**Ashley Karg: AI Empowers Brokers to Treat Clients as Individuals**
McGill and Partners’ Ashley Karg has highlighted the benefits of combining AI-powered modeling with traditional underwriting techniques, allowing brokers to personalize client relationships and mitigate risk in a more targeted way.
**More Personal, Less Generalistic**
Karg emphasizes that the advent of AI has given brokers the capacity to approach each client with a tailored strategy, moving away from generic, one-size-fits-all underwriting models. By leveraging the data and insights provided by AI-driven tools, brokers can identify and address specific risk factors that may have previously gone unnoticed. This shift from a broad-brush approach to a more nuanced one is enabling brokers to build stronger relationships with their clients.
**What this means**: By treating each client as a unique entity, brokers can increase the chances of successful risk management and more effectively meet the financial needs of their clients. This personalized approach will likely lead to increased client satisfaction and loyalty.
**Newfound Flexibility for Brokers**
The combination of AI and data analytics has also increased the flexibility available to brokers in terms of underwriting decisions. Karg notes that AI-powered modeling allows brokers to assess and manage risk in a more dynamic and adaptable manner, enabling them to respond to changing circumstances and new information more effectively. This flexibility is particularly valuable in an environment where risk profiles can change rapidly.
**What’s Next**
As AI technology continues to advance, it’s likely that we’ll see even more sophisticated approaches to client risk assessment and management emerge. By embracing these developments, brokers will be able to build on the gains they’re making today and create even more personalized and effective relationships with their clients.