To achieve the level of creativity, agility and resilience required in an innovation-ready enterprise, organizations must remember a golden rule: To automate everything that they do more than once. Humans should only intervene to solve problems that cannot be expressed in mathematical formula – those requiring creativity, empathy, compassion and/or a physical presence.
Slated to become a $40bn market by 2030, hyper-automation is a business-driven approach to identify, vet, and automate as many business and IT processes as possible. It requires the orchestrated use of multiple technology tools and platforms, including Robotic Process Automation (RPA), low code development and process mining tools.
Over the last decade, automation within IT and across organizations has been focused on islands of task automation, delivering limited efficiency gains. Dreams of industry-wide transformations and evolutions from value-chain to value-network have largely failed to materialize. Recent advances in AI, however, means these dreams are now more feasible. New, transformational applications offer significant efficiency gains to create decisive competitive advantages for organizations.
While the low hanging fruits of increased efficiency are attractive for many teams, the real value in automation might be found elsewhere. We have already established how important organizational adaptability is in today’s volatile, fast-changing world. By automating most of a company’s IT and business processes, these processes become much easier to adapt – in some cases instantly – in response to marketplace change. When designed and implemented correctly, automation also makes it easier to adopt new and emerging technologies. Freeing up employees from routine tasks enables them to focus on change, innovation, experimentation and inventing new, differentiated, high-value services.
In this context, it’s wise to consider not only the required speed of change, but also the acceleration of change. Business processes that are perceived as fast today will become normal tomorrow, and be considered slow the day after. For this reason, automation is focused on increasing speed, where hyper-automation is focused at increasing acceleration.