Robotic Process Automation and the Future of Insurance Claim Processing: A Look at Why It Works So Well

Apr 28, 2023

The Insurance Claim Process: Understanding with an Example

Have you ever wondered how automation can help you retain your valuable clients? Choosing the right online claims processing system for your company, whether manual or automated, can make all the difference in ensuring a seamless and positive experience for your customers.

Let us explore both manual and automated claims processing systems with an example that can certainly help you make an informed decision in order to accelerate customer satisfaction in the future.

In your opinion, which individual would be more satisfied with their insurance provider? Jacob or Emma?

Just like “Company B,” other carriers have also recognized that a slow claims process can damage their relationship with customers. As a result, many companies are shifting from traditional approaches to digital engagement.

Does this mean that every insurance company must invest in new technologies to satisfy increasing customer demands?

In this regard, the answer is “yes.” However, it is crucial to understand the rationale behind this digital transformation.

Robotic Process Automation in Claims Processing

Robotic Process Automation (RPA) can be a significant tool for accelerating P&C claims automation. It can redefine workflows and streamline the entire process while simultaneously reducing costs and speeding up claims processing.

In recent years, the insurance industry has begun to prefer online claims portal. Therefore, insurers are arming their clients with automated platforms to enhance their experience.

Besides, the need to transform claims operations is not just because of increasing customer demands but also due to existing bottlenecks like data crunch, mismanaged resources, manual input errors, and other operational roadblocks.

Claims adjusters are still required to evaluate information when using RPA, but they no longer have to waste time inputting data collected from multiple sources. This eliminates hurdles and streamlines the work of the claims processing team, enabling them to perform at their best without compromising the quality of customer service.

From Intake to Resolution: How Automation Can Enhance Efficiency in the Claims Lifecycle

Creating an innovative and impeccable claims journey for customers requires a blend of RPA and the integration of other digital technologies like AI and ML. However, the claim settlement process involves several stages, each of which contributes to preventing fraud, making data-driven decisions, optimizing costs, reducing settlement time, and achieving targeted goals.

Here is a brief description of how leveraging RPA in each step can improve efficiency:

Digital FNOLs

Facilitate policyholders with a bot, insurance mobile apps, or an online claims portal instead of calling the carrier or handing over the documents in person.

How it works:

• Helps policyholders fill out the required information, upload media files, and scan documents.
• Processes claim faster and with better accuracy.

Automated Claims Triaging

Use predictive analytics to identify which claims require immediate attention and assign them to the appropriate adjuster. This process is certainly known as “claims triage” and it can help you sort the claims quickly and accurately as per urgency during peak seasons.

Based on previous data, predictive analytics also identify the likelihood of future events using machine learning techniques and statistics. This can help you distinguish between trivial and complex claims.

How it works:

• Leverages digital FNOLs with structured claim information.
• Assigns each claim as per its urgency score based on parameters from past claims: damage extent, injury severity, etc.
• Segments claim on the basis of their respective scores.
• Routes high-complexity claims to relevant adjusters based on their experience or workload.
• Sends low-complexity claims straight for payment.

Smart Assessment

Improve the efficiency of your workforce during various claims procedures with the help of automated assessment models.

How it works:

• Identifies billing abnormalities automatically.
• Conducts damage assessments accurately.
• Improves fraud detection to a greater extent.
• Recognizes lapsed policies spontaneously.

Deep-Investigation

Execute automated matching of incident information with the trained conditions pertaining to a damage type, cause of loss, state law, etc. Besides, the analysis of large, labeled data sets is done in this phase.

How it works:

• Processes data within a short span of time.
• Detects suspected fraudulent claims accurately.
• Reveals connections between different factors that may be imperceptible to the human eye.

Online Evaluation

Compare smartphone images to the vast database of damaged pictures and accordingly assess the severity and cost estimation.

How it works:

• Calculates accurately by considering all the processes like cost estimations, vendor selection, legal expenses, adjuster costs, etc.
• Provides insights for making error-free smart decisions.

For instance, inspecting roof damages after a storm for property claims can be made easy with drone inspections with automated damage detection. This leverages AI-driven image detection tools to generate precise and detailed roof wireframes and highlight damage in the images.

Settlement – Satisfied Customers

Acquire crucial information through the above stages to:

• Gain valuable insights to approve or deny the requested claims. 
• Enhances the overall client experience and increases retention rates using end-to-end automated journey

In a Nutshell

Whether you invest in Robotic Process Automation or AI-based solutions, the online claims portal becomes more streamlined. The significance of these technologies cannot be overlooked anymore. If you are looking for support on how to implement automation in your insurance processes, we are here to help you.

Get in touch with our team today and begin your insurance process automation journey.