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The Top 10 Uses of AI in Insurance

We’ve compiled the top 10 ways AI significantly impacts insurance.

Published on:
August 19, 2024

Artificial Intelligence (AI) is changing the world by enhancing efficiencies, driving innovation, and creating new possibilities across several industries. From healthcare to finance, manufacturing to retail, AI is automating processes, improving decision-making, and offering personalized experiences for businesses and customers alike. The same goes for the insurance industry. AI is changing the game in underwriting, claims processing, and more via automation, enhanced risk assessment, and personalized insurance products. To explain further, we’ve compiled the top 10 ways AI significantly impacts insurance.

1. Automated claims processing

AI algorithms can process claims quickly by analyzing data, identifying patterns, and verifying information. This reduces the time required for claim settlements, improving customer satisfaction and operational efficiency. In 2019, a McKinsey report forecasted that by 2030, approximately 60% of claims processes will be fully automated.

2. Predictive analytics for risk assessment

AI-powered predictive analytics help insurers accurately assess risk. By analyzing vast amounts of data from various sources, including social media, weather reports, and economic indicators, AI can predict potential risks and recommend appropriate coverage. This data collection leads to more precise underwriting and personalized insurance policies.

3. Chatbots for customer service

AI chatbots provide 24/7 customer support, answering questions and guiding customers through policy selection while assisting them with their claims. These chatbots use natural language processing to understand and respond to customers while enhancing customer engagement and reducing the workload on human agents. Insurers using chatbots have reported a 30% reduction in customer support costs, optimizing user experience and overall profit.

4. Efficient fraud detection

AI systems are extremely intuitive when identifying fraudulent activities by analyzing patterns and behaviors that are often missed by the human eye. Machine learning algorithms flag suspicious claims, reducing the incidence of fraud by saving insurers significant amounts of money. In a recent report by Genpact, they found that 87% of carriers are investing more than $5 million in AI-related technologies to combat fraud. This continuous learning process and enhanced technology budget ensure that fraud detection mechanisms become more accurate.

5. Personalized insurance products

AI enables insurers to offer personalized insurance products based on individual customer data. By analyzing behavior, preferences, and individual needs, AI can recommend tailored policies that better suit customers. From bundled products like health, car, life, and property insurance to adjustable quotes based on customer habits, personalization can increase customer satisfaction and help insurers attract and retain more clients.

6. Medical record summaries

AI has the capability to automate the summarization of medical records, providing underwriters with concise, accurate, and relevant information. This expedites the underwriting process and reduces the risk of error. Companies like Wisedocs are pioneering in this space, using AI to streamline medical record reviews and enhance decision-making for a variety of professionals.

7. Dynamic pricing options

AI algorithms can adjust insurance premiums based on real-time data. Factors like driving behavior for auto insurance or health data for life insurance can be continuously monitored, allowing for more accurate and fair pricing. This ensures that customers pay premiums that reflect their actual risk levels.

8. Enhanced customer insights

AI tools analyze customer data to give insurers deep insights into customer behavior and preferences. This information can be used to develop targeted marketing strategies, improve customer retention, and identify new business opportunities. The global AI insurance market is expected to reach USD 826.70 billion by 2030, growing at a CAGR of 28.46% in the next six years.

9. Effective claims triage

AI assists in triaging claims by categorizing them based on complexity and priority. Simple claims can be processed automatically, while complex cases are flagged for human intervention. In fact, 47% of insurers agree that AI enables faster claims handling and reduces the time taken to handle a claim by up to 50%, reducing the average processing time from days to minutes.

10. Disaster response planning

AI helps insurers develop better disaster response plans by analyzing historical data and predicting the impact of future events. This includes assessing potential damages, optimizing resource allocation, and enhancing emergency response strategies. AI-driven insights can enable insurers to prepare for disasters and support customers in times of crisis.

Throughout the insurance industry, AI is transforming the way insurance professionals do their jobs by improving risk assessment and fraud detection while personalizing customer experiences and streamlining processes. A survey by Accenture found that in 2024, over 2000 companies use generative AI to expedite processes. AI’s impact is profound, allowing companies like Wisedocs to continuously innovate the future of insurance to provide a more efficient, customer-centric approach based on solid data insight.

Alanna Andersen
Content Writer

Alanna Andersen is a professional freelancer in the art of writing, editing, and proofing. In her past life, she was a Booking Agent and Tour Manager in the music industry and restaurant General Manager in bustling downtown Toronto, Canada. As an avid researcher, she enjoys learning new things and expanding her knowledge. In her spare time, she enjoys travelling around the world, spending time with her cats, dancing to live music, and watching horror films.

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