While the benefits of RPA are hard to ignore, the growth of this technology is slowing down. RPA’s value for automating existing processes is fading, with less time being used as organizations shift to the broader goal of global automation.

Currently, RPA applications often require automating existing legacy processes and applications using bots. But in the age of intelligent automation, those same applications and processes are largely standardized, meaning there is less need for RPA bots.

Vision to create

Many legacy applications and systems have been developed over the past decades to perform tasks and processes that would normally require computer intervention. To improve legacy “computer-based” processes, RPA streamlines these processes without any changes to the underlying infrastructure or access to legacy code.

And now, any new system, the first built digitally, can be more self-contained, making it flexible and integrated with everything else without the need for RPA to pass for a while and – fill in the gaps in a short period.

RPA can be a useful starting point to improve operations and improve tedious and expensive tasks that people think, wrongly, prevent employees from doing more useful work. Compared to how RPA handles low-level processes, it is a low-code application that provides strategic insights to create, optimize and transform critical business processes that drive hyper-automation and innovation.

One of the reasons low code will work so much is because it facilitates the delivery of newly built systems, delivering enterprise-grade applications and reusable assets that are always ready. for upgrading automatically.

In addition, low-level tools and platforms address the growing need for closer collaboration between technology and business sectors to achieve broader and deeper digital transformation. This enables seamless communication on how to digitally transform and streamline end-to-end processes for the benefit of all.

Advantages and disadvantages

As little code continues to eclipse RPA as the ultimate automation technology, there will continue to be debates, twists, and turns in the “pros and cons” debate. Businesses have a high sense of risk in investing in new technology and will want any trust in vulnerable code to be accompanied by a controlled risk and high visibility of what is being done. build and change.

However, it is well known that traditional RPA comes with increased costs. There is a need for high support from any need to fix bots, as internal and external legacy systems are replaced and constantly updated, without warning that bots are down. Often overlooked is the recent distraction of RPA vendors claiming to be “low code” themselves. Although many visual devices can claim low code credentials since they don’t need code to make changes, that’s far from companies gambling their future on platforms.

There will be a movement of low-code applications and eventually a focus on the use of low-code enterprise applications that deliver the benefits of agile development but within a governance framework. As a result, the risks associated with low code are already identified and because IT teams are better placed to look at how, unlike RPA, the tools are used the system has been simplified and the process has been improved in the long term.

RPA temporary stopgap

One of the maxims about how IT teams use technology is that they should not do anything one-size-fits-all and quickly. Using APIs, organizations can benefit from a hybrid of low-code and advanced code models that can combine low-code functionality with custom applications.

Unlike RPA, where most bots automate legacy processes that fall apart due to a lack of governance and often without a consistent end game, low-level platforms are the exception.

Another change from old-school RPA is the arrival of low-level code in the brain or the strong integration of AI into it. RPA can use AI, but it is often applied as an afterthought for legacy systems that are not ready for the scalability, security, or power necessary to benefit from it beyond integration with earlier digital systems.

RPA has helped many companies achieve significant improvements in human resources and legacy systems. However, the limitations of managing large numbers of standalone RPA bots have emerged in recent years.