In the context of the 4.0 revolution taking place on a global scale, RPA is one of the increasingly popular technologies which is applied by many businesses. Many consulting firms agree that the RPA scaling process within an enterprise is not an easy game. Gartner revealed that, even with undeniable benefits, RPA is not easy to be successful in scaling. HFS Research, in a recent report, also stated that RPA is the least scaled Intelligent Automation technology across the enterprise.
What is RPA and what are the desirable effects?
RPA (abbreviated from Robotic Process Automation) is a concept referring to a robot or computer software, developed with the aim of replacing white-collar workers automatically performing paperwork. RPA activities include data collection, simulation, integration of human actions interacting with digital systems, mainly work of fixed logic.
RPA is favored by many businesses with desirable effects such as optimizing operations, improving customer experience, easy management, rapid development, and lower costs compared to real employees. Especially in the post-pandemic context, the need for digital transformation to optimize costs is increasing.
Gartner, the world’s leading research and advisory company, puts an ideal RPA profit of $1.3 billion for the year, while Forrester predicts that this figure could be $1.3 billion up to $2.9 billion in 2021.
However, Everest Group also points out the challenges that RPA may face, such as lack of effective strategy, limited investment capital, difficulty in finding experienced RPA design resources, how to manage organizational change and issues related to information technology security, etc.
Experiences to scale RPA effectively
Obviously, RPA is a new trend in the current specific context when there is a research that shows that nearly 50% of businesses aim to apply RPA in the production process to minimize the challenges. So in fact, how should businesses scale RPA properly and effectively?
Have a clear strategy and roadmap
It is easy to see, if the application of RPA is to be effective, businesses must define specific business goals and objectives, and measure the timelines that can be achieved.
In addition, the enterprise itself must understand how to operate RPA in the company process, and must find a roadmap to apply RPA in accordance with practice as well as make necessary adjustments.
Ready to invest for RPA
Most of the RPA programs that the C-Suite team cares about and commits to run always opens the chance to greater success. This will help boost funding and focus from early testing to large-scale development. At the same time, it provides favorable conditions for RPA to maximize its capabilities.
To make this happen, senior leaders need to have better insights and understanding of RPA through reference documents and how to apply them in each specific case, thereby drawing conclusions necessary to apply in business practice accurately and specially.
Connect departments to find the right RPA model
Obviously, if you want to find the right RPA model, businesses need to gather departments with different functions, such as Sales, Information Technology, Risk Management, Production and Human Resources to manage, make adjustments, commit the necessary resources, and jointly draft the appropriate model.
Enterprises need to connect departments to jointly plan an appropriate RPA Model.
Enhance self-awareness and security
Both parties (enterprise and company providing RPA) must participate to create access to do the system, so self-discipline and security must be a top priority to ensure sensitive information and data anr not exposed.
Build a solid process foundation
Most successful RPA application businesses have a solid foundation with strong operational capabilities. Therefore, enterprise need to have a management process and set up strict management and control measure for the entire process, such as setting up related Information Technology infrastructures, dividing roles between departments function of IT Department and Sales Department, reduce possible risks, thereby making the RPA application process more consistent, stable and reliable.
Using complementary technologies effectively
Process mining or discovery technology can help businesses measure the effectiveness of RPA, thereby maintaining this automation system. Additionally, businesses can leverage AI to their advantage to improve core RPA functions.
Seeking help with RPA skills
Many businesses tend to invest in training partners to approach RPA more flexibly, thereby extracting useful knowledge and organizing their own RPA-specialized training groups.
Democratization of RPA
In simpler words, businesses can train internal staff to be able to deploy RPA bots to automate basic daily tasks, thereby asserting their autonomy.
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