Robotic Process Automation is one of the most groundbreaking technologies to have emerged in the past few years. The ability of RPA to rapidly generate ROI has made it an excellent investment for CTOs across the globe.
Companies around the world are increasingly implementing RPA to streamline their operations and digitalize the process to make them less human-dependent and more machine-driven.
RPA programmes have enabled companies to become more efficient and cost-effective. According to McKinsey, RPA will bring about a rapid and robust ROI, i.e. up to 200% in the first year of implementation, and 20-25% cost savings.
We are at a stage where both adoption and scaling have progressed enormously, and RPA has achieved new maturity levels, becoming a must for businesses determined to seek a real competitive advantage.
Gartner expects that 72% of companies will implement RPA over the next two years. Many companies embark on RPA projects hoping to rapidly realise substantial benefits.
With minimal effort, and little or no disruption to existing processes or applications, many companies embark on RPA projects hoping to rapidly realise substantial benefits. Nevertheless, most soon they realise that implementing RPA is more complex than they had expected. Oftentimes, there is a tendency to forget the ‘P’ in RPA: process.
RPA deployment is not hard, but it’s not easy either. Some missteps along the development journey can cause your automation project to miss its projected return on investment.
Here’s a checklist that can help you avoid your RPA initiatives from common pitfalls.
Employee Resistance and Onboarding
Employee resistance and onboarding is characterized as the changes that are applied to the new technology. The changes can be stressful because they include duties and can also influence the daily routine of an employee. It also calls for new skills, frequent communication, and the method of implementation. It falls under the most commonly recognised RPA challenges.
High volume, rule-based and repetitive tasks are included in robotic process automation. Data entry and migration tasks are the best outcomes for these activities. If deploying Robotic Process Automation solutions requires attended robots, then chances are few complexities can occur every time that needs to be tested.
Plan to Scale
You will find that you start losing control by working process by process. A support structure around the execution is required. The best idea is not to automate single processes and expect them to operate quietly by themselves. By looking at the bigger picture, you will be able to plan and scale up to match the project with the objectives of the company. If not initially planned, scaling RPA programmes becomes difficult. By implementing, recording, ongoing enhancement, and change management, you will save yourself a lot of trouble.
Mismanagement of Responsibilities
There are a lot of tasks involved in robotic process automation. For any approach that is being applied to the processes, there must be a concerned individual. Suppose if your company is introducing robotic process automation technologies, then you can encounter the mismanagement of duties as a major obstacle. So you have to consider this fact for sure before deploying robotic process automation solutions.
The stage at which the implementation has been completed and all procedures have been successfully implemented explores few RPA challenges. Maintenance is one such obstacle. RPA systems need some maintenance during the running and performance phases. Technically, if you do rule-based or repetitive activities, the performance must be preserved. If the maintenance protocols are not initiated, you would certainly find it difficult.
In the modern age, one of the key challenges of RPA implementation is that you have to implement the infrastructure and deploy it to the desired venue. Each company should have a team responsible for all the processes in order to execute the RPA solution and watch out for these kinds of RPA challenges.
Lack of RPA structured teams
As always, another pitfall is the lack of structure. The good news, though, is that it’s not too hard to repair. ‘Effective structure’ is the product of clearly identified team members’ responsibilities, adequate awareness of the processes chosen for automation, as well as not enabling resources to be shared between several projects in progress.
Technical and Operational Issues
Because ease of configuration is a key feature of the RPA, it can be easy to forget to ask for and act on the technical staff ‘s advice on technical and operational issues. The solution is simple though, it amounts to following RPA maintenance protocols after the implementation process.
Post Implementation adoption
If your organisation has adopted robotic process automation technologies, then it is mandatory to take into account the problems that come after implementation. After introducing solutions for robotic process automation, the most obvious challenge is that many enterprises are unable to accept pushbacks. RPA can also only offer you advantages when you have a local team with the expertise and good leadership required.
The main difficulty with ownership is many enterprises don’t consider the requirements, skills, and designs. Ownership also consists of all the responsibilities, for example, decision-making process needs to be more clear and sharp, every team must have a leader which has the required knowledge to understand all the processes etc.
Team support, a cultural shift to embrace RPA, and well-structured teams are crucial to resolve the challenges of process analysis that occur during the implementation of the RPA. In case something goes wrong, the teams need to have a contingency plan in place, which is tried and tested to work.
For businesses today, customization is the most significant factor. Every organisation needs to customise solutions according to their preference or requirements. But it isn’t easy to introduce customization in the case of Robotic Process Automation. RPA is a skill that requires unique identity, the latest technology, industry insights etc. Customising the solution to tackle all possible pain points is the key.