Data accuracy and efficient claim processing are of utmost importance in the insurance industry. The repercussions of even a small error in data can disrupt customer service and overall operations. To make informed decisions about claim payouts, insurers need to gather extensive information from multiple sources such as claimants, hospitals, police reports, and other insurers. This data needs to be seamlessly transferred to the insurer's digital records. However, the current manual handling of this process makes it even more time-consuming and challenging, especially for large insurance organizations.
Continuing with the example of an auto insurance claim, let's consider a typical scenario. When an auto insurance claim is filed immediately after an accident, there may be witnesses who need to tow their cars and seek assistance. Some customers may even pay for roadside assistance. This is where Robotic Process Automation (RPA) can play a crucial role. By automating the data translation process, RPA can facilitate faster response times and quickly arrange for tow trucks or necessary assistance for customers.
Claim processing is an ideal area for implementing RPA methodologies. Recent analysis has demonstrated that leveraging a Robotic Process Automation solution can expedite the claim processing time by up to 80%. RPA enables insurers to efficiently collect data from various sources and consolidate it into a unified document. This streamlined approach accelerates the processing of claims significantly. Additionally, RPA can assist in data verification obtained from different internet sources. For instance, a life insurance carrier can utilize RPA to validate death certifications through government websites, while auto insurers can cross-reference public records to check for any history of malpractice, DUI, or prior arrests by claimants.
To leverage RPA effectively, insurance companies must establish a well-defined process for data collection and verification within the robotic process. Once the necessary steps are in place, the robots can handle claim processing with high accuracy and at a much faster rate. However, it is crucial for insurance companies to regularly update the process workflows of these robots to avoid any potential disruptions or chaos, considering the nature of the risk-bearing industry they operate in.
By embracing RPA in claim processing, insurance companies can benefit from improved efficiency, reduced processing times, and enhanced accuracy in data handling. Moreover, it allows them to cater to the needs and requests of their growing customer base more effectively. Moving away from paper-based processes and adopting automation technologies like RPA is a strategic decision that ensures insurance companies stay competitive in a rapidly evolving industry where data integrity and prompt customer service are paramount.