HyperAutomation is an advanced approach to automation that involves the integration of multiple automation technologies, including
Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), and other advanced technologies. HyperAutomation goes beyond traditional automation approaches, which typically involve automating a single process or task using a single automation technology.
With HyperAutomation, businesses can automate entire end-to-end processes, from start to finish, using multiple automation technologies that work together seamlessly. For example, a HyperAutomation solution might use RPA to automate repetitive tasks, AI to perform complex decision-making tasks, and ML to learn from data and improve performance over time.
HyperAutomation differs from traditional automation approaches in several ways :Scalability : HyperAutomation enables businesses to scale automation across the entire organization, automating complex processes that were previously too difficult or costly to automate using traditional automation methods.
Flexibility : HyperAutomation is highly flexible, enabling businesses to easily adapt to changing business needs and requirements.
Intelligence : HyperAutomation solutions are highly intelligent, using AI and ML to learn from data, make decisions, and improve performance over time.
Integration : HyperAutomation solutions integrate multiple automation technologies, enabling businesses to automate entire end-to-end processes, rather than just individual tasks.
Cost-effectiveness : HyperAutomation can be more cost-effective than traditional automation approaches, as it can automate complex processes without the need for extensive custom development or IT resources.