Digital transformation is now fundamental, and relatively straightforward technologies such as Intelligent Automation and RPA.
The pandemic and subsequent events have created a climate that has been dubbed the ‘Great Resignation’, with employers scrambling to make the most of their existing talent. This trend has not only highlighted the importance of incorporating more remote work policies to keep employees working whilst widening the talent pool, but it has also demonstrated the need to utilize automation technologies to fill the gaps that reduced labor has left behind.
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Workflow Support Through Digital Transformation
More than ever, business’ technological processes have had to improve to keep up with the current times, in order to increase workflow efficiency and development – ultimately remaining competitive. Digital transformation is now fundamental, and relatively straightforward technologies such as Robotic Process Automation (RPA) – which organizations commonly use – have also had to evolve with the times.
RPA, being an important aspect of any enterprise seeking to advance, is an effective automation tool that companies can utilize to handle routine tasks. It makes use of existing systems and software to train digital robots rule-based processes that carry out highly repetitive and time-consuming tasks. This ultimately enhances work productivity, which has offered remote workforces deeper support, particularly during the pandemic, giving employees the chance to focus on more complex tasks and improving employee satisfaction.
With many businesses facing varying concerns about their economic growth over the past few years, regardless of their size, funding, or location, a major concern was the burnout that staff felt due to increased pressures while remote working. This inevitably added to a fatigued work-life balance causing standards to slip and increased gaps in performance, forcing digital delivery to rapidly evolve. To combat these challenges presented by the ‘Great Resignation’, global businesses turned to the offerings of intelligent solutions to assist where human efforts fell short.
Intelligent Automation Supporting Robotic Processes in the Workforce
Though RPA has been beneficial to aid the processes of establishments worldwide, one of the major challenges is that it isn’t intelligent enough to consistently choose the right data when processing tasks. This can be problematic as rather than supporting major businesses and staff members, it can add to the workload when corrections have to be made. If enough information is not available, the bots carrying out the required processes will struggle to complete tasks efficiently due to them simply mimicking recorded human actions rather than developing an understanding of the actions being carried out.
This is where the use of Intelligent Automation (IA) becomes necessary to reduce the gaps in workflow and improve productivity. Where RPA on its own may falter, IA can handle both structured and unstructured data, comprehending the context of the information presented and learning from past actions by combining the robotic processes with artificial intelligence (AI).
IA supports RPA processes continuously so that hybrid workers and global enterprises across various sectors can be confident in tasks being completed without robotic or human errors being made. IA can function effortlessly on an ongoing basis without the need for intervention, meaning RPA processes can become more independent.
This alone revolutionizes business and assists in propelling future successes. Implementing IA into standard robotic processes not only allows for employees to have effective support but also provides them with more time and energy to enhance their work output.
Business success with Intelligent Automation
Utilizing IA allows global businesses to reach greater success and improve upon the overall service provided to customers. Pre-pandemic, Harvard Business Review showcased that companies who combined RPA and IA found a 9% increase in revenue on average in comparison to the 3% with those who chose not to combine the two technologies. With heightened importance placed on technological reliance, 62% of businesses are now making use of AI to support their internal IT operations, while 54% are using it to improve efficiency and productivity.
IA also provides elevated interactions with AI-powered chatbots that work intelligently and understand natural language, giving them the leverage to comprehend and alleviate any user problems. It extracts value and meaning from unstructured data, keeping the processes more ‘human’ and altogether enhancing customer experiences. Businesses that implemented IA found on average a 21% reduction in costs when allowing it to assist the internal technology infrastructure and their cybersecurity, which is important for many enterprises as they expand their reach, presenting great opportunities for longevity.
The Future of Intelligent Automation
IA enables lasting capabilities within business systems, allowing for digital sustainability, and offering a library of solution patterns that can be enhanced and drawn from in the future. These systematic digital controls empower companies to own their processes and capture greater value – increasingly important while navigating uncertain business terrains.
Not only does generating the flexibility and adaptability of services become easier, but IA can forecast company necessities while assisting various industries like food and beverage, manufacturing, and many more. Employing automation that is intelligent will only continue to boost future output rates and provide predictive analysis that keeps industries continuously one step ahead. The future of IA as a fundamental technology in providing a competitive advantage has never been more certain.
