The function of AI adoption in insurance relies heavily on experience over time, emphasizing the importance of familiarity with specific use cases to minimize risk.

Many organizations are currently leveraging AI to improve customer service, particularly in areas where traditional technologies have struggled.

While concerns about data privacy and AI hallucinations exist, understanding the potential consequences of these risks can help companies determine when to automate more complex use cases.

Establishing robust ethical guidelines for data management not only enhances compliance but also fosters consumer trust in AI-driven solutions.