What is Robotic Process Automation?

Robotic Process Automation (RPA) is a solution in which a ‘robot’ can take over standard and repetitive activities that are currently carried out by humans. RPA is not a physical machine. It is software which acts as a virtual (co-) worker in the support of processes. The robot software assists with basic tasks and as such reduces the time and cost spent on processes

The big advantage of RPA is that robots are able to use the existing systems and processes. Therefore no significant investment in the replacement of Payroll systems is needed. Robots are particularly helpful in processes that require a lot of data processing. Typical tasks for robots collecting data from XLS files, running reports, copying data, checking data for completeness, reading, processing and submitting e-mails, entering data in HR and pre-populating forms.

An RPA robot is

  • Software which does not replace existing HR or Payroll software
  • A program that can take over tasks carried out by humans
  • Very useful in supporting data driven processes

Typical HR and Payroll operational challenges RPA can support

  • Extensive multi-step processes that depend on multiple systems (e.g. onboarding)
  • Labor intensive repeatable rule based processes (e.g. payroll)
  • Constantly facing data processing errors and data compliancy issues (e.g. differences in HR and Payroll data)

How RPA can support in processes

Current process: Humans work on interpretation and decision making,
but also on tasks related to collecting, copying, checking of data files et cetera.

Future process: Humans and robots work together. Robots take care of repetitive data related tasks.
Humans are involved in more complex tasks such as interpretation and decision making.

Benefits of R.P.A.

Robotic process automation technology can help organizations on their digital transformation journeys by:

  • Enabling better customer service
  • Ensuring business operations and processes comply with regulations and standards
  • Allowing processes to be completed much more rapidly
  • Providing improved efficiency by digitizing and auditing process data
  • Creating cost savings for manual and repetitive tasks
  • Enabling employees to be more productive

Application of R.P.A.

Customer service

RPA can help companies offer better customer service by automating contact center tasks, including verifying e-signatures, uploading scanned documents and verifying information for automatic approvals or rejections.

Accounting

Organizations can use RPA for general accounting, operational accounting, transactional reporting and budgeting.

Financial services

Companies in the financial services industry can use RPA for foreign exchange payments, automating account openings and closings, managing audit requests and processing insurance claims.

Healthcare

Medical organizations can use RPA for handling patient records, claims, customer support, account management, billing, reporting and analytics.

Human resources

RPA can automate HR tasks, including onboarding and offboarding, updating employee information and timesheet submission processes.

Supply chain management

RPA can be used for procurement, automating order processing and payments, monitoring inventory levels and tracking shipments.

What to look for in RPA Software

Scalability:

Organizations shouldn't select RPA software that requires them to deploy software robots to desktops or virtualized environments. They should look for RPA platforms that can be centrally managed and scale massively.

Speed:

Enterprises should be able to design and test new robotic processes in a few hours or less, as well as optimize the bots to work quickly.

Reliability:

As companies launch robots to automate hundreds or even thousands of tasks, they should look for tools with built-in monitoring and analytics that enable them to monitor the health of their systems.

Simplicity:

Organizations should look for products that are simple enough that any employee in the business can build and use them to handle various kinds of work, including collecting data and turning content into information that enables leaders to make the best business decisions.

Intelligence:

The best RPA tools can support simple task-based activities, read and write to any data source, and take advantage of more advanced learning to further improve automation.

Enterprise-class:

Companies should look for tools that are built from the ground up for enterprise-grade scalability, reliability and manageability.