By JOLT Experts on Jan 20, 2020 9:18:12 PM
The start of the new decade has put Robotic Process Automation (RPA) at the front and center of innovation and digital transformation for many organizations.
For those who are just beginning their automation journey, one of the most common challenges is identifying and selecting the right processes for automation in order to yield the best results to continue to scale.
RPA tools are typically known for being able to virtually automate any manual transaction that involves data, rules, and user interface. This allows beginner organizations to choose from a plethora of business processes by evaluating their automation potential and the chances of securing an immediate ROI post go-live.
But to determine the most ideal use cases for RPA, we recommend evaluating them through these key criteria:
High transaction volume
RPA is known to be the most efficient tool to address high volume tasks with software robots that can work 24/7 completing time consuming and repetitive activities around the clock with flawless accuracy and without human supervision.
So organizations no longer have to rely on employees that work on a certain schedule to complete manually these activities risking delays and errors that can affect customer satisfaction.
Standardized, repetitive tasks
Routine processes running periodically are prime prospects for automation, due to their rule-based nature, repetitive activities can be run by robots that follow a specific sequence of events provided the data and trigger needed.
Mature and stable back-office processes that are well-documented and with predictable operational costs like invoice processing, payroll, and on-boarding are perfect candidates as they don't involve complex decision making unlike some front-office processes.
Low complexity and exception handling
To determine the complexity of a process, organizations need to look at the number of applications involved, number of steps and clicks required to complete the task, as well as how often a human intervention is needed. If the process is deemed highly complex and with variation scenarios in the activities, it could lead to different handling of procedures and will require more time and investment to set up a workable automation, which might require process optimization first.
An additional consideration is whether the process is part of a system that is likely to undergo methodology changes or changes to its interface or configuration in the short term.
If you're just starting, we recommend selecting the most simple processes to learn the best practices and yield the fastest ROI, in that way, you can be better prepared to tackle those more complex processes later on.
Processes that are triggered by standard and readable electronic inputs like MS Word, Excel, XML, PPT, PDFs, are easy for robots to handle, and if working with scanned images, OCR (Object Character Recognition) or computer vision technologies might be required to process the data properly before streamlining it in automation.
High ROI potential
Choose processes that can provide significant automation savings, usually 2 FTEs work-effort that if automated you can measure against the costs of doing it manually, including non-FTE savings such as improved customer service, reduced errors, faster processing times, and higher employee satisfaction.
There you have it, 5 simple ways to tell if your business process is ready for automation, if you'd like to see a visual aid of this blog, check out this infographic to easily determine if your process should be automated.
Did you hear that Gartner just named 'hyperautomation' as its #1 technology trend for 2020? If you can't wait to start harvesting the benefits of true enterprise automation, contact us for a free consultation and work with us on a Proof of Concept that will optimize your business operations in just a few weeks.
- "Maximizing the Value of RPA with Process Mining and Optimization"
- "Process Mining: Design Your Robots with Scientific Precision so They Are Right the First Time"
- "Streamline RPA with Process Discovery and Optimization for Automation"