Cognitive automation is based on software bringing intelligence to information-intensive processes. It is commonly associated with Robotic Process Automation (RPA) as the conjunction between Artificial Intelligence (AI) and Cognitive Computing. By leveraging Artificial Intelligence technologies, cognitive automation extends and improves the range of actions that are typically correlated with RPA, providing advantages for cost savings and customer satisfaction as well as more benefits in terms of accuracy in complex business processes that involve the use of unstructured information.
What is cognitive automation and what it is not?
Cognitive automation is not machine learning. Cognitive automation leverages different algorithms and technology approaches such as natural language processing, text analytics and data mining, semantic technology and machine learning.
What does cognitive automation mean for the enterprise?
The integration of different AI features with RPA helps organizations extend automation to more processes, making the most of not only structured data, but especially the growing volumes of unstructured information. Unstructured information such as customer interactions can be easily analyzed, processed and structured into data useful for the next steps of the process, such as predictive analytics, for example.
Cognitive automation creates new efficiencies and improves the quality of business at the same time. As organizations in every industry are putting cognitive automation at the core of their digital and business transformation strategies, there has been an increasing interest in even more advanced capabilities and smart tools.
Enterprise challenges and cognitive automation benefits
Today’s enterprise faces a number of challenges: increasing efficiency, enhancing decision making, staying competitive, ensuring customer loyalty, compliance are just some of the hurdles that businesses are facing.
Cognitive automation has proven to be effective in addressing those key challenges by supporting companies in optimizing their day-to-day activities as well as their entire business.
Based on our experience, we believe that companies can expect more than 50% in savings for FTE activities and relevant cost reductions (from 30% to 60% for email management, quote processing, etc.)
Advantages resulting from cognitive automation also include improvement in compliance and overall business quality, greater operational scalability, reduced turnaround, and lower error rates. All of these have a positive impact on business flexibility and employee efficiency.
Visit our cognitive automation section to learn what some business leaders are achieving with expert.ai products
Originally published November 2017, updated February 2020