As more enterprises and service providers adopt cognitive automation to improve their manual processes, reading the tea leaves or better yet, examining case studies suggests a new job landscape with some fairly drastic improvements in efficiency.
Harvard Business Review (HBR) provides a useful summary article explaining how to deconstruct work into tasks that can be automated. Here three characteristics are used to assess our work:
Repetitive vs. variable work;
Dependent vs. interdependent work; and
Physical work vs. mental work.
Any automation assessment model should also take into consideration the nature and complexity of both the inputs and outputs onto which we can overlay these three characteristics to assess the impact of automation based upon the nature of work itself.
Basic automation has arguably had the highest level of impact so far. It is applied to rote, highly repeatable and low variance tasks. For example, basic automation supports the IT back office such as regular back-ups of data or automated provisioning of software resources (such as email accounts and CRM access).
These activities can be highly automated due to the nature of the work and low probability of exceptions to workflows. The inputs can be highly structured with very little variability while outputs are often binary. The result is either a successful completion or an exception. These tasks are very independent with interactions typically only with application interfaces. There is very little mental effort required.
Greg Council, Vice President of Marketing and Product Management