With focus on achieving enhanced operational efficiency along with minimizing costs, organizations are implementing hyperautomation capabilities into their existing business models. Intelligent automation enables businesses to meet new challenges, gain a competitive edge, and satisfy customers.
According to a report by Acumenresearchandconsulting, the global hyperautomation market is expected to reach USD 32,632 million by 2030 with a CAGR of 18.7%.
Hyperautomation encompasses Intelligent automation, integration, transformation, and optimization to provide end-to-end process automation without human intervention. In hyperautomation, multiple technologies are combined to automate business processes, including AI, ML, NLP, RPA, BPM, iBPMS, low-code platform tools, iPaaS, task and automation tools, and much more.
Since digital transformation is resource-intensive for any business or organization, a roadmap should be created before adopting hyperautomation capabilities into a business’ existing systems. It would help a company to track and measure progress for optimal results..
Roap Map for Hyperautomation
1. Identify the Key Business Outcomes from Hyperautomation
It is important for businesses not to embrace technology to follow trends, but instead to have a clear and specific vision of what they want from hyperautomation. Be it to automate error-prone processes, improve the overall operational efficiency or boost revenue generation capabilities, having a clear objective sets the direction for having hyperautomation capabilities on board.
Defining the key performance indicators enables organizations to assess the profitability of the solution in the long run. It’s also helpful to have an enterprise-wide perspective on automating operations, as siloed automation initiatives often fall short of expectations. So, businesses can digitize their operations in a smart way if they set goals, find key performance indicators, and keep track of processes.
2. Discovering Scalability Opportunities via Hyperautomation
Hyperautomation is a holistic approach to digitally transforming business processes across departments, processes, and people. Therefore, when processes are optimized with orchestrated workflows supporting end-to-end automation, it is crucial to identify every possibility to grow. Hyperautomation helps businesses take advantage of areas where they can grow in the future, such as marketing, productivity, cost-effectiveness, and many others.
3. Choose a Bunch of Hyperautomation Technologies according to Business Needs
Investing in hyperautomation technologies based on market buzzwords isn’t the right way to approach company processes. Businesses should first define “why and which business operations” to automate, and then choose the optimal combination of technology to utilize intelligent automation capabilities for growth, allowing humans to focus on analytical and growth-oriented jobs.
For example, if a business has voluminous data to process on a daily basis, RPA and AI can automate data processing and send it to the workforce for analytics and decision-making. It helps to free humans from tedious and redundant tasks involved in data collection, classification, system entry, and report processing.
4. Create a Digital Umbrella for Chosen ToolBox
An organization’s digital transformation relies on a chosen digital toolbox to assess, create, implement solutions, and evaluate results to verify if hyperautomation is meeting business goals. Thus, a digital umbrella for your toolset provides visibility, control, and accountability for processes across the organization. RPA, AI, ML, NLP, iBPM, iPaaS, and low-code platform technologies can be used to initiate automation, and this toolbox can help to evaluate success in meeting business goals.
