This article builds on our previous blog on the Speed to Market (S2M) Toolkit, where we discussed how the road to implementation can be fraught with IT implementation challenges. These challenges do not revolve around your developers or programmers; they often stem from the complex requirements of a new or updated product, such as detailed forms, endorsement attributes, precise rating information, and accurate premium calculation steps.
Transform Insurance Product Launches with S2M Tools
Sep 25, 2024 / by AAIS posted in Insurance Operations, AAIS News & Views, Policy Administration, Mind Maps, S2M Toolkit
KPIs to Improve P&C Insurer Profitability and Risk Management
Sep 17, 2024 / by Nagesh Venkata Anupindi
“If you can measure it, you can manage it” - Peter Drucker
AI-Powered Insurance Platforms Boost Underwriting Efficiency
Sep 11, 2024 / by Ashish Nair posted in Machine Learning/AI, Data & Technology, Insurtech, Data/Tech, Underwriting, Digitization, AI, Artificial Intelligence, insurance automation, Machine Learning, Analytics, Cogitate
A 2019 article focusing on insurance underwriting by McKinsey stated, “Based on our observations, anywhere from 30 to 40 percent of underwriting’s time is spent on administrative tasks, such as rekeying data or manually executing analyses.”
Navigating UBI in Auto Insurance: Insights from Driverscape 2024
Sep 5, 2024 / by Ash Naik posted in Issues & Trends, Telematics, Auto, Commercial Auto, Personal Auto, AAIS Webinar Series, auto insurance, UBI, Usage Based Insurance
The auto insurance landscape is evolving rapidly, driven by technological advancements and changing consumer preferences. The third annual AAIS Driverscape report provides valuable insights into these shifts, helping insurance carriers navigate the complexities of the modern market.
Addressing Homeowners Underwriting with Behavioral Risk Predictions
Aug 28, 2024 / by Devyn McNicoll posted in Personal Lines, Technology, Data & Technology, Homeowners, Modeling/Predictive Analytics, Data/Tech, Underwriting, Risk, AI, Artificial Intelligence, Pinpoint Predictive
Carrier Management recently published a release from AM Best revealing that the homeowners insurance sector suffered an underwriting loss amounting to $15.2 billion in 2023. This loss is more than double that of the previous year and marks the worst underwriting results since 2000. This spike is attributed to increased weather-related events and shifting population demographics, leading insurers to confront significant challenges in underwriting and risk assessment.
Leveraging Core Systems for Actionable Insights in Policy Claims
Aug 5, 2024 / by AAIS posted in Insights, Data & Technology, Data, AAIS Insights, AAIS Webinar Series, Data/Tech, OneShield
Our latest installment of the AAIS Webinar Series featuring AAIS Partner, OneShield, covered how carriers can effectively leverage and transform core system data into actionable insights to strengthen business decisions and policy claims management. Speakers explored the valuable data types within core systems such as policy, claims, and customer interactions, techniques for extracting and processing this data, and real-world examples demonstrating the impact of these insights. They also discussed the shift from static reports to dynamic data visualization and offered tips for identifying key insights critical for various stakeholders, including underwriters and claims managers. John Kadous, Vice President of Products at AAIS, and John Dunn, Vice President of Sales at OneShield led the discussion with Travis Mayfield, Reporting Product Manager at OneShield.
Pinpoint Predictive, Inc. Joins AAIS Partner Program, Empowering AAIS Members with Strategic Risk Selection for Enhanced Profitability
Jul 29, 2024 / by AAIS posted in Technology, Data & Technology, Modeling/Predictive Analytics, Data/Tech, Risk, AI, Artificial Intelligence, Press Release, Pinpoint Predictive
Pinpoint Predictive to offer AAIS Members access to their revolutionary risk selection platform that goes beyond traditional variables.
Solar Panel Adoption: Impacts on Homeowners Insurance
Jul 25, 2024 / by AAIS posted in Personal Lines, Homeowners, AAIS Insights, solar panels
As the adoption of solar panels in residential homes soars, insurance professionals face a growing challenge: adapting policies to cover this emerging technology. With nearly 3.2 million homes already equipped with solar panels and forecasts predicting significant growth, understanding the implications for homeowners insurance is crucial.
AI, Predictive Modeling, and Data Trends in Underwriting
Jul 18, 2024 / by AAIS posted in Issues & Trends, Data & Technology, Data, Modeling/Predictive Analytics, Data/Tech, Underwriting, AI, Artificial Intelligence, Cogitate
Artificial intelligence (AI) is revolutionizing the underwriting process, offering unprecedented opportunities for efficiency and accuracy in the insurance industry. In this interview with AAIS Partner, Cogitate, we explored how AI is promising a new era in data interpretation and utilization. Jacqueline Schaendorf, CPCU, Co-Founder of Cogitate and President and CEO of Insurance House, discussed the potential of predictive modeling in underwriting and claims processes, significant data challenges faced by carriers, and innovative solutions offered by Cogitate.
AI Home Inspections: Enhance Loss Prevention and Reinsurance
Jul 10, 2024 / by AAIS posted in Personal Lines, Technology, Data & Technology, Homeowners, Data/Tech, AI, Artificial Intelligence, CHRP Technologies
The connection between home inspections and securing reinsurance is crucial for insurance carriers. In this interview with AAIS Partner, Chrp Technologies, we delve into the pivotal role of maintaining a high-quality book of business for insurers seeking reinsurance. Micah Kalisch, Founder and CEO of Chrp Technologies, elucidates how adhering to inspection protocols aligned with stringent underwriting standards not only safeguards insurers against potential risks, but also enhances their appeal to reinsurers. He also discusses how Chrp can support underwriters throughout this process.