As more organizations automate their key processes, they are building businesses where employees are no longer spending their valuable time on repetitive and time-consuming tasks. They are doing this to streamline processes, reduce costs, and remain competitive.
So what's the secret to their success?
It all starts with robotic process automation (RPA). For the uninitiated, RPA replicates rule-based tasks such as data migration and validation, generating mass emails, creating and processing invoices, and more. It drives value through its speed and elimination of errors, with a relatively low investment. Think about RPA as a virtual workforce of robots that allow humans to focus on more complex tasks that require strategic thinking.
Today, the window of opportunity is widening beyond RPA. By adding AI, machine learning, natural language processing, and analytics into the mix, RPA is evolving into intelligent automation, which delivers exponential value by learning and adapting as it automates. But to make the leap to intelligent automation, you need to start with a solid RPA strategy.