{"id":21088,"date":"2025-01-31T14:28:45","date_gmt":"2025-01-31T20:28:45","guid":{"rendered":"https:\/\/www.bbrown.com\/?post_type=insight&p=12137"},"modified":"2025-03-06T14:33:29","modified_gmt":"2025-03-06T20:33:29","slug":"the-role-of-ai-in-leave-management-employer-considerations-2","status":"publish","type":"insight","link":"https:\/\/www.bbrown.com\/us\/insight\/the-role-of-ai-in-leave-management-employer-considerations-2\/","title":{"rendered":"The Role of AI in Leave Management: Employer Considerations"},"content":{"rendered":"

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Employee Benefits<\/p>\n

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\n The Role of AI in Leave Management: Employer Considerations\n <\/h1>\n\t\n <\/div>[vc_column_text css=””]Machines are said to have artificial intelligence (AI) if they can interpret data, learn from it and use the knowledge to react and achieve specific goals.1 <\/sup>Among other things, this intelligence allows machines to complete mental tasks that only humans typically perform.<\/p>\n

AI is all around us – we likely interact with it throughout the day without fully realizing it. Have you asked Siri to play your favorite music playlist as you settled in to read? Do you open your phone with Face ID? Have you researched a topic online lately and received an AI Overview of search results? Though AI has been around in one form or another for nearly 75 years, its influence in everyday life, particularly business operations and employment practices, is more prevalent than ever.<\/p>\n

AI in Absence Management<\/h3>\n

Over the last several years, absence management vendors and insurance carriers have started incorporating AI into their businesses to create efficiencies and support targeted absence management practices. Where many of these functions were previously considered back-of office, AI is now undeniably more visible through chatbots in vendor portals, one-way text messages and workflow-based automated approvals.<\/p>\n

While absence administration and claims processes are still primarily executed by humans, vendors are exploring how they can use AI to execute repetitive processing tasks as part of overall claims management. Their goal is to improve efficiency and automate certain tasks so claim examiners can spend their time more effectively, such as making claims decisions, thinking critically and holistically about claims and interacting with claimants.<\/p>\n

Common examples of how AI may be used by vendors in the claims process include the following:<\/p>\n