To effectively scale their HyperAutomation capabilities, businesses should consider the following:
Develop a roadmap : Before scaling their HyperAutomation capabilities, businesses should develop a roadmap that outlines their automation goals, timelines, and resource requirements. This roadmap should also include a clear understanding of the business processes that are most suitable for automation, as well as the potential benefits and risks associated with automation.
Establish governance and control : As businesses scale their HyperAutomation capabilities, it's important to establish governance and control processes to ensure that automation initiatives are aligned with business goals and comply with regulatory requirements. This may involve creating a dedicated automation center of excellence (CoE) or appointing automation leads to oversee automation efforts across the organization.
Focus on employee training and upskilling : As automation scales, employees may need to learn new skills or adapt to new ways of working. Businesses should prioritize employee training and upskilling initiatives to help employees stay engaged, motivated, and productive in a rapidly changing work environment.
Leverage low-code and no-code platforms : To accelerate the pace of automation and enable citizen developers, businesses can leverage low-code and no-code platforms that allow non-technical users to build and deploy automation workflows.
Continuously measure and optimize : To ensure that automation initiatives are delivering the expected benefits and ROI, businesses should continuously measure and optimize their automation workflows. This may involve tracking key performance indicators (KPIs), gathering feedback from employees and customers, and making iterative improvements to automation workflows over time.
