Robotic Process Automation (RPA) is revolutionizing work-related processes and what the enterprise workforce dedicates their time to. Enterprises everywhere have a considerable pool of talent performing mechanical, repetitive tasks on a daily basis.

Robotic Process Automation is the change agent technology that automates these mundane, mechanical tasks with the added benefit of executing common processes with higher quality, more reliability, and yielding better outcomes. These welcomed consequences of automating business processes with robots are simple byproducts of eliminating errors introduced by human interaction and management, making common processes more efficient and productive.

Arguably the greatest benefit of adopting RPA technology, is that it allows your talent to devote its attention and skills to higher-value tasks, removing the burden of performing mechanical operations that while necessary, contribute little to the growth and prosperity of the enterprise.

With stark and undeniable benefits, it’s no surprise that – according to Gartner – RPA is the fastest growing enterprise software category. Yet even with RPA’s aggressive market growth, the overwhelming majority of enterprises have yet to implement Robotic Process Automation, and those that have, have not succeeded in scaling the RPA technology they have adopted across the enterprise. According to a report published by HFS Research in conjunction with KPMG, the surprising reality is that RPA is the least scaled Intelligence Automation (IA) technology across the enterprise.

The Challenges to Scaling RPA Across the Enterprise

There are several factors that have hindered enterprises looking to scale the RPA solutions they’ve adopted. HFS Research and KPMG make the case that a lack of vision or the non-existence of an enterprise-wide strategy is a formidable obstacle that impedes the ability to scale.

In the same report, the absence of the necessary talent to execute the automation built in the software RPA vendors provide serves as another barrier to scale Robotic Process Automation. While a lot of the RPA service providers position themselves as plug and play tools the average business persona can easily handle, the reality is that most of the time, they require experienced developers to support and execute process automation.

One of the more tangible blockers afflicting enterprises trying to scale RPA is that they haven’t invested any time in optimizing the processes they want to automate. A common assumption is that integrating Robotic Process Automation technology through an RPA vendor is enough to quickly realize the ROI or time-to-benefit on all the processes that have been automated. 

Unfortunately, enterprises quickly realize that for long-term and continuous reward, a critical analysis and understanding of what they want to achieve is vital.

Three Secrets to Successfully Scaling RPA Across the Enterprise

1. Optimize Your Processes Before You Automate Them

In a lot of cases, when enterprises take the plunge to automate their processes with robots, one form of waste is replaced with another. With the aggressive push to adopt RPA technology, enterprises are quick to automate their existing processes without taking the time to analyze them or identify where there might be room for improvement.

Investing in RPA technology isn’t just an opportunity to automate your mechanical processes and allow your talent to drive higher value tasks, it’s also a key opportunity to drive process improvement that will in turn allow the enterprise to scale RPA.

Failing to see the inefficiencies or waste in a process before automating it with RPA is an invitation for failure in and of itself.

2. Consider Process Mining Tools to Improve Your Processes

Process mining – essentially data mining that identifies patterns in event log data – can considerably aide enterprises in the effort to optimize their processes before automation.

Enterprises have a myriad of business processes that can deceptively seem uniform but at a second glance, can vary considerably, complicating the effort to automate them with a robot.

Consider something as seemingly simple as processing order forms to pay your suppliers and vendors—a task normally undertaken by your accounts payable team. At a multinational corporation, trying to improve and automate order form processing can quickly become mired in a tangle of multiple conditions: How are different currencies treated? Sales tax across global providers? What’s the typical process that someone from accounts payable follows? What steps need to be manual? Where are errors normally made?

Mapping out the steps in a process to truly identify and visualize it enhances automation and facilitates its ability to scale across the enterprise. And it’s once you have this map—a visual of your process, that you can optimize it with Blueprint.

3. Drive RPA at Scale With Blueprint’s Automation Suite

Blueprint’s Enterprise Automation Suite allows large enterprises to effectively scale RPA to realize ROI and achieve your organization’s overall business objectives.

By integrating with the foremost RPA builders, Blueprint feeds your business process models into the software provided by your RPA vendors to execute automation. Blueprint’s Business Process Modeler is the driver that empowers citizen developers to perform automation development.

Using the Business Process Modeler, you can define and optimize your multi-layered business process models and effortlessly establish an intricate trace strategy to account for critical enterprise concerns like compliance for organizations in heavily regulated industries.

Auto-generated test cases from the business process models optimized in the Process Modeler can test the robots being built while Blueprint’s Impact Analysis feature can be used to view and analyze the downstream impact of Robotic Process Automation.

Product Overview - Blueprint's Enterprise Automation Suite: 


To learn more about how Blueprint can help your enterprise scale RPA by integrating with your process mining and RPA vendor, schedule a demo.


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