Maximizing Insurance Profitability: The Power of Externalizing Rating with Earnix for Guidewire
Explore the transformative benefits of externalizing your rating engine, made easier via the Earnix Accelerator for PolicyCenter. Participants will learn how this enhances pricing agility and accuracy, enabling insurers to make quick, data-driven decisions that maximizes profitability.
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.
Transform Underwriting to Improve Agility and Profitability
Read the eBookMaximizing 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.
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Relive the best of Earnix Excelerate 2024
At Earnix Eˣcelerate 2024, attendees from around the world gathered for two days of impactful insurance insights, perspectives, case studies, approaches and much more. Gain access to meaningful sessions that delivered valuable insights from leaders in the insurance industry.
Earnix 2024 Industry Trends Report: An Industry at a Crossroads
The Earnix 2024 Industry Report surveys 431 global insurance executives on how they are responding to the critical developments that are shaping the future of insurance.
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.
Powering Financial Inclusion with AI-driven Price Optimisation and Risk Decisioning
In this new white paper, we share insights from our research into loan pricing in UK retail banking and examine how AI is transforming price optimisation and risk decisioning.
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.
2024 Predictions: Navigating the Horizons of P&C Insurance
Watch nowThe Surprises Lurking in Your Underwriting Rules
In personal lines and small commercial, a high percentage of underwriting (risk selection) is done through straight-through processing. The approach is hyper-efficient, but are your managed rules also hyper-effective?
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The Pursuit of Agile Pricing Operations
Most lenders involved in personal and auto finance today know that they need to move away from manual revisions of pricing tables, lengthy deployment cycles, and reliance on spreadsheets for the right price calculation. Balancing loan profitability and volume while keeping up with the competition, requires proper pricing analytical tools to support your strategy.