American manufacturers, insurers, and warranty providers are sitting on recoverable warranty spend — lost to manual adjudication, undetected fraud, and supplier leakage. Most claims operations are still running on rules-based systems that process claims but can't evaluate them. iWarranty's agentic AI closes those gaps: reasoning through complex claims, detecting fraud at the cluster level, and recovering supplier costs automatically.
"US manufacturers paid $30.37 billion in warranty claims in 2025, a 4% increase year-on-year. Warranty reserves hit $71.89 billion, up 17%."
Warranty Week 23rd Annual Product Warranty Report, as cited in The Source →IDC research shows manufacturers spend up to 7% of product revenue on warranty claims annually. The majority of that spend is recoverable — with the right intelligence layer in place.
Most US warranty operations run on rules-based platforms built to process claims, not evaluate them. When a claim falls outside a preset rule, it lands in a human queue — slow, expensive, and inconsistent. Supplier recovery is manual. Fraud detection is reactive. And nobody has full visibility across the claims corpus. iWarranty replaces that stack with one agentic AI platform that reasons, recovers, and reports — automatically.
Rules-based systems catch the obvious cases. They miss the sophisticated ones — coordinated submissions, inflated labor rates, linked claimants operating across dealer networks.
→ iWarranty detects behavioral fraud signals across claim clusters, not individual submissions.
Complex claims require trained reviewers. That means inconsistent decisions, slow cycle times, and a cost-per-claim that grows with every new product line or market expansion.
→ Agentic adjudication handles complex entitlement logic autonomously — escalating only genuine exceptions.
US manufacturers lose billions annually in unrecovered supplier warranty costs. Most recovery processes are manual, slow, and incomplete — leaving significant margin on the table.
→ iWarranty automates supplier debit notes and recovery workflows, closing the loop between claim resolution and cost recovery.
When warranty decisions happen in spreadsheets and email threads, there's no defensible record. As regulatory scrutiny on product liability and consumer protection increases, that's an exposure no manufacturer can afford.
→ Every adjudication decision is logged with its full reasoning chain. Board-ready reporting. Audit-ready from day one.
An agentic AI layer that integrates with your existing ERP, CRM, and dealer systems. No rip-and-replace. Live in weeks.
Claims enter via API, portal, or dealer 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.
Approved supplier liability claims trigger automated debit note workflows. Recovery that previously took weeks of manual effort happens automatically — with full traceability.
Every decision is logged with its reasoning chain. Generate board-ready dashboards and regulator-ready documentation without any manual reporting effort.
Most platforms automate what was already manual. iWarranty makes decisions that previously required expertise.
iWarranty was founded by lawyers and built under regulatory scrutiny. Backed by Barclays, Innovate UK, and Google. FCA Green Fintech Challenge participant. MBRIF 10th Cohort.
iWarranty is designed from the ground up for enterprise deployment — not retrofitted from an SMB tool.
Evaluating iWarranty for enterprise deployment? Our team will walk you through security documentation, integration specs, and deployment planning.
→ Request an enterprise briefing30 minutes. We'll show you iWarranty running on a real claims dataset — adjudicating, flagging, recovering. No slides.
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