The robots are waiting

Are you ready to reap the benefits?

The value of work done by robots is proven, and confidence in robotics has grown significantly over the last year. The benefits of automation are now better understood with demonstrable and measurable results, and the value of automation lies in its ability to achieve benefits from augmenting as well as replacing human effort. However, despite all of this organisations are still struggling to scale robotic process automation, rising by only 1% to 4% in the last 12 months.

Building on our findings from previous years, the fourth edition of Deloitte’s Global Robotics Report, will explore why we believe organisations are still not managing to scale, and provide insights on how we believe organisations can overcome the common barriers to scale.

Methodology Definitions

Key Insights

The value of work done

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Still struggling to scale

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Barriers to scale

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How to start scaling

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In June 2018, Deloitte invited organisations globally to take part in an online survey on their use of RPA. We received responses from 530 individuals across many industries with combined revenues of $3.5 trillion. This information has been analysed in aggregate and forms the basis of this publication.

In this publication, references to Deloitte are references to Deloitte LLP, the UK affiliate of Deloitte NWE LLP, a member firm of Deloitte Touche Tohmatsu Limited.

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Robotic Process Automation (RPA) - often referred to as ‘robotics’ or ‘robots’, is defined as the automation of rules-based processes with software that utilises the user interface and which can run on any software, including web-based applications, ERP systems and mainframe systems.

Cognitive automation - is the use of cognitive or artificial intelligence technologies such as natural-language processing and machine learning to enable more complex automation, typically based on the laws of probabilities.

Digital workforce - is used to describe the ‘robots’ – the automated solutions that are delivering processes within an organisation. In most cases, the digital workforce will be either working in the background on virtual machines or accessed by consumers and co-workers through a command-based interface.