What are some key differences between RPA and HyperAutomation, and when should each be used?

Robotic Process Automation (RPA) and HyperAutomation are related concepts, but there are some key differences between them. RPA involves the use of software bots to automate repetitive, rule-based tasks, while HyperAutomation goes beyond that to incorporate a range of technologies, including artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), to automate more complex business processes and workflows.

While RPA can be a good fit for automating specific, well-defined processes, HyperAutomation is better suited for more complex processes that involve unstructured data or decision-making. HyperAutomation also enables businesses to automate end-to-end processes across departments and functions, rather than just specific tasks or functions.
When deciding whether to use RPA or HyperAutomation, businesses should consider the complexity of the processes they want to automate, as well as their long-term automation goals. RPA may be a good starting point for businesses looking to dip their toes into automation, while HyperAutomation may be a better fit for businesses with more ambitious automation goals or more complex processes to automate. Ultimately, the choice between RPA and HyperAutomation will depend on the specific needs and goals of each business.