Challenges for Robotic Process Automation in 2020
The meteoric growth of robotic process automation (RPA) makes it seem as though nothing can hold it back. RPA has brought about huge and rapid change across many industries, orchestrating improvements that would have seemed impossible only a few years ago.
Your competitors are already using robotic process automation to digitise labor, capture and store big data, run social media accounts, or manage cloud computing environments.
Sensibly, businesses want to implement robotic process automation systems of their own in order to remain competitive. Here are a few of the many challenges faced by business and industry.
Robotic Automation Development
To benefit most from RPA, you’ll likely need a custom package designed for your business. Designing such automation systems is still an emerging, unique skill set.
You’ll need to locate an automation process developer with a team that is familiar with your business and how automated processes can best be used to maximise ROI. The journey won’t be an inexpensive one – finding the right professionals is critical to make your robotic process automation implementation successful.
When you find a capable automation team, you’ll need to help them create processes tailored to your business. But analysing, streamlining, and transferring your processes to robotic automation is often more difficult than expected.
You’ll have to get your own team focused on the concept of putting your processes into robotic automation. You’ll also have to explain how the change will benefit both the company and your team. This approach requires a lot of planning and forward-thinking.
You likely have a process that is repetitive and tedious that you want to eliminate with robotic process automation. It would be so much easier if the task could run overnight, then human workers could take over in the morning. But automating a process via RPA can be very expensive to analyse, develop, program, implement, and maintain. If it doesn’t save a considerable amount of labor, cost, and time, it may not be economically viable.
Maintaining Process Automation
Even after your robotic process automation goes live, you can be sure that it’s going to need your attention again one day, sometimes the next day. The first few months of implementation might even make you question if you made the right choice in the first place. Robotic automation processes require regular maintenance, just like the physical robot arms swinging around your facility. Otherwise, expect issues to occur at the worst time.
Every enterprise is automating but up until now automation has been a largely organic affair.
Currently, organisational groups manage automation in separate, often disparate ways. That has led to “islands of automation” in many organisations: redundant processes and tools duplicated with little regard for standards, governance, or metrics relevant to the business such as product revenue or time to market.
In 2020, the automation market will see a shift from point solutions to more comprehensive offerings that will address integration challenges and will enable best-in-class features that enterprises require. 80% of enterprises will recognise the threat of automation islands and determine that they’re no longer sustainable.
As a result, they will set up automation strike teams, a new organisational approach with new roles, skills and jobs, that sits between traditional IT and domain experts.
Where jobs are concerned, industry likely won’t experience dramatic job loss over the next decade, though many workers may see the content and quality of their jobs shift as technologies are adopted for particular tasks. There will be no dramatic job loss because the adoption of automation takes time: the dynamics that have created barriers to innovation are likely to persist over the next five to 10 years.
This is probably true for other industries and type of jobs where inertia will triumph over automation for some time to come.
Further automation challenges will arise but as industry becomes more aware of these challenges, solutions will be found to drive automation forward, speed up progress and create more agile methodologies to ensure a maximum return on investment.