RPA, or Robotic Process Automation, has quickly become one of the most popular tools for businesses in various fields; from FinTech to healthcare. As with all new and evolving technologies, there can be certain flaws and weaknesses, and although they are expected, there are ways to deal with the challenges. In this post, we will look at 3 challenges and how to overcome them.
Culture shock
Perhaps the most prominent challenge businesses face is that Automating Processes with Robots can be a huge system shock to anyone unfamiliar with a tool like this. . Just like AI, RPA works in a programmed way, and it can be difficult for anyone unfamiliar with it to adjust. Fortunately, there are several solutions that can help, from investing in RPA consulting to get input from a trained professional who can guide employees and business owners as they familiarize themselves with their new tool, through dedicated education through courses and online sessions.
After dealing with the initial shock of working with a piece of software designed to make life easier, many will find the potential almost too good to be true when tasks are handled and Simplify with minimal fuss.
Manual input may be required
While RPA is a great way to handle specific tasks and challenges, the harsh reality is that it is still a developing technology and as such, may require human input. This may require additional resources at first, but over time and as people know what RPA is capable of and how to use it, it doesn’t take long to assign the corresponding task.
A good solution to this need for human input is to define what an RPA can do, as briefly mentioned above. While limited to certain skills, a good RPA tool can certainly make workload management easier by automating specific tasks, data operations, etc. RPA tools are on the right track. Over time, RPA technology will inevitably evolve until manual entry is no longer required or until it is significantly reduced.
Reviewing best practices
RPA is just a tool and a place where AI can have difficulty complying with specific protocols and regulations (such as GDPR rule), RPA is even more restrictive. Unfortunately, this can sometimes lead to malfunctions, which is why human presence is recommended, but there are ways to work around this dilemma. For example, by ensuring that the tool is not required to perform tasks that may violate best practices (such as avoiding data storage when compiling information), the risk of GDPR violations will be reduced. reduced if not completely eliminated. As stated before, a good consultant in the field of RPA can provide guidance, support and education whenever needed.
