Digital transformation is at the forefront and has topped many organizations’ priorities. The need for digital transformation stemmed from the existence of incessantly monotonous tasks. Employees tasked with the responsibilities often experience burnout, causing them to lose interest or experience major health issues. Robotic Process Automation takes over dull tasks, allowing capable employees to focus on more creative tasks.
Automating business processes also ensures that there is maximum efficiency and zero errors. The advantages of integrating RPA do not stop with process optimization.RPA warrants an increase in accuracy, and its implementation has a positive correlation with an organization’s profitability and overall success. Robotic Process Automation makes room for innovation, and multiple company divisions experience the consequences. This has become clear since companies are increasing their investment in RPA to expand it to more departments.
1. RPA for Customer Service
The amount of unanalyzed unstructured data stored in a company has the potential to exceptionally enhance customer experience. The interactions with customers are distributed among multiple networks within the organization. The traditional data analytics tools are not equipped to collect and analyze this data.
RPA, when paired with Natural Language Processing (NLP) and Machine Learning (ML), can successfully extract insights from unstructured data. These insights are a valuable resource for predicting customer behaviour and accordingly implementing necessary changes to enhance customer experience.
2. RPA for Automated Reporting
Automated reporting is when either the reporting process is quicker due to automated data collection or is entirely automated. Using RPA to accelerate reporting minimizes human involvement in the process. Any report mandated by regulating authorities can be automatically generated. The essential task is identifying what operations can be automated and the data necessary to make the report. Once the data needed to compile the report is specified, the only human intervention required is to correct any irregularity.
3. RPA for Intelligent Document Processing (IDP)
Another example of RPA and automation leveraging unstructured or semi-structured business data to deliver profitable results is IDP. Intelligent Document Processing can process and successfully obtain information from illegible handwritten documents embedded in emails and images. RPA with IDP, NLP, and ML can extract data from documents despite their format and classify them into relevant categories.
4. RPA for Human Resources (HR)
Right from recruitment to offboarding, HR processes can become repetitive over time. RPA bots can shortlist and filter out resumes faster than when done manually and with unbelievable accuracy. Scheduling interviews and sending out a rejection mail can also be fully automated. The HR professional can review the shortlist and conduct the interviews.
Automation removes the error due to human risk in a business process as essential as payroll management. It involves calculating bonuses, taxes, deductions, and timely salary payments. Companies can automate almost all payroll management by automating the necessary and eligible processes.
Storing employee data right from their recruitment, monitoring their work, interacting, and allotting incentives come under employee management. Checking on every employee and tracking their work daily is a tedious process, especially in a large-scale business. Analyzing an employee’s performance based on how they carry out their work is something RPA can take over. Processing time and staff costs are reduced dramatically with automation. RPA saved 40% of employee time and sped up the onboarding process by ten times.
