Impact of AI in the General Insurance underwriting factors

The paper discusses the impact of artificial intelligence (AI) on insurance underwriting process, highlighting benefits predictive analytics in better understanding risk and providing real-time data for quotes demand. use AI algorithms can help underwriters to focus more complex strategic aspects their work while automating tedious tasks. presents Based Risk Intelligence Model (RIM), which combines analytics, machine learning algorithms, modelling provide a comprehensive view an insurer's exposure. RIM consists four key components: Data Collection Integration, Analysis Assessment, Predictive Modelling Scenario Analysis, Management Monitoring. is valuable tool improving overall management industry, enabling insurers identify manage risks effectively make informed decisions. model provides analysis factors beyond traditional methods assessment, such as age, gender, occupation habits, taking into account wide range variables, lifestyle choices, health behaviours, environmental factors. Implementing appropriate with accurately assess moral morale hazards determine strategy clients. This result assessment and  accurate pricing products also reinsurance arrangements. be customized meet specific needs different industry.