Cognitive RPA for a Digital Workforce

Robotic Process Automation (RPA) is changing the landscape of organizations’ front- and back-office business functions and is altering the ways corporations move towards building a digital workforce. Current front-end software now enable software robots (Bots) to perform human actions and automate repetitive tasks across multiple business applications. All back-office functions are also facing a disruptive revolution at the same time.

To stay in the race, businesses need to adopt RPA along with cognitive technologies, identify the areas where employees are doing repetitive, high volume, rule-based tasks, define the workflow, develop the bots and execute the deployment.

So, what’s your digital workforce up to?

A digital workforce is a team of software robots that supports and augments the work that humans are doing. The robots can be deployed quickly from an enterprise-grade platform that includes RPA, Cognitive technologies, and Analytics, to take on any repeated process that a human would follow.

A typical use case for humans and software bots working side-by-side is in a call center where a software robot can quickly pull up the requisite customer and order information from multiple systems and update records in real time, based on customers’ queries.

A digital workforce can be large or small. Ideally, it’s capable of scaling up or down on demand depending on business needs.

Where does Cognitive RPA fit in this picture?

Leading RPA tool providers like BluePrism, UiPath, Automation Anywhere, Kofax, etc. are taking measures by releasing various features to make automation process seamless. Enterprises are moving from experimentation stage to early adoption with a focus on adding cognitive components to RPA solutions. With advancements in cognitive technologies, RPA would be able to handle end-to-end task automation with real-time exceptions.

Cognitive technologies are expected to bring smart capabilities to existing RPA offerings to include activities that require intelligence. Leveraging advanced technologies such as NLP, ML, text analytics, this would allow automation of processes that involve non-standardized, semi-structured and unstructured data such as emails, images, etc., as an input. Thus, the robots can extract and interpret information from a variety of mediums, to identify patterns and make decisions or predictions.

Combining robots with cognitive technologies would allow robots to work within more complex scenarios that would typically require human judgment or decision making.

In addition to mimicking human behavior that requires decision-making cognitive technologies would enable enterprises in

  • Fraud detection
  • Market prediction
  • Sentiment analysis
  • Data classification and validation
  • Customer segmentation
  • Document verification
  • Policy renewal
  • Insurance premium calculation etc.

Cognitive RPA for a digital workforce will ensure a smooth-running enterprise and do things that they are designed to do. At the end of the day, one area where humans excel is the ability for creative thinking, collaboration and innovation.

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