Digital Workers are an asset when it comes to repetitive processes, this is difficult to dispute. That said, some RPA implementations are ineffective and are doomed to fail.

It needs to be understood that Robotic Process Automation cannot automate a process that is not fully understood, is not effectively modelled prior to the RPA implementation or, more simply, the process was broken to start with.

To prevent RPA projects failing, a few small steps can be taken prior to any RPA work commencing. However, to understand a solution you need to understand where a project may go wrong in the first place.

 

The Following are a Few Key Examples of Why RPA Projects Fail:

 

 1.    When Business and IT Don’t Work Together

Although RPA is treated as a business led project, it is often delivered by an IT department or an expert external IT supplier. Where there is miscommunication, error and misaligned priorities may arise. In many failed RPA implementations, it is as simple as the two sides not collaborating effectively or efficiently.

In these cases, it is very easy to blame the IT department, however, the business decision may not have fully considered the impact of the mooted change on the IT team and whether they have the ability or even the time to handle the additional work associated with the initial RPA implementation. This is where an expert external supplier, like Venturiq can act as an extension of IT teams, before handing projects back to Customer RPA CoEs to maintain.

 

2.    The Process is More Complex Than First Thought

If the environment in which the automation runs is more complex than expected, the Digital Worker must navigate additional layers of intricacy to make sure that it can continue to operate. This process can be remapped by a developer to fix the fault. However, in an ever-changing environment, the process may be too time consuming to keep editing. Here, a proven Process Modelling Tool, like Signavio, which Venturiq is certified to implement will have helped.

Further, if a process requires human judgement and decision-making at each step, the process will need close human involvement, thereby defeating the whole purpose of automation. This is also an example of a low-automation-potential process.

 

3.    Underestimate the Political landscape of Your Organisation

Office Politics; it’s a surprisingly common cause of RPA failure. The political landscape within any organisation plays a crucial role when implementing RPA. Like other technology investments, the odds of success are vastly increased if the executives and decision makers help to push past the hurdles where and when they appear.

It can be all too easy for other departments and employees to see RPA and Digital Workers as a threat to “the way we do things.”

Change is hard, and, without Executive-level support, can fail.

 

4.    Managing the Change

The introduction of RPA into an organisation can transform the way that organisation goes about its day to day business. Hence an RPA implementation can fail if (i) it is not treated like a Change Management project, with recognised Change Management protocols, (ii) the Operations department is not involved and invested in the change, (iii) inter-departmental communication needs to be aligned to the change and (iv) sufficient measures are taken to ensure that service levels do not drop.

 

5.    Unrealistic Expectations

Conversely, when preparing for an RPA implementation, try to make your targets achievable. Digital Workers can work 24/7, but if you are only automating processes that take that Software Robot 2 hours per day, you will not get the same ROI as you will in the case of 85% + Digital Worker utilisation. RPA will solve some of your problems and save your organisation money over time when implemented correctly and enterprise wide. This will not happen overnight.

Furthermore, RPA solutions require professional services support to deploy, onboard and maintain, moving forward. Some will ignore or misunderstand the total costs of RPA, leading to expectations not being met.

Manual work is what RPA is intended to reduce, so a small amount of due diligence can go a long way to making sure your RPA project excels and doesn’t fall at the first hurdle. This is where Venturiq, with world-beating Blue Prism certified RPA implementation pricing, coupled with certified skills in associated areas, like BPM, OCR, AI and ML comes in. Talk to a specialist at Venturiq today and enhance prospects of RPA project success.