The Robotic Quotient (RQ) term coined by J P Gownder, a Forrester company analyst, is a standard of measurement which determines your company’s ability for people and robots to work together.
Just like the Intelligence Quotient (IQ) which measures an individual’s cognitive and intellectual abilities, RQ measures the organization’s or the employee’s readiness for a Robotic experience involving close collaboration and interaction.
How well is your organization equipped to learn, adapt and work alongside robots? What is the employee experience and how well do they cope with it? What measures and initiatives do your leadership role define? Can your organization handle the infrastructural, managerial and financial challenges and opportunities that automation, AI and Robots presents? These questions are what the Robotic Quotient provide the answers.
Understanding Robotic Quotient
RQ is a quantitative measurement that provides the business leaders the impetus needed for making investments in their robotic and human work culture. Higher the RQ score, better prepared is the company to face the AI and automation technology related challenges. They have in place the requisite processes, skills, practices, finance and technology to transform their businesses.
RQ is based on 39 parameters that support best practices of AI and is categorised under people, leadership, organizational structure and trust (PLOT Framework). While the parameters under the first three categories can be measured independently, all of them are measured against the final category – Trust. This varies based upon the technology used.
All these categories utilize technologies built upon Artificial Intelligence (AI), Robotic Process Automation (RPA), Big Data, organizational and AI based process algorithms to get their work done. The level of transparency involved in implementing these technologies is the deciding factor for a successful robotic implementation. Greater the transparency level, people will be more trustful towards the machines. Trust is the binding agent which upon which the success depends.
Impact of Robotic Quotient across the enterprise
Essentially the RQ impacts the PLOT framework in several ways. The subtle variations can cause major changes in the organization at different levels.
People fear and distrust anything that they can’t understand. Leaders should identify the tasks that can be automated and whether they should they be automated or not is the question that should be answered. Fear of robots replacing their jobs and them is the first reaction to AI, robots and automation in their work environment. The impact on the employees (whether they should be reskilled or redeployed) should be addressed.
Organizational wide resources (human, technology, process related etc.) are scarce assets. Whether there are policies and guidance to support the teams with respect to robot’s inclusivity should be identified.
RQ allows the leaders to prioritize their resources before making an investment in their robotic endeavor. To alleviate the workers trust issues, they must emphasize on the benefits of robotic process automation and AI.
Studies commissioned by industry leaders have shown that employee satisfaction is high, and productivity is more when the repetitive and mundane tasks are automated. Organizations must promote the positive experiences to enable a work culture where robots are co-workers and not as threats to the employees.
For successful implementation of a mixed workforce consisting of humans, robots, automated processes, AI and real time data, robotic quotient is the measurement of your people, leader’s organization and the trust towards this emerging workforce scenario across the industries.
– Shantha Kumari,
Sr. Technical Writer,