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Robotics Quotient (RQ): What It Is and How It Shows if You’re Ready to Implement RPA

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Business processes are going digital – this has become the commonsense stance nowadays, supported by a large number of reports and surveys across the industry spectrum. Robotic process automation is one one of the main components of this digitisation trend. But successful RPA implementation requires specific competencies, which are operationalised in terms of the robotics quotient (RQ).

The RQ is a helpful measure to evaluate your company’s readiness for robotic process automation, telling you which areas (e.g., technology, processes, skills, practices, finance) you should focus and improve in order to make the most out of digital transformation.

The phrase robotics quotient has been coined by the analyst J. P. Gownder from Forrester after nine months of intensive research, as a quantitative method meant to provide a fine-grained analysis of how competent your business will be at implementing AI and automation technologies. From the RQ score you can also infer the improvements that are required for successful deployment of digital technologies.

The RQ score depends on 39 parameters grouped under four categories: people, leadership, organizational structure and trust (the PLOT Framework), which are assumed to underpin best AI practices.

People, leadership, and organizational structure are all contrasted with the category trust – the key dimension to assess the likelihood that RPA implementation is profitable for your business. Trust refers to people’s level of confidence in a fruitful human – machine collaboration; it has been found to be highly correlated with the transparency and the predictability of the digitisation journey.

Before you implement RPA, calculate your robotics quotient

RQ provides a way to assess organizations’ openness to the cooperation between humans and automated entities, such as software robots, physical robots, etc. ‘Openness’ is defined in terms of abilities to learn from these entities, trust them, and, ultimately, achieve superior business outcomes by working together. This is why trust is the crucial ingredient of the PLOT Framework.

This framework allows businesses’ self-assessment along 39 different dimensions, in order to identify the areas that ought to be improved and the organizational skills that must be either acquired or further developed. The analysis within the PLOT Framework yields two RQ scores, one for the current state, and another one for a desired state which can be plausibly attained in 6 to 12 months.   

In what follows, we’ll look at each of the four categories of PLOT.

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The robotics quotient provides objective answers to questions about the ability of your organisation to handle the challenges of automation and AI, and about your employees’ readiness to learn, adapt and work alongside digital entities.

It is a measure that helps you decide whether non-human coworkers can be fruitfully co-opted into attaining your financial and managerial objectives. It also shows what you should be doing in order to maximise the likelihood of people and robots successfully working together.

Now that you are aware of the factors that modulate your company’s preparedness for leveraging RPA, where do you think you’re standing? Even more importantly, what could you do to increase the RQ score and thus come one step closer to the starting line of a lucrative automation journey? We are here to help you find the answers and thus implement RPA proficiently. Contact us and we will work it out together.

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