cost per interaction ($)$7.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$9.8M
Current operating cost / mo
$61.4M
Modelled gross benefit / yr
0.0 mo
Payback on Transform
1860%
3-yr ROI (modelled)
Automated/assisted interactions per month770K
Modelled AI run-cost per month (usage + cloud, system estimate)$270K
New monthly operating cost$4.7M

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 IAG (Insurance Australia Group)'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 IAG (Insurance Australia Group): IAG's multi-brand scale (NRMA, CGU, partner distribution, New Zealand) and event-driven volume justify enterprise scope across event response, claims care and everyday servicing — a phased Transform deployment matched to catastrophe-season milestones.

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

What to say to whom

CEO

“IAG made proactive event contact a public differentiator; making it two-way at unlimited scale is the next chapter of that story — and the claims experience that justifies premiums in a hard market.”

CIO / CTO

“A governed agent layer over claims and catastrophe systems scales your event playbook without scaling headcount — bounded integration, auditable by design, phased with the season calendar.”

COO

“Event weeks force triage between intake, status and assessment; automating the first two at unlimited capacity lets your people do the third — the only part that needs them.”

Chief Customer Officer / Head of Claims

“You contacted 250,000 customers around Alfred; imagine each of those as a two-way conversation that lodges, guides and reassures — that's the capability this deploys.”

Chief Risk / Compliance Officer

“GICOP-aligned playbooks, vulnerable-customer routing, human gates on assessments and settlements, 100% logging — catastrophe-week conduct with evidence regulators can inspect.”

CFO / Procurement

“Event response costs and elongated cycle times both compress with automated intake and proactive status; the pilot quantifies against your own event baselines before the season does it for you.”

Outreach

Pre-built offer emails for IAG (Insurance Australia Group)

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

Australasia's largest general insurer — NRMA, CGU and partner brands plus the RACQ distribution deal — with the same weather-surge economics as Suncorp at even larger scale, and a demonstrated instinct for proactive customer contact during events worth building on.

30 / 60 / 90-day plan
  • Day 0–30: Pre-season executive workshop: replay the last major event's contact data, model two-way coverage economics, then scope a Transform deployment phased before the next catastrophe season.; confirm sponsor and baseline data access; validate: Event-week contact and claims volumes from recent catastrophes by brand
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on SMS + Voice; pilot scope signed
  • Day 61–90: Transform package kickoff; event response outreach and catastrophe claims intake pilot in build; success thresholds locked with the Chief Customer Officer / Head of Claims
Recommended next step

Pre-season executive workshop: replay the last major event's contact data, model two-way coverage economics, then scope a Transform deployment phased before the next catastrophe season.

Entry: Event response outreach and catastrophe claims intake · 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.