The insurance industry has long been resistant to change, lagging behind other sectors when it comes to innovation and modernization. While financial services, retail, and even healthcare have thrived with new technology, insurance remains a slow mover—held back by legacy systems, regulatory complexities, and deep-rooted traditional processes. This difficulty in evolving has led to significant inefficiencies, particularly in communication with lienholders, mortgage banks, and financial third parties.

Artificial intelligence (AI) is reshaping the insurance industry, and successful adoption requires careful planning. Tony Villa, President of OneShield, shares key insights on how insurers can integrate AI to enhance efficiencies without disrupting operations.

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.

Pinpoint Predictive to offer AAIS Members access to their revolutionary risk selection platform that goes beyond traditional variables.

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.

Generative Artificial Intelligence (GenAI) is revolutionizing industries with its ability to understand, synthesize, and create language-based content. In this interview with AAIS Partner, BluePond.AI, we explored how this leap forward is particularly impactful in the insurance sector, where manual processes and complex documentation are prevalent. Hear from Pranav Pasricha, CEO of BluePond.AI, to learn what GenAI is, its transformative applications within the insurance industry, the challenges of adopting this technology, and how carriers can effectively navigate these obstacles to harness GenAI's full potential.

Due to today’s hard market, reinsurers are much more selective about the risks they underwrite. To secure reinsurance coverage, personal lines property carriers must maintain a healthy book of business and loss ratio.

Apoorva Insurance to offer AAIS Members affordable products and services to further accelerate their speed to market for all lines of business.

Today, there is a lot of buzz surrounding generative artificial intelligence (GenAI) and its potentially significant implications for the insurance industry. The use of GenAI in insurance is taking a large step forward, leading the paradigm shift in AI and machine learning (ML) due to its efficient and innovative features. In the dynamic realm of insurance, burdened by cumbersome manual processes, traditional AI solutions are limited. GenAI transcends these limitations, offering transformative solutions to streamline insurance workflows and propel the industry forward.

As part of the AAIS Webinar Series, AAIS hosted a virtual discussion on April 4, 2024, featuring AAIS Partner, GhostDraft. Moderated by John Kadous, AAIS Vice President of Products, the session explored the importance and challenges of speed to market. Joined by panelist Laurence White, Executive Vice President of Sales at GhostDraft, the two discussed modern technologies and innovations that can accelerate internal processes as well as how to balance speed and compliance. Kadous and White also offered successful strategies to improve operational efficiencies.