RPA is a disruptive technological advancement that has received a lot of attention, applause, as well as criticism. There are perspectives, speculations, and interpretations that spurt from lack of knowledge and fear of automation taking over human processes completely, and that’s exactly why the common myths need to be spelled out and busted.
Here are the 5 most common RPA myths that’s causing undue unrest and chaos among employees all over the world.
RPA will make human employees redundant
It won’t. At least not the current technology. Scientists are trying hard to develop cognitive abilities among robots but that’s far from happening. Robots are here to make processes faster, more accurate, and efficient but they need human monitoring and controlling. Also, there are many other processes that bots cannot do justice to. This is where manpower will be allocated to optimize efficiency and maximize customer experience.
Organizations will not need outsourcing any longer
No organization will automate all its processes as it may not be a very cost-effective idea. There will always be chunks of work that are best outsourced. BPOs and KPOs on the other hand can up their game by adopting robotic process automation to make their deliveries more timely and accurate.
RPA can automate all process
RPA is a series of process automation but there are certain limitations as it cannot and are not engineered to automate all processes. Human interference is required to take decisions based on data and numbers calculated by robots.
RPA is always correct
Well, they are always accurate but not always correct. The system work on algorithms fed into them but if there is an error in the algorithm, they will never be able to spot it. In worst scenarios, the bots might continue to give out incorrect results without spotting the mistake. Thus, it is very important to have human supervision and controlling at all levels.
RPA is about cost reduction
RPA is not about cost reduction, in fact in the short run, it is quite an expensive investment to make. Automation is aimed at making process quicker and better while optimizing final output and costs.