WEBINAR RECORDING
How Great American Slashes Claim Cycle Time by Reviewing Thousands of Pages a Minute with Nomad
Missed our June webinar with Great American?
Catch the on-demand recording today.
Fill out the form to see how Great American Insurance Group cut claim cycle time by using Nomad to review thousands of pages in minutes.
During this one-hour fireside chat, Rachelle Leone of Great American Insurance Group sat down with Brad Schneider of Nomad Data to reveal the secret behind Great American’s cycle time breakthrough. If you care about KPIs like cycle time, loss-adjustment expense, or adjuster productivity, this webinar is made for you.
You’ll walk away with:
- Concrete results GAIG achieved, and how they measured them
- A step-by-step look at deploying Nomad in an insurance organization
- Best practices for scaling AI document review across complex lines & high-volume cases
- How to begin rolling out & evaluating the technology in your organization
Don't miss your chance to learn about tactics you can start using today.
Rachelle Leone
Rachelle Leone is a Senior Product Owner at Great American Insurance Group, where she leads digital product initiatives for the company’s Risk Solutions team and streamlines complex claims workflows. Based in Rocky Hill, Connecticut, she partners with business and technical leaders to deliver high-impact insurance solutions. Follow and connect with Rachelle on LinkedIn.
Brad Schneider
Brad Schneider is the Founder & CEO of Nomad Data, a platform combining data and artificial intelligence to automate complex enterprise tasks. Prior to Nomad, Brad started, grew, and sold Adaptive Management, a data analytics company. Brad also spent more than a decade as a public market investor, investing in technology companies for firms including Tiger Management and Jericho Capital. Brad holds a Bachelor of Science degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Follow and connect with Brad on LinkedIn.


.jpg?width=250&height=89&name=NoMad_logo@3x-100%20(1).jpg)
