Hyperautomation combines artificial intelligence (AI), machine learning (ML), and robotic process automation to automate routine business tasks. It allows computer systems to perform simple, repetitive tasks that would otherwise take up a lot of time, freeing up human employees to give them more time for higher-value work.
Conventional automation tools perform relatively simple tasks, strictly following the rules and structures programmed for them. If any of these automated tasks need to change, someone has to program those changes into the system. Hyperautomation software tools combine these simple automation tasks with artificial intelligence and machine learning, helping systems spot trends and adjust their processes without human intervention. For example, ordinary automation could send marketing emails on a schedule to a subset of a customer list based on their past purchases. Adding AI and ML to that automation would allow the system to learn, identifying new purchasing trends and adapting the list of recipients and the products featured without further human intervention.
Hyperautomation requires careful planning. Businesses looking to use hyperautomation need to make sure that the new automation will be useful, that they'll fit into established workflows, and that the tools used work together smoothly. By identifying tasks well suited to automation, businesses and workers can save time and focus on more important work.