For Australian manufacturers, retailers and insurers managing warranty claims across disconnected systems — whether that's legacy platforms, dealer portals or ERPs — the inefficiency is costing you more than you realise. Under the Australian Consumer Law, your obligations are strict and ASIC's 2025 enforcement priorities name claims handling as a core focus. iWarranty's agentic AI gives Australian businesses the compliance trail, fraud detection and automated adjudication they need — without growing the team.
ASIC's 2025 enforcement priorities specifically call out failures by insurers to deal fairly and in good faith with customers. Manual claims handling is no longer a viable risk position for any Australian business.
Rule-based systems were built to process claims, not evaluate them. When a claim sits outside a preset rule, it goes to a human — expensive, inconsistent and already stretched. Under the Australian Consumer Law, manufacturers and retailers carry strict obligations on defective goods. Insurers face growing ASIC scrutiny on claims handling conduct. Managing that exposure manually, at scale, is not sustainable. The answer isn't more staff or more rules. It's a system that can reason.
The Australian Consumer Law imposes non-negotiable obligations on manufacturers and retailers around defective goods. Managing ACL compliance manually across high claim volumes creates legal exposure that scales with your business.
→ iWarranty generates a full, auditable compliance trail on every claim decision — automatically.
Legacy systems flag the obvious cases. They miss the sophisticated ones — linked claimants, inflated repair costs, coordinated submissions across dealer or retail networks.
→ iWarranty detects behavioural fraud signals across claim clusters, not individual submissions.
Complex claims require trained reviewers. That means inconsistent decisions, slow resolution times and a cost-per-claim that grows with every new product line or market.
→ Agentic adjudication handles complex entitlement logic autonomously — escalating only genuine exceptions.
Australian consumers expect fast, transparent claims resolution. When claims take days and customers are left chasing updates, the damage to retention and brand reputation is real — and measurable.
→ Straight-through processing on eligible claims. Real-time status updates. Resolution in hours, not days.
A claims intelligence layer that integrates with your existing systems. No rip-and-replace. Live in weeks.
Claims enter via API, portal or direct integration. The AI immediately triages by risk level, entitlement status and fraud probability — routing each to the right outcome without manual intervention.
Unlike rules engines, iWarranty's AI reasons against warranty policy documents, product data and claim history simultaneously. It handles the ambiguous cases that currently fill your human review queue.
Continuous pattern analysis across your full claims corpus. Cluster-level anomaly detection surfaces fraud rings and systematic leakage that individual-claim review will always miss.
Every adjudication decision is logged with its full reasoning chain. Regulator-ready documentation and board-ready dashboards — generated automatically, with no manual reporting effort.
Approved claims trigger automated resolution workflows. Customers receive real-time status updates. Your team handles exceptions — not the queue.
Most platforms automate what was already manual. iWarranty makes decisions that previously required expertise.
iWarranty was founded by lawyers and built under regulatory scrutiny. FCA Green Fintech Challenge participant. Backed by Barclays, Innovate UK and Google. Serving customers in Australia, the UK and beyond.
30 minutes. We'll show you iWarranty running on a real claims dataset — adjudicating, flagging, reporting. No slides.
→ Request a DemoiWarranty.ai is not affiliated with iwarranty.com.au, an Australian consumer car warranty provider.
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