United States: Robotics (RPA) As A Service

Last Updated: July 1 2019
Article by Ryan Zullo

Additional contribution from Caroline Keane

To help facilitate the need for dynamic growth, many organizations have adopted new business strategies, one of the most prominent among them being the move to "the cloud." Through greater efficiency gains and the realization of lower costs, cloud-based services are now starting to become the standard as small to midsized organizations around the globe are able to fully embrace them. Due to the prevalence of cloud-based services, it has become even more important for organizations to efficiently share and utilize their information, resources, and software to remain competitive. One solution that has enabled organizations to achieve high levels of efficiency is Robotics Process Automation (RPA). To fully appreciate how RPA can be leveraged in a cloud environment, one must first obtain an understanding of the cloud.

So What Is "The Cloud?"

In its simplest form, "the cloud" refers to cloud computing, which is the on-demand storing and retrieval of data and applications over a shared network instead of locally on an organization's own hardware. It is important to note that applications and data that are stored and run off someone else's local hardware are not considered as cloud computing. In order to qualify as being "in the cloud," applications and their comprising code, as well as their supporting infrastructure, must be delivered and run over the internet (Kohgadai). The applications and data, which are stored on the physical servers in a cloud network, are controlled and maintained by a cloud computing provider (What Is Cloud Computing & How Does It Work?). As users, an organization's personnel are able to access their applications and data stored on a cloud network. An example of this would be with Microsoft and its Office365 platform. Microsoft allows users to save their data on their servers as well as utilize versions of their applications (e.g. Excel, PowerPoint, Word, etc.) that are hosted on their end. Users, in turn, are able to access their data and Microsoft's applications at any time, as long as they have an internet connection.

To understand how the cloud works, it can be broken down into two parts, the front end and the back end. The front end of the cloud is the part that users see and can interact with. It includes an organization's computers and the applications required to access the cloud computing environment. Some cloud systems are accessible via dedicated applications while others are accessible through web browsers (e.g., Google Chrome, Mozilla Firefox). The back end of the cloud is comprised of the various applications, computers, data storage systems (e.g., hard drives), servers, and virtual machines that constitute and support the cloud computing service itself. The back end also provides the network, security, and traffic protocols that ensure connectivity with the front-end systems of which users interact (Strickland).

There are several advantages to the cloud computing model, the first being that it allows organizations to provide powerful and sophisticated applications to users simultaneously on a global scale. Without the need to install software locally, the cloud allows for the faster provisioning of applications and services, in many cases instantly, which allows for flexibility in when/where users can work. This is especially beneficial in a business continuity-type situation as having data stored in the cloud minimizes recovery point1 and time2 objectives, allowing for normal business processes to be resumed with internet connectivity. Coupled with a pay-per-usage model, the cloud also significantly lowers organizational costs as it eliminates, or at the very least reduces, the necessary investment on large-scale infrastructure and software to host and support local applications. This, in turn, allows for the reusability of IT resources and staff, enabling them to focus their attention on other facets of IT, such as research, development and critical support functions.

With some background of how the cloud computing model works, it is now important to gain an understanding of RPA to fully appreciate how it can be leveraged in a cloud environment to realize greater efficiencies.

Enter the Robots

RPA is the application of specialized computer programs (i.g., "robots") to automate and standardize repetitious, rule-based business processes in both the back and front offices. While RPA does not involve any physical robots, the software itself is able to emulate human actions. To do this, RPA relies upon the existing technologies of artificial intelligence (AI), machine learning, neural networks, screen scraping, and workflow automation, elevating and advancing the sum of their individual capabilities. Through the utilization of these technologies, RPA robots can interact with existing application user interfaces to capture data, interpret actions, trigger responses and communicate with other systems and/or robots. RPA is able to accomplish all this in a non-intrusive manner as the robots themselves are self-contained and leverage an organization's existing IT infrastructure without causing disruption to the underlying systems – which would be costly to replace (Robotic Process Automation (RPA)).

Unlike their flesh-and-blood counterparts, robots are able to work 24/7/365 without succumbing to boredom, fatigue, or time constraints. Once properly trained, robots can operate a process the same way without deviation, eliminating the risk of human error while achieving high rates of efficiency. This is especially advantageous for organizations that rely upon a large labor force to perform extensive amounts of transactional processes as these types of tasks are, more often than not, undertaken with little interest by workers and, thus, suboptimal vigilance is deployed when performing them (Learning). According to data collected by Smartsheet Inc., a collaboration work management software solution provider, "nearly 60% of workers estimate that they could save six or more hours a week with automation" by eliminating productivity-killing tasks resulting from manual data collection/entry/syncing, approvals processes, and information requests/status updates (Beloof). By implementing robots and saving employees from these insistent tasks, organizations can optimize their workforce, redirecting workers toward more critical functions that require decision-making skill sets. This leads to increased overall work product throughout and reductions in operating costs. In some cases, robots may even be capable of entirely replacing their human counterparts.

While it is easy to get excited about the potential benefits and value that robots can deliver, it is just as easy to overlook the necessity of building out a robust RPA implementation strategy. Many organizations believe that once robots are set up, they can continue to run autonomously without oversight; this is entirely untrue. Though they may leverage an organization's existing IT infrastructure, robots introduce an additional layer of complexity to the technology architecture that requires governance and oversight by IT (Sohoni). Robots also require constant management and maintenance over their lifetimes. The platforms that robots interact with are subject to change, and often the flexibility to deal with changes to the application user interfaces they interact with isn't configured accordingly; minor changes to an application form, for example, could throw off months of work (Boulton). Additionally, RPA can't fix poorly designed/broken processes. Rather, it speeds them up and shifts the resulting errors and bottlenecks further down the production line, which only creates deeper problems (Trefler). As a result, successfully building and deploying robots has proven to take a lot longer and be more complex and costly than many organizations ideally envisioned.

A New Paradigm

There is good news, however. Many of the aforementioned difficulties encountered by organizations when setting up robots can be mitigated in a cloud environment. RPA delivered on the cloud is an example of a SaaS-based (Software as a Service) solution3 as the infrastructure, maintenance, and support are being provided as services by the RPA vendor. What this means is that organizations are freed of the burdens of installation and ongoing administration of the robots (RPA). With minor configuration changes, organizations can directly deploy robots to perform specific tasks as the RPA vendor has already gone through the lengthy development process on their end. The cloud also enhances the capabilities of the robots as they are no longer limited by local resources in terms of computation power, memory and software. This allows them to grow and learn much faster than if they were installed locally. Furthermore, leveraging the vast infrastructure of a cloud-hosted environment allows robots to share data and perform powerful computations on a scale previously unprecedented, resulting in operations and tasks occurring within a fraction of the time required by that of locally installed robots.

Looking Toward the Future

The cloud has undoubtedly revolutionized the business landscape and changed it for the better. It has allowed organizations to gain access to more powerful applications and share information on a global scale. Looking for other means to gain further efficiencies, many organizations have begun to turn to RPA. RPA implementations, which are supported by extensive planning and robust design, have been proven to produce much stronger results. However, the continued maintenance and support of the robots created still falls upon the organizations themselves. Organizations that combine RPA with the cloud are not only able to free themselves of this burden, but also experience the benefits and realize value much faster than those that don't.

References

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

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