Robotic Process Automation (RPA) in Insurance claim processing refers to the use of software robots to automate and streamline the handling of insurance claims. RPA can be used to automate repetitive, rule-based tasks such as data entry, document processing, and claims verification. RPA can help insurers to accelerate claims processing, reduce manual errors, and increase operational efficiency. By automating routine tasks, RPA frees up human resources to focus on more complex tasks and improves customer experience by reducing the time taken to settle claims. Read this presentation to know more.

1. Fast- Track Data Processing with
Automation in Claims Processing
RPA in Insurance Claims Processing
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2. What is Insurance Claims
Processing?
Claims processing is an intricate workflow that involves more than
around 20+ checkpoints that every claim document has to go through
before getting approval from insurers. On an average processing a
single claim take mostly 10-15 days all across the organisation.
According to a report, insurance claims process fraud stand at
$308.6 billion in 2022. And only 30% of policyholders shared
positive experience with their insurance providers.

3. Challenges with Manual
Insurance Claims Processing
To process claims document manually, insurers has
to go through a set of process like extracting
information and verifying details shared by
customers. Some of the claims processing
challenges that insurers go through are-
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Age old legacy
system
Increasing
Claims Fraud
Manual
Data Entry
Lack of
Consistent
Delivery
Challenges

4. Why to Implement Automation
in Insurance Claims Processing
In the insurance industry, large number of workforce is
required or engaged in iterative activity like copying
data, verifying and updating data in systems. The
reason to implement RPA in claims processing due to-
1.Customer Expectation
2.Intensive Data operations
3. Compliance and Administrative Management
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5. How Automated Insurance
Claims Processing Work?
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6. Benefit of Automated Insurance
Claims Processing
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Increased
Efficiency
Reduced
Errors
Cost
Savings
Fraud
Detection
Better Data
Management
Improved Customer
Experience

7. Hyperautomation Solutions... Not just a platform
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