As technology continues to advance, the insurance industry is seeing a shift toward automated underwriting approval processes. This trend has been gaining momentum over the past few years and is expected to grow as insurers seek to streamline their operations and reduce costs without losing the human touch.
Leading insurers are prioritizing claims process automation. Why? Because expenses related to preparing, processing, paying, and adjusting claims represent the most significant share of an insurer's operating costs. Even more than that, 87% of policyholders say the claims experience directly impacts their decision to stay with an insurance provider. But for many insurers, complex workflows, siloed data, and disparate systems have turned the claims process into a painful customer experience.
With record-high inflation, climate change, and an economic downturn on the horizon, the insurance industry is in a pressure cooker of unpredictable change. Sometimes this change happens over time. Sometimes it seems to happen all at once. To come out on top, insurance companies need new workflow and operations strategies that leverage process automation to streamline processes, reduce errors, and improve the customer experience.
The insurance industry plays a vital role in protecting businesses and individuals against potential losses. However, with technological advancements, customers expect faster and more personalized services, leading to increased complexity and challenges for traditional insurance systems.
The insurance industry has always been one of the most data-intensive industries. With a large amount of customer data, claims data, and other information, insurers have been adopting artificial intelligence (AI) to streamline their processes and provide better customer experiences. AI-powered technologies have enabled insurers to automate claims processing, fraud detection, and underwriting, among other things. Here are six top use cases of AI for insurance.
With skyrocketing inflation and growing severity of weather-related losses, 2022 was a tough year for insurers. We were spot-on with our 2022 predictions—such as the need to improve the customer experience, increased adoption of connected underwriting, and the growing importance of ESG. While many of last year’s trends will continue into 2023, we have identified several emerging trends for this year.
Digital technologies are fundamentally shifting how businesses across all industries operate and serve their customers, and insurance is no exception. Many insurers today offer innovative digital technologies to meet the needs of their consumers. So, whether you are looking for health, life, auto, or home insurance, there are a handful of insurance companies that can help you register easily through an app or website.
The underwriting process is notoriously inefficient. Today, underwriters typically spend 40% of their time on non-core activities such as gathering and entering data for submissions and renewals, issuing policies, and administrative tasks. The result of such manual underwriting is lost productivity and higher costs, with an expected price tag for insurers of $85–$160 billion in lost business over the next five years. In the current economic climate, efficiency is more important than ever.
When a leading office supply chain coined the phrase “That was easy!” in an iconic 10-year-long ad campaign, that simple idea resonated with people everywhere. And that’s no coincidence. None of us wants our daily tasks to be labor-intensive, time-consuming, or complicated. The same is true in the world of insurance. To drive growth, insurers need to make it easy for agents and brokers.
According to a McKinsey report, companies making intensive use of customer analytics are 2.6 times more likely to have a significantly higher ROI than their competitors. Intensive users of customer analytics are 23 times more likely to outperform their competitors in terms of new customer acquisition than non-intensive users, and 9 times more likely to surpass them in customer loyalty.
