Digital Solutions Manager,
Omnix International
The Robotic Process Automation industry is evolving towards Intelligent Automation. The industry is witnessing innovative advancements involving Artificial Intelligence and Machine Learning that enables more human-like process automations. Vendors UiPath, Automation Anywhere, Blue Prism are incorporating intelligent Bot skills as advanced exception handling, allowing RPA bots to interact with unstructured data and perform complex tasks. It is important to keep in mind that enterprises must prioritise customer satisfaction as a key factor. From intelligent automation and cognitive capabilities to seamless integration and AI-driven insights, RPA is driving an era of efficiency. RPA is very promising as it empowers organisations to navigate the evolving landscape and gain an edge over their competitors.
Challenges
Poor data quality or unstructured data can impede performance, points out Bassel Wajih Khachfeh, Digital Solutions Manager, Omnix International.“Enterprises must invest in data cleansing and structuring before implementing RPA. By formulating a comprehensive strategy and prioritising data quality, enterprises can navigate these challenges and harness the full potential of RPA to drive process automation and efficiency,” adds Wajih Khachfeh.
Modern skills
Measuring the impact of RPA is essential with clear KPIs to assess the ROI, customer satisfaction, and track improvements in time and cost of the customer journey. Aligned with the overall business strategy, these KPIs enable enterprises to monitor the impacts of RPA.
“A strong leadership vision which aligns with the overall enterprise strategy is essential for driving the RPA initiative. Effective leadership drives awareness, fosters change, and ensures successful implementation of RPA. Enterprises must understand the ideal processes for automation. This includes clear comprehension of pain points, inefficiencies, and opportunities for improvement,” says Omnix’s Wajih Khachfeh.