Business Automation Developer at Polaris Bank Nigeria Plc
Real User
Top 5
2023-05-19T13:32:23Z
May 19, 2023
Claims processing: this is a process where insurers need to collect information from multiple sources. Some example sources, where insurers spent time gathering and checking information, are:
Auto insurance: The likes of Police reports of accidents, driver’s licenses, and photos of damaged vehicles
Travel insurance: Photos of damaged luggage and boarding pass
Life insurance: Historical medical records
Processing these data sources manually makes the process dull, time-consuming, and prone to human errors. Automated claims processing reduces manual workload by 80% and the time necessary for the operation by 50% Insurance companies can leverage RPA bots to automate the following steps of claims processing:
Extraction of information Integration of claim-related sources Inputting data into the systems Identification & verification of fraudulent claims
Registration form handling: The integration of optical character recognition (OCR) with RPA enables insurers to automatically interpret content from registration forms and direct the information into the appropriate workstreams. This increases accuracy and data quality while reducing insurance backlogs.
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I have been focusing on RPA technology for academic reasons for the past 3 years. Since then, I've read many real implementation use cases from many serious researchers.
Regardless of the industry, you are interested in, you should read any of them. I could suggest you some of them:
1- Lacity and Willcocks, 2016 (Telecommunications Services)
2- Moffit, R. 2019 (Audit)
3- Hartley, 2019 (Supply Chain)
4- Lacity and Willcocks, 2015 (energy sector)
5- Anagnoste, 2017 (Backoffice)
6- Lamberton, 2017 (Insurance Industry)
7- Filipek, 2019 (Financial)
All of these use cases above will help you understand how RPA is deployed and what problems you will face.
This is the safest way to get good information about technology. Otherwise, you will only get marketing.
RPA automates repetitive and rule-based processes, allowing businesses to streamline operations and reduce human error. It integrates with existing systems to perform tasks like data entry and report generation without human intervention.With the ability to mimic human actions, RPA software enables organizations to optimize their workflows and boost efficiency. It is easily scalable and can handle complex workflows by operating continuously, unlike traditional manual processes. Users...
Claims processing: this is a process where insurers need to collect information from multiple sources. Some example sources, where insurers spent time gathering and checking information, are:
Auto insurance: The likes of Police reports of accidents, driver’s licenses, and photos of damaged vehicles
Travel insurance: Photos of damaged luggage and boarding pass
Life insurance: Historical medical records
Processing these data sources manually makes the process dull, time-consuming, and prone to human errors. Automated claims processing reduces manual workload by 80% and the time necessary for the operation by 50% Insurance companies can leverage RPA bots to automate the following steps of claims processing:
Extraction of information
Integration of claim-related sources
Inputting data into the systems
Identification & verification of fraudulent claims
Registration form handling: The integration of optical character recognition (OCR) with RPA enables insurers to automatically interpret content from registration forms and direct the information into the appropriate workstreams. This increases accuracy and data quality while reducing insurance backlogs.
The insurance domain is very big. It has different ways of working in India or in other countries.
I have experience in the European region for more than 5 years where I had implemented the below (majorly) use cases with great ROI achievement:
1. Document Processing (Management).
2. Communication to Counter(Third) Party or Customer.
3. Policy Creation.
4. Policy Update.
5. Policy Cancellation.
6. Claim Processing.
There are still much more use cases but the above ones have good ROI in lesser time.
And again, it all depends upon various parameters that make a use case to be a good business case followed by a stable environment.
Regards,
Amol
RPA is used in the most financially intensive business across all industries:
If it is specific to the insurance industry:
- Damage assessment.
- Contract tracking.
- Operation reports.
- Premium calculations.
- Customer product information.
The topmost processes in the insurance industry to be automated with quick gains and wins are:
1. Claims Processing.
2. On-boarding new insurance customers.
3. Printing and dispatching of policy documents requested by customers via Service Request (or Helpdesk).
4. Uploading of documents for Claims Processing during Insurance Sales and during the eKYC Process.
5. End to End (Sales Process of insurance: Life, Motor, Medical, others).
6. KYC Process automation or eKYC Process automation.
7. Benefit Realization.
8. Need Analysis for an insurance product (part of a customer sales journey).
9. Policy renewals process.
10. Policy expiration and notification.
Thanks.
Hi @ERNEST KUZOE ,
Some of the use cases are as below on which i have worked with some customers,
Regards
Shibu
Here are some of the most popular RPA use cases in insurance:
● Claims processing and management
● Underwriting
● Policy administration and servicing
● Regulatory compliance
● Business and process analytics
● Report automation
● Brokerage processing
Depending on where there is more volume of swivel chair operations you could pick the area for automation.
Usually, submissions are the best place to start with.
Dear @ERNEST KUZOE,
I have been focusing on RPA technology for academic reasons for the past 3 years. Since then, I've read many real implementation use cases from many serious researchers.
Regardless of the industry, you are interested in, you should read any of them. I could suggest you some of them:
1- Lacity and Willcocks, 2016 (Telecommunications Services)
2- Moffit, R. 2019 (Audit)
3- Hartley, 2019 (Supply Chain)
4- Lacity and Willcocks, 2015 (energy sector)
5- Anagnoste, 2017 (Backoffice)
6- Lamberton, 2017 (Insurance Industry)
7- Filipek, 2019 (Financial)
All of these use cases above will help you understand how RPA is deployed and what problems you will face.
This is the safest way to get good information about technology. Otherwise, you will only get marketing.
Good reading.
O. Moderno