Sopp+Sopp teams up with VisionTrack for auto FNOL solution with AI 

Accident management specialist Sopp+Sopp has teamed up with video telematics expert VisionTrack to launch an auto FNOL service for commercial fleets. 

Auto FNOL will play an important role moving forward for fleets, helping them steer the claims management process and supporting their duty of care commitments

Launched to help validate driver welfare, streamline claims handling and reduce insurance costs, the solution will automatically generate a first notification of loss report in the event of a collision detected by the commercial vehicle’s connected camera system. This will draw on the latest advances in artificial intelligence (AI) and computer vision and deliver extremely high levels of accuracy; said to already exceed 98.0%. 

Callum Langan, commercial director at Sopp+Sopp, explained that auto FNOL will play an important role moving forward for fleets, helping them steer the claims management process and supporting their duty of care commitments. 

He continued: “We will gain faster, more accurate reporting, enabling us to reduce unreported incidents and safeguard driver wellbeing. The technology will also achieve cost savings through improved third-party capture rates and liability decision-making, including the evidence needed to challenge alleged and fraudulent incidents.” 

The partnership sees VisionTrack’s Autonomise.ai IoT platform integrated with Sopp+Sopp’s accident management software, seamlessly transferring data. The report will combine critical information from both systems, including time, location, g-force, impact speed, video footage and vehicle details, as well as being overlayed with details such as weather and traffic conditions.  

Autonomise.ai will enable precise incident detection and automated post analysis, without the need for human intervention. This will establish the severity of an event, remove false positives and determine if any immediate action is required, drawing on computer vision innovation as well as object recognition that uses deep learning algorithms to train the IoT platform to automatically identify vehicles, people, tailgating and crashes.   

Richard Kent, sales director of VisionTrack, commented: “No large fleet has the time and resources to manually review every triggered event, so automated post analysis of uploaded footage cuts through the noise to accurately determine when a collision has occurred. This joint solution delivers high levels of accuracy and insight, creating an automated process that will allow Sopp+Sopp to achieve and truly take advantage of auto FNOL.”

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Natalie Middleton

Natalie has worked as a fleet journalist for over 20 years, previously as assistant editor on the former Company Car magazine before joining Fleet World in 2006. Prior to this, she worked on a range of B2B titles, including Insurance Age and Insurance Day.