RPA USE CASES
Get to know where and how does RPA fit in various business process use cases.
RPA for BPO
Any business process that can be defined and described to be outsourced is a best fit to be automated using Robotic Process Automation. Eliminating low skilled, repetitive, high volume of low cost processes can help BPO providers to accelerate BPM innovations. With the incorporation of RPA tools and products the BPO business model will be remodeled to a higher value skillset with a deeper domain knowledge.
UiPath is the best BPO automation software which has been refined to be a perfect match to the BPO use cases. The reason UiPath is the best fit is:
- Processes with a wide and diverse range of requirements and complexity can be automated.
- BPO processes can be automated quickly with reliability.
- Fewer robots and less infrastructure requirement.
- Application security, data security and encryption and operational security.
In order to build a solid foundation for a business your enterprise may need SAP automation. Error prone databases and inaccurate information are the things of past for large businesses. Since most businesses are thinking automation first, automating the SAP business processes will allow your enterprise to stay ahead of the curve.
RPA provides maximum reliability that saves many man hours. When it comes to SAP database an SME cannot afford errors that are bound to be made by humans. SAP automation cuts down the error rates thus increasing productivity.
RPA for SAP can be used for
- SAP automated data entry
- Legacy application integration
- Content migration
- SAP screen scraping
Common automation examples are
- Starting or closing a case
- Filling a form on screen
- Copying and pasting data between SAP and other applications.
- Comparing data fields on screen
- Identifying an exception and reporting
- Content migration
- Data mining
RPA using AI
RPA with AI significantly reduces email communication turnaround time
A leading global insurer uses smart RPA robots to classify inbound customer requests. The challenge was that a single inbound email channel lead to inconsistent customer service. As a solution the RPA robots read the incoming email queries, send them to a machine learning model to classify the request to route it to the appropriate channel for follow-up. This resulted in better turnaround time and consequently better service.
Healthcare automating self service triage.
Policyholder submits claim for car accident. The RPA robot extracts the data of the claim and uses the machine learning model to recommend claim approval or denial. In case of an exception the robot routes the application to the team and on approval automates the next steps.
Fraud detection in retail banking
RPA robots can detect potential suspicious activity for a bank client. The robots can analyse the level of fraud and can send reports immediately to the concerned persons for analysis. The fraud prevention times can be reduced from 45 minutes to 20 minutes by eliminating human involvement. Simplifying arduous processes can significantly reduce processing times to 5 minutes with 95% automation.
Banking institutions can experience better financial performance with deeper insights on the data analytics. By going through the granular data points for processes being executed fraud detection can be made a lot easy. Robotic process automation can be readily implemented with the existing applications like web, desktop, CRM and ERP applications.