We have seen a rush to automation for time, money, and grief savings. Robotic Process Automation (RPA) has been on the cutting edge of this wave of automation benefits.
RPA is changing its focus from just automating assisting or eliminating mundane work to seeding automated worker bots into processes and systems.
The level of intelligence of these bots or agents is going up, thanks to AI.
Today RPA is good at mundane tasks and reducing nasty work for people. Typical tasks would include auto-keying, screen/form integration, application or data integration, automated decisions, and rudimentary task management. It can reach to simple task sequencing and simple resource orchestration.
As AI advances to include right-brained activities such as judgment, particularly in context, RPA can make informed decisions based on leveraging the combination of AI & analytics.
Deductions can be made after integrated information sources and knowledge worlds are run through advanced algorithms to take smarter action that considers multiple contexts.
As AI can learn to think, learn, and project by employing predictive analytics, RPA should be able to intercept exceptions and match these patterns or events to expected or unexpected, opportunities, and threats.
This puts organizations in a position to think through and respond to emergent behaviors and markets.
As the combination of AI & RPA progress over time, the agents/bots will play a bigger role in making more automation possible to the point of completing more complicated work and shifting more satisfying work to human partners.
At a minimum, these automation agents will assist employees and customers better than before. This is just the beginning.
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