Identifying recourse options with the help of artificial intelligence
It’s early in the morning. Still slightly sleepy, you are nevertheless attentive as you drive to the day-care centre where you are going to leave your child.
Shortly after, there’ll be an important team meeting at work, and you’re scheduled to visit a client before the morning is out. A full morning, not a minute of respite. Suddenly, a loud crash! Someone obviously less awake than you hit the rear of your car while you were waiting at a red traffic light. Not only your rear bumper, but also your entire schedule is in disarray. Utter stress. You need to settle the matter with the other driver, call the day-care centre to inform them of the delay, call your boss, and hope there will still be time to prepare the potentially lucrative meeting with your customer. A whirlwind of questions pile up within seconds: Is my child hurt? Am I hurt? What information do I need from the other driver (who is by now wide awake)? Do I need to call the police? Should I take the car to the garage to be repaired? Do I have to call the insurance company? Nothing but pressure!
We who handle recourse cases are confronted with a lot of stories like that. Often, the people involved fail to collect important information relating to their case. Only when the stress has subsided do they realise that certain details relevant for the assessment of liability and for recourse proceedings are missing. So often their claim for recourse fails because they cannot provide the necessary evidence.
Complete documentation of the facts is essential for such recourse proceedings. That’s why we like to become active already at an early stage of the claim reporting. Armed with the appropriate regulations, and with the help of artificial intelligence, we provide systematic support in identifying the claimant’s rights of recourse. Would you like to find out more, or does your recourse team need support regarding recourse-related topics? If so, please feel free to contact us!
XpertCenter recourse management
Published on 24.11.2022