Even though RPA (robotic process automation) is not a new concept, in the past decade it has managed to draw quite a lot of attention. Numerous organizations consider RPA to be business value enablers because it looks at “robots” from a different perspective. Software-based robots are commonly seen today in call centre operations, employee onboarding, scheduling systems, data migration, and numerous other sectors and niches. Their unique capabilities is that they can execute processes fast, accurately, and with extreme customer satisfaction.
An overview of RPA implementation
Following an interview by CGI Client Global in 2020 on 1,500 executives, automation ranked among their 3rd most used digital initiative. Today, RPA is considered an enabler of digital transformation, efficiency, and resilience. In the context of the global pandemic, the demand for robotic process automation has thrived in hospitals seeking to improve the spread of the virus.
At an organizational level, one of the core benefits of RPA is increased flexibility when trying to scale a virtual workforce. Increasingly more employees seek to free themselves from routine, unrewarding tasks. With RPA, they can focus more on strategic activities that demand complex decision-making tasks and human judgement. Furthermore, processes can be automated faster and less intrusive when little to no code know-how is involved.
Develop a POC (proof of concept) before getting started
Providers of intelligent automation technology are on a growth spiral. And that’s because they offer fast opportunities for quick gains. Prior to kickstarting your automation journey, the key is to look for RPA POC (proof of concept). Business leaders should ask themselves what process creates disruption at the organizational level, and how RPA can help automate it. It’s equally important to consider a POV (proof of value) approach for your journey.
What’s the link between RPA, AI, hyper-automation, and intelligent automation? It pays to do some research before getting started as process automation, in general, can have numerous connotations. It’s all about acknowledging a need that is directly connected to the people inside your company and the way work is done.
Settle on common goals & pilot project
To get started on the right foot, go with an integrated strategy based on common goals. Acknowledge that the need to automate one or more processes may arise from silos. Inevitably, this means that scaling can become challenging. When choosing a pilot project, make sure it’s the right one. It has to be compelling to be accepted by both company employees and management.
Scaling an RPA strategy successfully demands clear requirements from the very beginning. The transition from pilot project to MVP or “RPA Factory” involves early planning. All initiatives should be optimized, assessed, and reassessed beforehand.
Getting started – begin your intelligent automation journey
Organize a workshop involving all stakeholders – from basic employees all the way to upper management. The main focus should be to stay organized and come up with a detailed plan for the foundation, mission, and vision of the whole RPA journey. Include design-thinking sessions focusing on a preliminary analysis of technology development and industry trends, potential pilot projects, and definition of actionable steps to decide on the final concept and approach.
To help streamline the journey, it is recommended to build an RPA expert team, also known as a Center of Excellence (CoE). Following this step, move on to evaluating the challenging aspects of processes that need automation. In some cases, it is indicated to work with a vendor or onboard a partner to help with implementation.
For enterprises with little RPA experience but a dire need to streamline processes, working with a professional in the industry helps provide guidance from the start, from developing the infrastructure all the way to bot development, ongoing support and further maintenance.
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