The global broking giant said the platform integrates AI-driven capabilities with its existing claims advocacy services. The technology, it claims, offers global consistency, data-led performance evaluation, and tailored insights for claim outcomes.
“Aon Claims Copilot represents a major step forward in Aon’s commitment to deliver better information, advice, and solutions to clients through technology,” said Joe Raiser, CEO of commercial risk at Aon. “It empowers our professionals to turn insight into action, helping clients achieve faster claims resolutions, maximize recoveries, and make better-informed risk decisions.”
The platform will debut in Germany in November 2025, followed by deployment across the rest of the world throughout 2026 and 2027. Aon Claims Copilot will serve the firm’s 1,800 claims professionals operating in more than 50 countries, delivering advocacy and technical expertise across over 20 product lines. The platform includes analyzers and benchmarking tools that measure claims handling, portfolio performance, and carrier responsibilities, and provides carrier performance evaluation through data-driven feedback on claim closure efficiency and outcomes. A client portal allows secure tracking of claim progress and status.
“Expert advocacy combined with AI-driven analytics gives our clients superior visibility and control over their claims,” said Mona Barnes, global chief claims officer for commercial risk at Aon. “Aon Claims Copilot empowers our teams, simplifying our approach and maximizing claim payouts. It also creates a powerful feedback loop with our brokers, ensuring we place business with carriers that consistently deliver the best results.”
The platform also equips professionals with tools to prepare and present claims. The launch follows the company’s recent technology releases, including the AI-powered Aon Broker Copilot and Risk Analyzers.
Aon’s investment in AI-powered claims solutions reflects a broader trend among global insurers and brokerages, as the industry accelerates digital transformation and leverages artificial intelligence to enhance efficiency, accuracy, and client experience.
Marsh McLennan
Marsh has developed “Marsh Digital Labs” and “Marsh McLennan Advantage” platforms, using AI and analytics for claims triage, risk modeling, and cyber risk assessment. Its “Blue[i] Claims” solution uses AI to streamline claims intake, automate document processing, and provide predictive analytics for claims outcomes. Marsh also leverages analytics for fraud detection and reserve accuracy, and offers clients real-time dashboards for claims status and performance.
Willis Towers Watson (WTW)
WTW’s “Radar” and “Radar Live” platforms use AI and machine learning for pricing, risk assessment, and claims analytics. The company also offers “Claims Metrics,” which benchmarks claims performance using AI-driven data analysis. WTW’s leadership notes that while underwriting and pricing have led digital transformation, claims is now seen as an area with significant untapped value, with AI promising double-digit improvements in loss ratios if effectively adopted.
Zurich Insurance
Zurich uses AI-powered chatbots and automation for claims intake and customer service. Its “Indicative Quote” tool leverages APIs and data integration to deliver real-time insurance estimates with minimal manual input, reducing the number of questions for home insurance quotes from 19 to 3 and cutting quote time by 30%. This approach has increased quote-to-sale conversion rates by 60%.
Allianz has implemented AI in its claims management process, using machine learning to automate claims triage, detect fraud, and improve settlement speed. The company’s “Allianz Claims Hub” provides digital claims tracking and analytics for both clients and brokers. In Australia, Allianz’s “Indicative Quote” system streamlines quoting and policy completion, integrating with partner systems for seamless customer journeys.
QBE Insurance
QBE’s “QBE Digital Claims” platform uses AI for claims lodgement, status updates, and document management, aiming to reduce turnaround times and improve customer satisfaction. QBE also invests in predictive analytics for risk assessment and fraud detection.
Chubb has invested in AI to automate claims intake, enhance fraud detection, and deliver real-time analytics to clients and brokers. The company’s digital platforms support self-service claims and integrate with broker workflows.
Sedgwick’s “Darwin” claims management system is a digital, cloud-based platform that incorporates AI and robotics to automate claims registration, triage, and reporting. The system allows clients to access claims files and self-service reports, improving transparency and reducing manual work.
Across the insurance sector, AI initiatives are increasingly focused on:
While underwriting and pricing have historically led digital transformation, claims is now recognized as an area with significant potential for value creation. The most successful initiatives combine advanced technology with deep insurance expertise and a focus on user adoption and workflow integration.
