Most companies are enjoying the return on investments (ROI) with the Robotic Process Automation Implementations that have been planned well and executed flawlessly. Robots have been handling voluminous tasks with greater accuracy, better process speed, and improved productivity.
Organizations have always started automating back-office processes to bring process efficiencies and to streamline the high-volume tasks before they focus on front-office operations.
Then comes the Take-Off of Intelligent Process Automation – RPA combining with Cognitive Technologies to evolve into Intelligent Automation.
Robotic Process Automation is programmed robots to integrate multiple systems to automate the rule-based, repetitive tasks to reduce the processing time and most importantly, to free up the employee’s time from repetitive works.
With Intelligent Process Automation the humans are relieved not just from repetitive tasks but also focus on more strategic and analytical tasks. A combination of RPA and AI has the potential to transform the business structure of an organization’s operations.
Artificial Intelligence through technologies such as Natural Language Processing, Speech Recognition, Machine Learning. etc. can mimic human responses so that complex processes that involve unstructured data or data from different sources can still be brought into the scope of automation.
The Journey to Scale from RPA to IPA
Key considerations to start your IPA journey:
The Journey to Intelligent Automation is all about moving your processes, and the technologies to the next level of maturity. As we move to matured stages, RPA is integrated with AI to leverage its power of making Judgment based calls, and analyzing the structured and instructed data to drive business decisions.
Rule-Based (RPA) – Knowledge-Based (IPA)
Organizations are continuing to use Robotic Process Automation but are also moving beyond by ramping up plans to implement Intelligent Process Automation. The two barriers that restrict the adoption of IPA are IT Readiness and the ability to fragment the processes for better visibility and planning.
Most of the Automation initiatives in many organizations have moved from back-office to front-office operations to explore the full potential of RPA & AI in their business operations.