Only 7% of Property Insurers Have Scaled AI Successfully in Claims
Property insurers are investing billions in artificial intelligence but struggling to turn those investments into operational gains. While 82% of carriers now use AI somewhere in their claims operations, just 7% have achieved scalable success, according to a Sedgwick report released in April 2026.
Nearly two-thirds of carriers acknowledge a gap between their AI ambitions and what they've actually built. The disconnect matters: the industry is expected to spend $80 billion on AI by 2032, up from $10 billion in 2025.
Legacy Systems Block Integration
The core problem is infrastructure. Most claims systems were built before API connectivity became standard, so AI tools sit on top of existing platforms rather than integrating into core workflows. This creates operational friction, inconsistent data, and diminished performance when scaled.
Ninety percent of property insurers surveyed believe AI must be orchestrated across business processes to maximize their investments. Instead, benefits remain confined to individual steps in the claims lifecycle rather than compounding across the full journey.
Data quality suffers under this patchwork approach. Multiple vendors supporting different parts of the claims process leave carrier data inconsistent, incomplete, or siloed-weakening the outputs AI systems produce.
Workforce adoption presents another obstacle. Adjusters managing heavy caseloads and spending significant time in the field may view new tools as burdens without proper training and rollout plans. Some carriers also delay broader implementation by expecting AI to perform flawlessly from day one rather than measuring incremental progress against real-world baselines.
Where AI Delivers Results
Property insurers deploying AI in focused areas are seeing measurable improvements. Intake automation has cut average claim processing times from 10 days to 36 hours. AI-powered photo analysis has boosted claim handling efficiency by up to 54%.
The technology performs best on high-volume, repetitive tasks: data extraction, documentation, low-severity claims handling, and intake validation. For low-severity claims, AI has produced 80% faster processing times and 50% productivity gains in documentation. Claims handlers typically spend 30% of their time on low-value administrative work-time AI can reclaim.
Some industry experts predict that 80% to 85% of simple claims could eventually be straight-through processed with minimal human involvement as the technology matures.
Human Judgment Remains Essential
AI cannot replace human judgment in complex or emotionally sensitive claims. Losses involving ambiguous circumstances, nuanced coverage questions, or significant personal impact require professionals who can weigh context, communicate clearly, and advocate for policyholders.
Human-in-the-loop models-where AI supports but does not substitute for human decision-making-quadruple trust in AI outputs. Seventy-five percent of claims professionals believe AI requires human oversight.
Building an Effective AI Strategy
Carriers should prioritize immediate-impact, low-risk applications before expanding, rather than pursuing sweeping overhauls driven by vendor promises. Start small, prove value, then scale.
Strong data governance is essential. Standardization and integration of claims data ensure AI tools perform consistently and satisfy emerging compliance requirements.
David Guaragna, Sedgwick's managing director of property operations, said: "AI is accelerating faster than any technology in our lifetime. Strategy isn't optional-it's the new competitive advantage."
Regulatory scrutiny and customer expectations around AI governance are expected to intensify in the coming years. Carriers that build deliberate strategies now will have an advantage over those that treat AI as a vendor-led project.
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