AI for Fleet FNOL and Claims

I recently participated in the Navigating record claims in the generative AI era - Insurance Post podcast on innovation in Claims, with the inevitable focus on AI. A couple of points of consensus :

• Policy holder comes first: easier, better claims experience
• ‘Data’ to support: AI will help

I offered a view that AI as defined* has been deployed in Telematics informed claims for many years. Initially from REDTAIL device derived data, we provide granular evidence (we have given expert witness testimony in court) of what happened where, when, at what speeds, with what impact. Second by second and within moments of the incident.

Below is a glimpse of our claims portal, which we successfully deploy to both fleet managers and also within their insurers existing claims process software.

1. FNOL – incident alert notification

2. Detailed Incident data

REDTAIL provides incident alert notification and robust detail to fleet managers to determine a precise course of events, fault and, in some instances, fraud.This service is recognized by insurers and lawyers as legally sound (remember my aforementioned “day in court”?).The user journey begins with the crashboard/incident portal and drills down into location, timings and impact in forensic detail.

Those we work most closely with find value in both efficiency and effectiveness. On average, claims resolved with REDTAIL support take 70% less time. More importantly, they can engage with their driver and policy holders with the right information at the right time in the right way. To be supportive and there and human. Some might regard that benefit as Fleet/Insurtech innovation. So why wait, contact me to learn more!

* (the use or or study of computer systems or machines that have some of the qualities that the human brain has, such as the ability to interpret and produce language in a way that seems human, recognize or create images, solve problems, and learn from data supplied to them)