You have a variety of factors to consider when identifying opportunities for robotic process automation:
If a process is predictable, repetitive, and high-volume, for example, it might
be a prime candidate for RPA.
However,
due to high expectations – and sometimes misplaced hopes – some people veer off
the path to a successful RPA initiative before they really get going. When this
happens, it can be the result of a basic misunderstanding about what RPA is or
how it works.
RPA improves business processes:
RPA automates processes. If those processes need to be improved,
though, you have to do that work – RPA won’t do it for you, and automating a
flawed process isn’t productive.
“As
companies look to digitally transform themselves, they are looking to
streamline and modernize processes,” says John Thielens, CTO at Cleo.
“While RPA perhaps can be viewed as a form of streamlining, it streamlines
processes in place, but by itself does not necessarily improve them.”
Thielens
notes that this misunderstanding can occur in organizations that are looking
for process improvements as part of a broader digital transformation; they
might see RPA as a solution to process woes when it’s better looked at as a
tool for achieving new efficiencies and productivity gains with
well-established processes.
There’s a
related mistake people make with RPA: Automating a process you don’t fully
understand. Eggplant COO Antony Edwards recently told us that this is a common
pitfall: “Most people don’t have clearly defined processes, so they start
automating, and either automate the wrong thing or get lost in trying to
reverse-engineer the process.”
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