Enterprise motivation to pursue hyperautomation
In Atos's thought leadership paper, Journey 2024: Redefining Enterprise Purpose, we predicted that enterprises will need to adjust their market strategies and reassess their value chains, which may push their strategic intent beyond their current capabilities. Accordingly, their IT systems must become agile enough to accommodate these changes and scalable enough to support the streamlined business processes that deliver increased customer satisfaction.
Hyperautomation may be part of the solution. Consider this:
An example of a specific strategic intent could be to employ no-human-touch, hyperautomated operations to increase efficiency, reduce costs and improve overall performance.
Hyperautomation involves using advanced technologies such as digital decisioning and machine learning to automate processes, decisions and tasks. By automating repetitive, time-consuming and error-prone activities, enterprises can free up employees to focus on more strategic and value-adding work. Additionally, hyperautomation can help an enterprise make better and faster decisions, improve customer satisfaction and increase agility and scalability.
Hyperautomation uses technologies like digital decisioning and machine learning to automate processes, decisions and tasks — freeing up employees for more strategic activities and helping enterprises make better, faster decisions.
How hyperautomation ties into the Business Motivation Model
The Business Motivation Model (BMM) is a framework that describes the relationship between an enterprise's strategic intent and the underlying motivations, goals and objectives that drive that intent. In the context of hyperautomation, the BMM would suggest that the strategic intent of an enterprise to pursue hyperautomation is driven by specific motivations, goals and objectives related to increasing efficiency, reducing costs and improving overall business performance.
The BMM has a hierarchical structure with strategic intent at the highest level — and the motivations, goals and objectives that drive it are arranged in descending order of specificity. One of the key components of the BMM is the goal model, supporting Peter Drucker’s management by objectives (MBO) system, explained in his 1954 book,
Now, let’s look at hyperautomation through the BMM lens.
At the highest level, the strategic intent of an enterprise pursuing hyperautomation is driven by a desire to improve overall performance, possibly motivated to compete more effectively in the marketplace or to increase profitability and growth.
At the next level, we can identify specific goals and objectives related to increasing efficiency, reducing costs and improving performance. These could include goals such as reducing or eliminating manual errors in a process, improving decision making accuracy and speed, and increasing customer satisfaction.
Finally, specific motivations for achieving these goals and objectives would be identified at the lowest level, such as a need to reduce labor costs, a desire to improve operational efficiency, or a goal to increase market share.
As you can see, BMM provides a way to understand the relationship between an enterprise's strategic intent and the underlying motivations, goals and objectives that drive a hyperautomation initiative. It also helps understand the motivation behind the implementation and what the enterprise aims to achieve with hyperautomation — thereby providing a solid basis for the endeavor.
Hyperautomation requires vision
Hyperautomation is not a quick fix or a “magic bullet.” It requires thorough planning and can be quite resource-intensive before it is implemented well enough to deliver sustainably, so the vision and business motivation must be clear up-front.
Hyperautomation and digital methodologies are essential to promoting sustainability, by enabling organizations to operate more efficiently and reduce waste. However, it is also vital to ensure that these technologies are used responsibly to support sustainability goals. In addition, the ethical, legal, and social implications of hyperautomation must be considered and included in the business motivations, goals and objectives.
In upcoming blogs, we will explore various aspects of sustainably implementing hyperautomation, including themes such as advanced hyperautomation technologies, balanced with agile implementation and maintenance methodologies to increase sustainability. We will also look at, the governance and constraints inherent to hyperautomation as well.
Watch this space for more.