With the rapid advancement of automation technology, some are worried that new solutions might supersede the process automation that RPA offers. However, it is not a case of new technology superseding, but rather, complementing and working together with existing RPA capabilities.
Robotic Process Automation (RPA)
In 2017, organisations started to get serious about automation. Research from the wider automation industry has revealed a lot about how businesses are developing and controlling their automation programmes. I was recently at the RPA (Robotic Process Automation) and AI (Artificial Intelligence) in BFSI (Banking, Financial Services and Insurance) show in London; here’s a snapshot of the top automation concerns amongst the event attendees I spoke to:
You’ve learned the definition of Robotic Process Automation (RPA). You’ve learned about how it works and about the impressive results that can be realized. So, now it’s time to take the next step to explore some lesser known concepts and truths about RPA implementation.
1. RPA is a lot tougher than most people think.
The SAVO methodology speaks to our origin story as process-focused organization. We set out to emphasize the importance of process as the foundation for any stable and meaningful transformation. What SAVO represents are the following steps to digital transformation:
“RPA is more complex than you think”, as said by my wise colleague, David Brain. In fact, not only is the technology itself complex, but the successful deployment is also largely dependent upon extensive planning and collaboration among key stakeholders. That’s why it’s critical that champions and executives prepare the organization for RPA implementation as a first step in the process.
A common question when considering Robotic Process Automation (RPA) is what process would be the most optimal one to automate. When looking for a candidate process, you should be focused on a couple key requirements. First, you will want to identify a process that is rule-based, so it doesn't require any human judgment capabilities in its operation. If you have processes that have human-judgement elements, they may still be suitable for RPA but you'll need to hand out that portion of the work to be done by an individual and then pass back it back to the robot.
Customers embark on an RPA journey for a variety of reasons. For some it's about not being able to grow organically with the traditional models of adding new people into the mix. For others, it can be a desire to achieve greater cost certainty and overcome the challenges of moving work offshore and the uncertainty that it brings into today's political climate. Regardless of the reasons why companies embark on the journey, a common outcome is sought - a high-quality service with a reduced cost of operating.
Using a diverse set of intelligent automation tools together to achieve your business aims isn’t always easy. More often than not, it involves figuring out how to integrate these different tools in what can become a very complex IT project.
Ever since humans began using robots to tackle tasks, there have been naysayers predicting everything from all human jobs being written off by 2020, to complete world domination by a race of self-aware machine overlords.
The entire source-to-pay spectrum in procurement stares at the eventuality named automation. With automation having the potential to lower procurement costs, generate greater savings and render greater value, its aggressive foray into the source-to-pay spectrum remains only a matter of time.