Every enterprise is eyeing on implementing RPA solutions tools; thanks to the benefits of robotic process automation. According to Statista, the forecasted RPA market value for the year 2023 is worth more than $10 billion. Despite the software bots being deployed like hot cakes including IT, service sector, and various verticals, as with any technology, implementing RPA solutions in businesses comes with its own sets of challenges. Companies that do not deep dive before implementing RPA are in for at least a few stumbling blocks; in some cases, they can potentially fail. However, this is not due to an inherent flaw in the technology but due to the inefficient methodologies and myths about the technology.
TAKE A STEP BACK – WHY DOES YOUR ORGANIZATION NEED RPA?
Be clear about your objectives and how you would like to utilize RPA solutions in your organization. According to a 2017 HFS Research, 41% of the research sample haven’t implemented RPA solutions because they have not determined business cases. These questions can help you think it through:
- What would you like to achieve by implementing RPA solutions in your business?
- Are there any processes that do not need a human intervention? These can be easily automated in an unattended way.
- Are your employees constantly doing a clerical task that doesn’t need judgment?
TRACK YOUR SYSTEM – DO YOU HAVE CLARITY ON BUSINESS PROCESSES?
First things first. RPA solutions cannot fix broken processes; it only makes an inefficient process to finish faster. Quoting Bill Gates, “The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.”
Identify and rectify the process bottlenecks before considering RPA solutions. Analyze your employee’s activities, for example, navigation between applications and type and order of tasks. Such a deep dive will highlight the gaps in productivity as well as processes that are streamlined. By using the right BPM platform to streamline the processes, you can understand the right process ideal for automating.
IDENTIFY PROCESSES THAT ARE OPTIMAL FOR RPA
Organizations that are eager to implement RPA in their operations must think wise and choose processes or part of them after assessing the criteria measuring the key process parameters to arrive at the right process that is optimal for automation.
Automating a process that is complex or requires human judgement or cognitive ability may not be the right call. It is important to understand the potential of RPA and the use cases where RPA can help:
- Repetitive tasks that are easily prone to human error
- Tasks that are based on a clear set of instructions or rules – The software bots are unparalleled when it comes to the following if/then rules.
- Tasks that require little or no human effort – Tasks like filling forms, moving files, calculations to name a few.
- High-volume tasks – If your employees spend most of their time punching data into the system, it is ideal for automation.
- Significance – Choose a task that has the greatest impact on your business when automated.
If your employees have to perform such tasks repetitively, then they can be best delegated to the software bots. In such cases, you are saving them from performing tasks that keep them away from undertaking creative tasks. According to a 2017 press release published by Snaplogic, 90 percent of employees are involved in carrying out tasks that are mundane and repetitive.
Suggested Reading: What is Robotic Process Automation and How Can It Benefit Your Enterprise?
CHOOSING BETWEEN ATTENDED AND UNATTENDED AUTOMATION
Unattended automation is where digital workers can perfectly take care of the task. Let’s take an example: in a bank, when a customer approaches with a loan request, one of the first steps is to retrieve the customer information from the bank’s database. This involves extracting information from various sources. This process can be easily automated through bots.
On the other hand, attended automation is where the software bots or digital workers work hand-in-hand with the employees. Going ahead with the same loan request process example, the process can be automated until the task where the manager uses his/her judgement to sanction the loan to a customer.
So, you have decided to adopt RPA in your business. It’s time to choose which team or employee should be engaged in the process. Logically, this will comprise employees that are closely involved with the to-be automated tasks. More importantly, the RPA strategy must be aligned both from an organizational-level and team-level.
Shed light on how RPA initiatives can help the team so that they welcome the change positively. Adopting new technology can be difficult for organizations that are used to doing things in a certain way. The company and its stakeholders must be aligned with the need for automation and feel positive (they must be sold on the benefit) before venturing into an RPA project.
Suggested Reading: Accelerating Digital Transformation: How RPA and BPM Work Better Together?
DO A DEEP DIVE BEFORE CHOOSING AN RPA SOLUTION
When it comes to choosing the RPA solution ideal for your business, ensure the tool that can seamlessly integrate with your existing legacy systems. When you research on the potential vendor, check whether the implementation of the tool will guarantee an easy onboarding of your team with proper training. Many low-code RPA platforms available in the market makes it easy to get deployed.
GOING FOR THE RIGHT RPA SOLUTION PROVIDER
If there are no RPA experts on board, it’s time to get someone who is the best at it. By choosing an expert RPA solutions provider, your teams can quickly get trained from the vast experience the providers come with. Vuram has certified engineers with rich experience in UI Path, BluePrism, and Appian platforms. Sometimes, just RPA solutions might not cut it. You would have to leverage other technologies like business process management, optical character recognition, and analytics to scale and automate end-to-end business processes.