To truly reap the benefits of digital automation, organizations must consider their maturity levels. They should identify what they need to assess and advance their automation efforts.
Today it is given that organizations have to automate their offerings and operations for optimizing existing processes, and generate better experiences and value for their customers. However, automating alone does not provide evidence of whether the business has gained maximum value and efficiency. In fact, the level of maturity of the digital automation strategy takes precedence over simply automating.
Thus, knowing the maturity level of the technology will help organizations to identify opportunities for automation growth and evaluate risks and challenges associated with bigger, more sophisticated automation. As automation solutions cross departmental boundaries and integrate various technologies, data loss and integrity risks can significantly increase.
Organizations should begin by assessing their automation maturity level. They should identify the maturity level whether it is in task-oriented, team/department-oriented phase and end-to-end phase.
After identifying the stage of maturity of their automation solutions, it is crucial for IT teams to advance their automation strategy. Here are a few approaches they should concentrate on:
Link applications and process
Immature strategies are primarily based on a simple task. While it is a great place, to begin with automation, it does not help to grow. To advance the task-based automations into automated workflows, applications and systems should communicate with each other. They should add connected systems that provide the opportunity to build increasingly complex, end-to-end workflows.
As many processes get connected, organizations will need to have a platform that helps them to manage their increasing complexity. Fortunately, vendors working across different vertical within enterprise IT are intersecting offerings of business process automation (BPA) that includes integration libraries and automation workflow capabilities. This trend will give support to organizations to build their strategies and validate the importance of automation that is paired with connectivity.
Using RPA intermittently
While RPA is a powerful tool that is easy to use, it comes as both a blessing and a curse because they are often utilized when they should not. This leads to poorly designed processes.
Crafted to imitate human behavior while navigating the UI of an application, RPA has limitations, which makes it difficult to scale across the organization. If the UI of an application changes, the RPA will be impacted. Also, if the organization is utilizing multiple RPA bots dependent on each other, a single UI change can cause the entire process to stop functioning. Furthermore, pinpointing the origin of the RPA breakdown point is also challenging. Thus, organizations should utilize RPA in a sparing manner.
Incorporating more AI solutions
AI can be beneficial when incorporating less organized data into the automation process. Also, having access to more data and more data science tools, predictive models can also become readily integrated into the unsupervised automated process for simple decision making. This sophisticated implementation of AI can free up many expensive human resources, thus allowing the IT teams to focus on higher-value tasks.