Challenges of Hyperautomation



Hyperautomation allows business organizations to work efficiently, smartly, and faster, but it also has certain limitations and challenges in implementation.

Some of the major problems or challenges that organizations face in implementing hyperautomation are described in this chapter below.

Hyperautomation Challenges

Design and Implementation Complexities

Hyperautomation uses multiple advanced technologies together for automating business processes and workflows. This integration of multiple technologies requires a deep technical expertise and the understanding of how these technologies will work together. All these things make hyperautomation relatively complex to design and implement.

Time Consuming

The integration of multiple technologies together increases time required for interconnecting them and ensuring their reliable operation. Hence, the implementation of hyperautomation is a time-consuming process.

High Investment

Hyperautomation makes use of complex, advanced technologies and technical expertise for implementation, thus it requires a high initial investment. Additionally, business organizations have to invest in training their employees and maintaining the hyperautomation systems, which further adds cost to the organizations.

Difficult to Integrate with Legacy Systems

Many business organizations are dependent on their outdated legacy systems. The integration of modern hyperautomation systems with them is very difficult and it can lead to data isolation or inefficient process execution.

Failures Due to Poor Data Quality

A reliable and efficient operation of hyperautomation is completely dependent on consistent and accurate data. If the provided data is of poor quality, it can cause inefficient execution of processes or complete process failure.

Resistance to Change

Hyperautomation creates a fear of job displacement among employees of the organization. This may be because of lack of understanding of how hyperautomation will impact their job roles. Due to all these uncertainties, employees resist to changes that hyperautomation brings in the organization.

Scalability Issues

Hyperautomation can automate simple processes and workflows very easily, but when it comes to implement it across multiple departments in the organization, it becomes very complex and introduces several scalability issues.

Risks of Over-Automation

Sometimes organizations try use hyperautomation for automating processes and workflows which are not suitable for automation. This can result in ineffective outcomes and wastage of resources.

Conclusion

In this chapter, we explained the challenges that a business organization can face while implementing and using hyperautomation for automating its processes and workflows.

Let's move to the next chapter and discuss the real-world applications of hyperautomation.

Advertisements