Virtualization Technology News and Information
Key Considerations When Building Your Automation Pipeline

By Jon Theuerkauf, Chief Customer Officer, Blue Prism

So you've built your Robotic Operating Model (ROM) and you're starting to deliver these processes - but how do you know if you've identified the right processes for automation?

If you ask your business team, they will quickly tell you their "pain points". However, often times these are not always the most relevant processes to automate as part of your wider digital transformation strategy 

In order to truly identify the best processes for your Digital Workforce, consider following the steps below: 

Closely Examine which Processes to Automate

At the early stages of defining your robotic process automation (RPA) strategy, businesses need to carry out some fundamental analysis and think critically about which processes are in place. Which processes have you identified? And are they the best processes for your Digital Workforce to be executing?

To complete this analysis effectively means looking at all processes and quantifying what goes into the automation pipeline. Start by reviewing the return on investment (ROI) by applying automation to each of these processes. Next, consider the highly repetitive and tedious processes, which are typically error-prone and frequently call for high amounts of effort and re-work. 

Challenge the Prevailing IT Mindset

"No code RPA" allows your operations team to define their own processes, democratizing the entire automation process. 

Allowing people from a business background to design and initiate their own automation processes is a game-changer. It means the whole process is repeatable, simple to set up and reduces the increase of ‘grey IT' within your business.  

However, it's important to note that it can take a while for this outlook to become embedded in an organization and become accepted. Organizations must make sure that the average employee knows they can create software robots without programming skills, just by easy steps of configuring them. This alleviates the pressure placed on IT departments and puts both power and efficiency into the hands of the employee to determine for themselves which tasks need to be automated and how to begin executing on the automation process. 

Remove the Test Environment for RPA 

Often times when implementing new processes, companies allow for an elongated test period that ultimately takes an extensive amount of time and resources and yields few results However when implementing RPA, it's actually better to  "introduce the processes to production early in the delivery cycle" or, in more simple language, ‘testing in live'. The problem you have is that the phrase ‘testing in live' will make IT managers in most companies throw their hands up in horror.

Testing in live never used to be the case. Most companies would build a test environment and test every process before anything went anywhere near the live system. However, pulling that environment together can take weeks, or even months, to do.

But, in fact, the digital workers from your RPA solution are not changing anything in your system. What your robot is doing is reusing the assets that already exist in your system, and doing that in exactly the same way as your human workforce would.

So, why do you need a test environment? In reality, you don't. By testing in live, your company can drastically speed up the RPA implementation process and save both time and money. 

Embrace the Evolution of RPA

Think of your Digital Workforce as an ever-evolving solution that's constantly able to add new value and more ROI.

We are now in the era of connected-RPA, which extends beyond traditional limits by giving users a compelling all-in-one, complete automation platform. It's the unique connectivity capability of digital workers, coupled with the increasingly intelligent way that they operate, that can now be harnessed to integrate with any new or existing technology application. 

In order to remain competitive in today's society must embrace the continual evolution of RPA, businesses must adopt a delivery approach that optimizes the use of robots rather than falling back on the old IT department. Think about what you're introducing as a fully formed Digital Workforce - a team of robots who use your systems in the same way as your human workers, but with greater speed, efficiency, and accuracy.


About the Author


Jon has more than 20 years of experience leading global transformation initiatives in financial services that have delivered positives results in sustainable growth, quality, productivity, efficiency and client experience.

Jon is the former Managing Director of Performance Excellence at BNY Mellon where, he successfully launched and grew one of the worlds’ most recognized success stories in RPA and the use of other “smart technologies”. He has a passion for the use of intelligent process automation tools like robotics, OCR, ETL and Machine Learning. Prior to BNY Mellon, Jon spent more than 10 years working internationally—serving as the transformational leader for Auckland Savings Bank in Auckland, New Zealand; Sberbank of Russia in Moscow; Credit Suisse in Zurich and HSBC in London.

Jon holds a Bachelors degree in Psychology from Western Kentucky University and Masters degree in Psychology from University of Kentucky. He has completed various executive programs at Harvard, London Business School and Thunderbird School of Global Management.

Published Wednesday, August 21, 2019 7:18 AM by David Marshall
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