Take low-code solutions, for example. This technology acts as a hyperautomation enabler by complementing task-automation technologies like RPA. The right low-code platform ensures that the front-end of the customer journey is optimized and easy to navigate so that, down the line, the RPA solution can leverage structured data to scale task automation.

Low-code platforms also augment legacy technology, allowing organizations to align their technology and processes with their hyperautomation goals, without the need to rip and replace their current systems.

The term “intelligent automation” or alternatively “intelligent process automation” (IPA) is often used interchangeably to describe end-to-end automation. Like hyperautomation, IPA refers to a collection of technologies designed to automate business processes using a combination of AI, RPA, and other tools. However you define it, one thing’s for certain:

Adopting an automation-first mindset can drastically drive down costs, improve customer and employee experience, and give organizations a competitive edge.