Reimagine scoping, triage, and inspection workflows
After a disaster, it’s tough for insurers to respond to thousands of urgent claims, assess their liability, and ensure loss reserves are properly funded. This process is further delayed when companies have to wait to send out adjusters and assess each individual property on the ground. Companies need to leverage intelligence and assess the extent of damage within days to properly address the volume of claims during and immediately following a catastrophe. Data companies are giving insurers the ability to quickly scan the area of impact across an entire region and understand which of their policies has been affected, without waiting to send loss adjusters to inspect in person.
Unfortunately, the fundamental drawback with many of these aerial imaging and intelligence programs is they often fail in one of the big three categories: speed, quality, and ease of access. This makes it challenging for insurers to trust the ground intelligence they are getting is accurate and will lead to confident claims decisions.
In tandem with that challenge, insurers should also consider whether their aerial intelligence provider has tools that can enhance the insurer’s ability to understand visual data. Especially helpful tools to look for would be an integrated AI that could highlight different qualities of a property and the surrounding area, and highlight the risks associated with frequent disasters in that area. Because AI development and layering can take time, consider how long it takes a data provider to integrate their offered tools onto new imagery, especially with speed and quality after a catastrophic event.