Intelligent Automation

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Although Robotic Process Automation (RPA) is an emerging technology, the benefits produced-have shown that it has the potential to take businesses to the next level of digital transformation. As companies embrace automation and increase its application within their systems, the next logical step is to move towards Intelligent Process Automation (IPA) or Cognitive Process Automation (CPA) to leverage the power of AI-based technologies such as Machine Learning, Natural Language Processing, and Cognitive Computing. When combined with these next-generation digital technologies, RPA evolves into Intelligent Automation, delivering additional value by learning and adapting to optimize its processes.


Natural Learning Process

NPL is the automatic computational processing of human languages in which the main goal is to read, decipher, understand, and practically make sense of human languages.

Machine Learning

Machine learning is a data analysis method based on the idea that systems first learn from data, identify the patterns, and make informed decisions with minimal or NO human intervention.

Data Mining

Data mining is a technique in which a broad range of technologies are used to automatically search for a large volume of data and find trends, anomalies, and patterns to predict outcomes, solve problems and mitigate risks.

Cognitive reasoning

It is the process of modeling the human’s ability to derive meaningful conclusions with incomplete and inconsistent knowledge or data available.

Voice recognition

It is a software program that can transform the human voice into text or voice to operate a device and perform commands without using keyboards.

Optical character recognition

Optical character recognition is a business solution extracted automatically from printed or written text, and then the text is converted into a machine-readable form.

Intelligent Automation offerings


  • Image processing
  • Speech recognition
  • Pattern recognition
  • NLP
  • Deep learning



  • Test suite
  • Risk analysis
  • Defect tracking
  • ERP business flow
  • Mainframe and legacy workflow



  • Finance
  • Supply chain
  • Manufacturing
  • Quality management
  • Load and performance testing



As businesses become acquainted with cognitive tools, they are experimenting to combine elements from AI with RPA to reap the benefits of Intelligent Automation. Here are some of the advantages of Intelligent Process Automation implementation:

  • Improved work efficiency and reduced operating costs by automating business processes
  • Customer-centric decision making based on relevant data sources resulting in better customer satisfaction
  • Boosts employee satisfaction and employee engagement as mundane tasks can be automated allowing employees to shift their focus to more qualitative tasks.


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