Haden Kirkpatrick, VP of Innovation and VC at State Farm, discusses the use of AI in the insurance industry, gathering data from devices such as smart homes and wearables, the future impact of AI technology on insurance, providing transparency and customer satisfaction, and understanding short-term and long-term changes in technology
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Quick takeaways
Insurance companies are shifting towards 'know your asset' workflows, focusing on accurate verification and valuation of assets like vehicles and properties using AI.
Collecting detailed data about customers' assets enables insurers to offer personalized services and products, such as maintenance notifications through mobile apps, fostering transparency and trust with customers.
Deep dives
Know Your Asset Workflows in the AI-Enhanced Insurance Space
Insurance companies are focusing on using AI to streamline service funnels and verify customer information. This shift is driven by the need to minimize risk, enhance cybersecurity, and provide a personalized experience. While in financial services, 'know your customer' functions are important, in insurance it's more about 'knowing the asset'. The future of insurance technology will involve asset verification, such as accurately identifying and valuing vehicles or properties. This data can be obtained from public records or through partnerships with companies like Samsung. Precise asset verification will enable insurers to offer customized pricing and faster claim resolution.
Upsell Opportunities and Preventing Losses with AI
Collecting detailed data about customers' assets creates upsell opportunities in insurance. By understanding the risks associated with homes or vehicles, insurers can offer additional services and products to prevent losses. For example, insurers can notify homeowners about necessary maintenance tasks through a mobile app, connecting them with service providers for better protection. Transparency plays a crucial role in building trust with customers. AI-driven systems can explain pricing adjustments and underwriting decisions, helping customers understand and accept rate changes. These innovative advancements are already underway and will evolve over the next three to five years, marking a shift from a slice-and-repair approach to a predict-and-prevent approach in insurance.
The Role of Large Language Models in Insurance
The insurance industry is exploring the use of large language models like GPT-4 for customer interactions. These models excel at explaining insurance concepts, making the industry more accessible to customers. However, custom code, data training, and partnerships are required to achieve a personalized customer experience. While some capabilities are already available, personalized interactions, such as explaining individual pricing changes, will require more development. The future of large language models in insurance will focus on enhanced transparency, personalized engagement, and intelligent delivery of information. These advancements will occur over the next three to five years and will significantly improve customer understanding and satisfaction.
Today’s guest on the ‘AI in Business’ podcast is Haden Kirkpatrick, Vice President of Innovation and Venture Capital at State Farm. Haden began his position at State Farm in February 2021 and has spent much of the last decade in the insurance industry after starting his career at T-Mobile. Haden returns to the podcast to talk about ‘know your asset’ workflows and what they’re coming to mean for an AI-enhanced insurance space. Throughout the episode, he clarifies what these changes mean for the three-to-five-year short term of the industry and offers thoughts on what things may look like after. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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