Companies are achieving productivity gains by using software robots to perform routine, rules-based service processes. If implemented well, such automation can result in high-performing human-robot teams, in which software robots and human employees complement one another.
FOR MORE THAN 130 YEARS, managers have, in effect, been trying to get humans to act like robots by structuring, routinizing, and measuring work — all under the guise of organizational efficiency. 1 The automation software that is being developed today 2 enables a reversal of this process. We are now able to use software robots to amplify and augment distinctive human strengths, enabling large economic gains and more satisfying work. However, given the widespread skepticism and fears about how many types of employment will fare in the future, managers are in a difficult spot. Media headlines such as the “Rise of the Robots: Technology and the Threat of a Jobless Future” 3 and “A World Without Work” 4 only serve to fuel the anxiety.
Although the term “robot” brings to mind visions of electromechanical machines that perform human tasks, the term as it relates to service automation refers to something less threatening: software that performs certain repetitive and dreary service tasks previously performed by humans, so that humans can focus on more unstructured and interesting tasks. Service automation includes a variety of tools and platforms that have various capabilities. While conducting research for this article, we interviewed people who used a variety of terms to discuss service automation. (See “About the Research,” p. 42.) To help make sense of the landscape, we classified the tools along a service automation continuum based on the specific types of data and processes. (See “The Service Automation Landscape,” p. 43.)
Denne historien er fra Fall 2016-utgaven av MIT Sloan Management Review.
Start din 7-dagers gratis prøveperiode på Magzter GOLD for å få tilgang til tusenvis av utvalgte premiumhistorier og 9000+ magasiner og aviser.
Allerede abonnent ? Logg på
Denne historien er fra Fall 2016-utgaven av MIT Sloan Management Review.
Start din 7-dagers gratis prøveperiode på Magzter GOLD for å få tilgang til tusenvis av utvalgte premiumhistorier og 9000+ magasiner og aviser.
Allerede abonnent? Logg på
Ask Sanyin: How Do You Build for an Unpredictable Future?
While the pandemic was a wild ride of uncertainty for me and many of my peers in leadership, it feels like we never regained our footing.
What You Still Can't Say at Work
Most people know what can’t be said in their organization. But leaders can apply these techniques to break through the unwritten rules that make people self-censor.
Make Character Count in Hiring and Promoting
Most managers focus on competencies when evaluating candidates but it’s character that will transform the DNA of the organization. Here’s how to assess it.
Why Influence Is a Two-Way Street
Managers achieve better outcomes when they prioritize collaborative decision-making over powers of persuasion.
Know Your Data to Harness Federated Machine Learning
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.
How Integrating DEI Into Strategy Lifts Performance
Incorporating diversity, equity, and inclusion practices into core business planning can provide a competitive edge.
The Myth of the Sustainable Consumer
Companies that understand the different kinds of consumers for sustainable products can market to them more effectively.
A Practical Guide to Gaining Value From LLMs
Getting a return from generative AI investments requires a systematic approach to analyzing appropriate use cases.
Improve Workflows by Managing Bottlenecks
Understand whether process or resource constraints are stalling work.
Craft Schedules That Work for Everyone
Business leaders can improve retention and business performance with schedules that make sense for workers’ lives.