Expert.ai Case Studies Teaching an Old Dog New Tricks: Pet Claims Automation at RSA Group

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	Teaching an Old Dog New Tricks: Pet Claims Automation at RSA Group Expert.ai

Teaching an Old Dog New Tricks: Pet Claims Automation at RSA Group

Expert.ai

Technology Category	Analytics & Modeling - Natural Language Processing (NLP)
Use Cases	Automated Disease Diagnosis Fraud Detection
Services	Data Science Services
Challenge	Pet insurance has emerged as a high-growth product line for RSA, but the claims review process has proven very time consuming given the amount of documentation they need to manually review for each individual claim. Fearing the negative impact a slow claims process would have on response times and the overall customer experience, RSA sought out a solution that could automate some of this timeconsuming claims process. Read More
About Customer	RSA Insurance Group Limited is an international insurer with more than 300 years of experience protecting individuals, small businesses and large organizations from uncertainty. They offer a wide range of insurance products and services, including pet insurance, which has emerged as a high-growth product line for the company. However, the claims review process for pet insurance has proven to be very time-consuming due to the amount of documentation that needs to be manually reviewed for each individual claim. Read More
Solution	RSA is leveraging expert.ai’s advanced natural language capabilities to automate the reading, understanding and extraction of meaningful data from claims packages. The resulting AI-based solution enables RSA to recognize document types, extract relevant information from each document, analyze the claim described within the filed report and determine whether it is covered by the policy. Via expert.ai technology, RSA can review a higher volume of pet insurance claims and deliver accurate decisions far quicker than they could manually. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Natural Language Processing (NLP)

Use Cases

Automated Disease Diagnosis

Fraud Detection

Services

Data Science Services

Challenge

Pet insurance has emerged as a high-growth product line for RSA, but the claims review process has proven very time consuming given the amount of documentation they need to manually review for each individual claim. Fearing the negative impact a slow claims process would have on response times and the overall customer experience, RSA sought out a solution that could automate some of this timeconsuming claims process.

About Customer

RSA Insurance Group Limited is an international insurer with more than 300 years of experience protecting individuals, small businesses and large organizations from uncertainty. They offer a wide range of insurance products and services, including pet insurance, which has emerged as a high-growth product line for the company. However, the claims review process for pet insurance has proven to be very time-consuming due to the amount of documentation that needs to be manually reviewed for each individual claim.

Solution

RSA is leveraging expert.ai’s advanced natural language capabilities to automate the reading, understanding and extraction of meaningful data from claims packages. The resulting AI-based solution enables RSA to recognize document types, extract relevant information from each document, analyze the claim described within the filed report and determine whether it is covered by the policy. Via expert.ai technology, RSA can review a higher volume of pet insurance claims and deliver accurate decisions far quicker than they could manually.

Impact #1	As a result, claims handlers can focus more of their time on high-value tasks and significantly reduce customer response times.
Impact #2	In addition to the customer benefits and increased throughout, the extraction of key data points also helps to reduce costs by highlighting fraud and decreasing erroneous payouts.

Impact #1

As a result, claims handlers can focus more of their time on high-value tasks and significantly reduce customer response times.

Impact #2

In addition to the customer benefits and increased throughout, the extraction of key data points also helps to reduce costs by highlighting fraud and decreasing erroneous payouts.

Benefit #1	Reduced erroneous pet payouts by 5+%
Benefit #2	Reduced manual document review times by up to 90%
Benefit #3	Reduced overall claim review times by 75%

Benefit #1

Reduced erroneous pet payouts by 5+%

Benefit #2

Reduced manual document review times by up to 90%

Benefit #3

Reduced overall claim review times by 75%

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Overview

Teaching an Old Dog New Tricks: Pet Claims Automation at RSA Group

Operational Impact

Quantitative Benefit