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Combined Decisioning: The Future of Insurance
Earnix's "combined decisioning" integrates underwriting and pricing processes, streamlining decision-making and addressing inefficiencies caused by scattered systems. This approach enhances operational efficiency and competitiveness by enabling simultaneous risk assessment and pricing strategies.
Maximizing Insurance Profitability
Dive into the transformative benefits of externalizing your rating engine through the strategic partnership between Earnix and Guidewire. By integrating Earnix's advanced rating capabilities with Guidewire's PolicyCenter, insurers can achieve remarkable operational efficiency, drastically reduce rate creation times, and minimize errors and costs.
Rapport d’Earnix sur les tendances du secteur pour l’année 2024 : un secteur à la croisée des chemins
Dans le cadre de notre Rapport 2024 sur le secteur, une enquête a été menée auprès de 431 responsables mondiaux de l’assurance pour étudier leurs réactions face aux évolutions majeures qui façonnent l’avenir de l’assurance.
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The State of Pet Insurance
The pet insurance industry is experiencing significant growth, driven by increased pet ownership and rising veterinary costs. This whitepaper explores the industry's expansion in North America, highlighting the challenges of operational inefficiencies and the opportunities presented by advanced analytics and artificial intelligence.
Underwrite-It for Lending: AI-Enabled Credit Risk Decisioning Automation
Discover the most common use cases for deploying Earnix Underwrite-It for Lending, including credit automation, analytics enchainment for credit risk decisioning, and cost reduction and productivity improvements.
Earnix Lending Plus: Integrated AI-Driven Pricing Analytics and Credit Risk Decisioning Platform
Earnix Lending Plus combines advanced pricing analytics, price optimization, and simulation capabilities with automated credit risk decisioning in a single solution. With Earnix Lending Plus, lenders avoid lengthy and costly software implementation cycles while getting a tight grip on the entire pricing and credit decisioning process.
Pricing Strategies in Consumer and Auto Lending
This eBook presents a summary of our findings and recommendations for using AI to optimize pricing models, target lower-risk borrowers, automate credit risk decisioning, and maintain profitability amidst challenging market conditions.
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Digital Transformation in London's Specialty Insurance Market
Over the centuries, the London market has developed and grown, and today it is the largest global hub for commercial and specialty risk, delivering solutions in almost every territory around the world.
Yet the global risk landscape is quickly changing, requiring new solutions to digitalise the market, making it better, faster, and cheaper for all participants while delivering better customer outcomes.