Event Calendar

Wednesday, August 5, 2026

Practical Artificial Intelligence for Public Adjusters

Start Date: 8/5/2026 1:00 PM EDT
End Date: 8/5/2026 2:00 PM EDT


Organization Name: GAPIA

Contact:
Margie Butler
Email: butler@gapia.org
Phone: (404) 819-4259

Register Now for Nick Gipson's online class, "Practical Artificial Intelligence for Public Adjusters, Ethical, Secure, and Effective Use in Claims Work". The class will be held on Google on August 5, 2026 at 1:00PM to 2:00PM. One CE credit will be given for the class. The class is $45 for members and $65 for non-members.

Register Now at www.gapia.org. The link is on the left hand side of the home page.


This course offers public adjusters a practical, hands-on guide to integrating artificial intelligence into daily claims work, moving beyond theory to focus on real-world applications. Attendees will learn how to leverage AI tools to streamline administrative tasks—such as summarizing file materials, organizing field notes, drafting professional correspondence, and preparing clear pay sheets—while maintaining the highest standards of accuracy and professional judgment. The curriculum emphasizes ethical deployment, privacy protection, and critical "red lines" to ensure that AI serves as a powerful, secure assistant that enhances expertise rather than replacing it.

Public adjusters should take this course to gain a competitive edge in workflow efficiency and claim organization. By mastering techniques for clear prompting and responsible AI use, adjusters can significantly reduce the time spent on repetitive tasks, allowing for greater focus on complex analysis and client advocacy. Whether you are looking to turn rough dictation into structured reports or improve the consistency of your customer communications, this training provides the essential framework for using AI safely and effectively in a professional adjusting practice.  
 


Why Hire a Public Adjuster?

Claimants who hire a Public Adjuster receive substantially more on their insurance claim than those who try and go it alone.