{"id":17275,"date":"2024-08-22T17:06:10","date_gmt":"2024-08-22T21:06:10","guid":{"rendered":"https:\/\/www.resourcepro.com\/?p=17275"},"modified":"2025-11-05T11:42:09","modified_gmt":"2025-11-05T16:42:09","slug":"practical-approaches-to-ai-for-carriers","status":"publish","type":"post","link":"https:\/\/www.resourcepro.com\/blogs\/practical-approaches-to-ai-for-carriers\/","title":{"rendered":"Practical approaches to AI for carriers: Leveraging and governing AI for value"},"content":{"rendered":"

For the insurance industry, Artificial Intelligence (AI) can prompt mixed emotions: excitement, concern, and confusion. This is especially true when we discuss AI’s impact on customer interactions, risk assessment, and overall business operations. In his recent article in Demotech Magazine, Mark Breading, Senior Partner at <\/span>ReSource<\/span> Pro, <\/span>identifies<\/span> three areas for carriers to focus on. These include the current state of AI, effective use cases, and governance strategies. <\/span><\/span>\u00a0<\/span><\/span><\/span>\u00a0<\/span><\/p>\n

While Generative AI (<\/span>GenAI<\/span>) specifically has received the most attention recently, AI <\/span>isn’t<\/span> new to the insurance sector. Insurers have been using AI technologies for years, from machine learning and natural language processing to RPA. In his article, Mark discusses the importance of exploring these technologies from a business perspective. Understanding how insurers are currently using AI <\/span>provides<\/span> better insight into the potential areas for growth and improvement.<\/span><\/span><\/span>\u00a0<\/span><\/p>\n

AI Use Cases in P&C Insurance<\/span><\/span><\/span>\u00a0<\/span><\/h3>\n