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More automation means less people in the workplace

27 Oct 2015  | Thomas Claburn

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It is likely that people will soon be replaced by robots in offices, factories, etc. To be precise, their jobs will be taken over by a software called robotic process automation (RPA).

In a new research paper, "The IT Function and Robotic Process Automation," the Outsourcing Unit at London School of Economics finds that RPA can provide a variety of business benefits, and it anticipates accelerated deployment in the years to come. The paper followed three case studies of customers of RPA-provider Blue Prism. In addition, Blue Prism partly funded the paper.

RPA is similar to business process management, but it doesn't require developers to create code. It's software.

As implemented by firms such as Automation Anywhere or Blue Prism, RPA allows people to generate code through a menu-driven drag-and-drop visual interface. That code can then handle structured, repetitive tasks like onboarding employees at a large company. Think of it as software that can be trained to operate the business applications a human would use for routine clerical or administrative work.


(Source: Blue Prism)

As the paper explains:

RPA software is ideally suited to replace humans for so called "swivel chair" processes; processes where humans take inputs from one set of systems (for example, email), process those inputs using rules, and then enter the outputs into systems of record (for example, Enterprise Resource Planning (ERP) systems).

Implemented correctly, RPA can make routine human resources work, for example, more efficient and affordable by taking people out of the loop. The report concedes this could reduce the need for human resources employees.

"There would be fewer HR specialists needed overall if the volume of work was constant, but those HR specialists remaining should have more challenging work," the paper says.

This acknowledgement underscores the angst surrounding advancements in automation and artificial intelligence: Technology may allow people to focus on higher-value, less easily automated work, but it's not clear whether there will be enough of these improved jobs to go around. Nor is it obvious that what cannot be automated today will remain the province of people tomorrow.

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