Introduction to Automation

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Automation is a broad concept that can encompass both physical and cognitive activities across a large number of different contexts. Catalytic is focused on people-friendly process automation. That means that we are focused on the automation of repetitive processes, primarily within the workplace, in a way that helps people, Bots, and AI work together. Check out for more information.

A recent McKinsey study provides a number of remarkable findings that should not be surprising to anyone in the workplace:

  • “45 percent of work activities could be automated using already demonstrated technology.”

  • “Fewer than 5 percent of occupations can be entirely automated while about 60 percent of occupations could have 30 percent or more of their constituent activities automated.”

  • “Just 4 percent of the work activities across the US economy require creativity at a median human level of performance. Similarly, only 29 percent of work activities require a median human level of performance in sensing emotion.”

These facts point to a modern workplace that has become the digital equivalent of the  pre-industrial factory – where workers spend entirely too much time doing mundane, repetitive tasks. Catalytic has been purpose-built to address this problem. We focus on automating mundane, repetitive tasks so people can focus on higher value activities.

The primary benefits of using Catalytic for process automation include:

  • Freeing up your team to do more meaningful work.

  • Increase your speed of doing business.

  • Improve the quality and reliability of your outcomes.

Process automation in the workplace is not a new concept; however, in the past few years, new technologies have powered a new wave of products. These products provide different capabilities to the modern automation professional. Different types of automation today include:

  • Robotic Process Automation (RPA)

  • Natural Language Processing and Natural Language Generation (NLP/NLG)

  • Cognitive Agents

  • Smart Workflows

  • Machine Learning

Additionally, automation can be achieved via at least two other common approaches:

  • Point systems often solve automation focused on workflows within their specific domain.

  • More traditional IT technologies can be leveraged to create custom automation solutions.

Learn how to find automation opportunities to help your team.