What is hyperautomation? Definition and examples

Hyperautomation leverages advanced technologies such as AI, machine learning, and low-code or no-code development tools to automate and optimize entire business processes, transcending basic task automation by connecting multiple systems and processes to streamline workflows, enhance efficiency, and facilitate smarter decision-making. It involves several components, including business process management for workflow optimization, agentic AI for task initiation and decision-making, machine learning for continuous improvement, and process mining for identifying inefficiencies. Tools like Zapier enable the orchestration of these technologies, fostering end-to-end automation that improves accuracy and allows teams to focus on high-impact work. Hyperautomation is applied across various business functions—such as finance, supply chain, HR, IT, and customer service—transforming repetitive tasks into automated workflows, which reduces operational costs, scales growth, and maintains compliance. By integrating existing tools with automation platforms, businesses can achieve seamless, intelligent workflows, freeing up resources to innovate and enhance customer experiences.