4 Biggest Challenges for Implementing Intelligent Automation

There are four big challenges that need to be overcome in order to successfully implement intelligent automation: defining the scope of automation, managing change, ensuring quality, and governing and complying with regulations. Let's take a closer look at each one of these challenges.

One of the first challenges is defining the scope of automation. What processes should be automated? What tasks can be done more efficiently by a machine? It's important to carefully consider which processes will benefit most from automation and which ones should remain manual. It can be incredibly tempting to try to automate everything. However, you will eventually come to realize that some tasks simply are not worth automating. In fact, you will find many processes which need to be improved before they are automated. A bad process is not fixed if it is automated.

Another challenge is managing change. Automation can be disruptive, especially if it's not implemented properly. Employees may resist change or be afraid of losing their jobs. It's important to manage the change process carefully and make sure that employees are on board with the plan.

Usually, any resistance to automation comes down to a lack of knowledge in the area. Creating an environment surrounding education on the topic of automation, and an environment where questions are promoted will lead to a smoother transition of change.

Ensuring quality is also crucial. When you're introducing new technology, there's always a risk that something could go wrong. That's why it's important to have robust testing and quality assurance procedures in place. Any new automated process should be tested thoroughly in a test environment before it is put into production. An effective team creating automated solutions will also create tests throughout the process which can eliminate or mitigate potential issues.

Finally, there's the challenge of governance and compliance. Organizations need to make sure that their automation efforts comply with all relevant laws and regulations. This can be a complex task, but it's essential to get it right.

It is always wise if there is any doubt on something that you should inquire with an expert in the area. For example, automatically scraping data can sound harmless, but in reality, it could go against certain rules, or land you in hot water legally.

These are just some of the challenges that need to be addressed when implementing intelligent automation. But if done properly, the rewards can be great. Intelligent automation has the potential to transform how work gets done and help organizations achieve new levels of efficiency. In order to realize these benefits, organizations will need to overcome these challenges. With careful planning and execution, they can make intelligent automation a success.

What other challenges do you see with implementing intelligent automation? Let us know in the comments below.