With RPA, businesses can automate mundane rules-based business processes, enabling business users to devote more time to serving customers or other higher-value work. Others see RPA as a stopgap en route to intelligent automation (IA) via machine learning (ML) and artificial intelligence (AI) tools, which can be trained to make judgments about future outputs.
Bots are typically low-cost and easy to implement, requiring no custom software or deep systems integration – Robotic Process Automation (RPA)
New techniques are being identified to leverage the power of RPA to realize more than a dozen benefits, such as reducing processing errors, freeing up teams to perform more knowledge-based work and accelerating the divestiture and integration life cycle.
The most recent innovation is robotic process automation (RPA). Many companies have started to use RPA for their data migrations or have begun to pilot its use within their enterprise as part of their innovation initiatives. This application of RPA is just scratching the surface of the potential impact of this technology in business transactions.