RPA, or Robotic Process Automation, is revolutionizing insurance through the use of front-end, desktop-level, and no-coding bots that handle the routine keystroke level processes. RPA is making significant changes in the way that insurers operate, thereby improving customer service and reducing cycle time while reducing overhead.
Automation, AI, and machine learning have allowed us to utilize our digital workers to the fullest. Using them, we have made processes far more simple and streamlined, plus they have proved to be highly efficient.
To understand RPA in simpler terms, consider bots that are configured for each computer, to carry out the repetitive tasks in insurance work, such as data entry.
Here in this article, we will see how RPA can be helpful to the insurance world, specifically for the profit and loss run reports.
A loss run report is generated by the insurance company showing the claim activity on each of your insurance policies. This report helps the insurance company assess the risk level of insuring you.
Loss run reports can be used as proof to show that you are a low-risk insured and are not a major loss to the insurance company. Insurance companies use these reports to determine a customer’s offer or to refuse him at all. If you need your copy of loss run reports, you can contact your insurance provider.
The insurance companies invest a great deal of time to get profit and loss reports daily. Implementation of RPA can automate the entire task without investing a lot of money.
Once a loss-run request is generated, here is what happens:
First, all the information is captured digitally. Then it is indexed and put through a workflow queue.
Then, the workflow queue instructs the digital workers (or bots) to gather the indexed keywords and run them through different third-party websites to gather any hits for loss-run history and generate reports.
After the digital workers have generated and collected the reports, they can open them, download them from the website. After that, they upload these reports to the content services platforms.
In these platforms, we finalize the workflow process. Now, an agent or someone else can request the report, access it, and take decisions according to these reports.
It took the bots only three to five minutes to complete the entire operation. If we would have done this process manually, it might have taken over 20 hours a day.
So, we not only saved a lot of time, but we also increased productivity by a huge amount.
The bots can carry out the following tasks for the companies:
Here is a brief summary of the entire process of the loss-run report:
Step 1: Index the available data to gather information about transaction type, market, and policy number in the content services platforms.
Step 2: Go to the web portal of the market based on the market keyword.
Step 3: Log in to the portal.
Step 4: Request for the loss-run report.
Step 5: Submit the policy number and retrieve the report.
Step 6: Import the report to your content services platform.
Step 7: Send the report through the final steps of the workflow process.
P&L reporting is also picking up in the industry with tools like ByteScout RPA Tools that can be easily implemented with detailed process workflows so that you can run your business faster and efficiently.
For insurers, customer claims experience is emerging as one of the most important metrics. With RPA, companies can bring in transparency and fasten up the claim process. Chatbots can offer personalized guidance on the submission of important information and provide proper feedback to the customers.
The insurance sector runs on strict regulations as far as the documentation and audit trails are concerned. However, due to tedious and error-prone processes, the risk of regulatory breach increases exponentially.
RPA plays a crucial part in replacing the need for human power to enforce regulatory compliance. It also makes sure that the data is accurate and carries a complete log of changes.
However, there is one thing that the companies must take care of while implementing Robotic Process Automation. That it only proves beneficial only if some repetitive or rule-based tasks are to be performed. That means RPA is best suited in scenarios that do not demand much human judgment.