5 Use Cases of RPA in the Insurance Industry

With technological advancement, the influence of technology across industrial sectors has grown more than you might think. Robotic Process Automation or RPA is one such promising technology that is being employed in various industries, such as insurance. It has the potential to transform business operations and has become increasingly popular in recent years.

A lot of insurance businesses are bogged down with manual processes that can be automated and streamlined. Manual work overloads also hamper efficiency, quality, and accuracy. As such, automation technologies such as hyperautomation and RPA in insurance has emerged as a powerful technology that can help businesses increase efficiency and improve customer service. Here are the leading RPA use cases in the insurance industry:

Claims Management

Traditional claims processing involved endless paperwork, data entry, and back-and-forth communication. However, by leveraging RPA for insurance claims management, insurers can streamline claims-related processes. For one, RPA helps extract data from various kinds of documents. It can recognize visual layouts, label information, and enter it into the relevant systems. By automating data extraction, it improves turnaround times and accuracy. It can also be used to set up a self-service claims filing process. This will help create a better experience for customers and improve brand loyalty.

Underwriting and Pricing

Underwriters leveraging legacy tools and traditional methods are usually weighed down with various unproductive tasks such as gathering information from different sources. This brings down productivity and shoots up operational costs. With Robotic Process Automation in insurance underwriting, such routine tasks can be automated. This empowers underwriters to become exponential.

RPA automates the process of obtaining information from numerous internal and external locations, resulting in speedier processes. It modifies many fields in the internal database while also producing reports. In the insurance industry, automation fills several gaps by issuing relevant price quotes.

Regulatory Compliance

The insurance industry is highly regulated. Insurers must operate within stringent guidelines and create audit trails when documenting work. However, considering the array of time-consuming and error-prone workflows in the industry, insurers must leverage insurance automation to improve accuracy and reduce the risk of regulatory breaches.

Robotic Process Automation in the insurance industry helps businesses easily navigate the complexities of ensuring compliance with the ever-changing regulations. It automates tedious tasks and ensures they are processed in a consistent, accurate, and reliable manner.

Policy Management

Policy management is connected to various functions of insurers, such as quoting, issuance, and underwriting. Traditional insurance policy management solutions, which a number of insurers are still using today, are costly and time-consuming to maintain. They are unable to respond quickly to changing customer expectations or market needs. Also, these legacy systems are neither flexible nor scalable.

While existing policy systems may save significant amounts of time and costs, they are generally disparate and disconnected. Therefore, users have to interface between multiple applications, which leads to data siloes and operational inefficiencies. RPA in insurance enables all stakeholders of the process or silo to complete a range of operations without having to navigate across different solutions. It streamlines various transactional and administrative processes such as accounting, risk assessment, settlement, etc.

Customer Onboarding

RPA plays a key role in transforming customer onboarding within the insurance industry. By automating data collection, document verification, underwriting assessments, and policy issuance, RPA expedites the traditionally time-consuming onboarding process. It enhances accuracy by cross-referencing identity documents and ensures compliance with Know Your Customer (KYC) regulations. RPA also streamlines payment processing, communication with customers, and record-keeping, allowing insurance companies to handle growing customer volumes with ease. This not only results in operational efficiency and cost savings but also significantly improves the overall customer experience, making it a game-changer in the insurance industry’s quest for digital transformation and enhanced service delivery.

Conclusion

RPA in insurance is under constant evolution, leading to the discovery of new ways to make it an integral part of the insurance process. Moreover, it plays a pivotal role in accelerating business growth and streamlining workflows, which makes it well worth the hype. Nowadays, insurers are leveraging various use cases of hyperautomation and RPA. We can only anticipate the maturation and consolidation of this technology in the future, which means that it is best to get on board right now!