Major Pitfalls that could Lead to RPA Execution Failure

Robotic Process Automation (RPA) is the new buzzword in IT and many big enterprises are already implementing it in their business processes to take full advantage of its numerous benefits.

According to a research, the global market for RPA services and applications grew by a whopping 63% between 2016 and 2017. By 2021, the RPA market is projected to have a compounded annual growth of 36%.

RPA has been touted as the next big thing by industry experts but with all the excitement surrounding it, there is one fact that most business leaders aren’t noticing – Many RPA implementations are not successful.

That doesn’t mean RPA is a failure, it just means that the way companies are implementing RPA needs to change. Looking at the different implementations, it’s possible to recognise patterns and identify the reasons why RPAs don’t end up working as expected.

Here are the key reasons why most RPAs fail:

1- Not looking at the big picture

The biggest and most common mistake companies can make is focusing completely on the RPA component of the process and ignoring everything else. A successful automation requires teams to also focus on the other component technologies that work alongside RPA to address the complete requirement.

Without a broader plan in place, implementing RPA can lead to an array of extensive tasks. Instead of a quick sprint, your team may end up with a multi-stage relay race.

That is why it is important to have a comprehensive design and plan in place from the very beginning to make RPA a success.

2- No seamless collaboration between IT, business, and governance

The success of RPA implementation is driven by both business and IT teams with RPA governance sitting directly in the space between them. By forgetting to maintain consistent communication between the two sides through governance, it can become difficult to deal with obstacles and potential integration issues.

There are thousands of moving parts in play with an RPA implementation, and strong governance is the only effective way to deploy RPA at scale and automate critical processes. Governance dashboards can also shed light on issues and help identify problems that would have otherwise been hidden.

3- Forgetting maintenance

Many companies assume that once they have set up RPA bots, those bots will automatically run and operate autonomously in the background without any issues. When in reality, automation bots need to be constantly maintained and managed throughout their lifecycle.

For instance, if a company has over a thousand bots, then each software running in the background to keep the bots operational will require security patches and updates leading to different versions.

It would not only be important for IT teams to update the bots as the requirements change regularly, but to also make sure everything is running smoothly and the new changes aren’t disrupting the system in any way. Without proper maintenance protocol in place, the automated processes can easily malfunction or become updated.

4- Not paying attention to the design phase

When projects are built on comprehensive design, they are always a success. The reason for the failure of most RPA implementations is that companies dive headfirst into software configuration and ignore the primary step of design.

For instance, many companies spend too much time discussing which RPA software they should use instead of discussing which business processes should be automated.

Designing the target end-state model, reviewing the processes that need to be automated, and linking those processes to the existing control points are just as important as the actual RPA implementation.

In conclusion

RPA has the power to take a company’s digital journey forward and deliver bright results, but that is only possible if it is implemented correctly. By avoiding these key factors, you can make your company’s RPA a success.

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