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How To Avoid RPA Projects Failure

We have been hearing this news every day recently that up to 30 to 35% of RPA and automation projects are failing. A RPA project seems to be very easy because how difficult could it be for a bot to do mundane and tedious tasks? But if you will take a closer look so you will find out the impact of taking a RPA project lightly in the business. Like any other project, a RPA project can also fails due to very common reasons like:

  1. Setting unrealistic expectations
  2. Picking wrong tool
  3. Bad Design
  4. Unclear project strategy
  5. Not following best coding practices
  6. Not testing enough
  7. Using wrong performance matrices

Failure To Progress

Follow these two approaches to make an instant change from failure to progress.

  1. Go for Hybrid
  2. Don't go with a top-down or bottom-up approach to implement Automation. The problem with this approach is that it takes a long time, and a lot of complex change management. The best approach is hybrid. Figure out the must-tasks and automate them right away. This gives instant ROI. At the same time, focus on a holistic approach to optimize the overall process. Take all the processes that you want to automate and break them down with high-value tasks. Categorize those tasks into three buckets.

    1. Common task
    2. Collecting information task
    3. Decision making task

    Sort them by return for capital invested. begin automating from the most noteworthy return on initial capital investment.

  3. Manage Your Resources
  4. Don't go for high skilled resources for high-value tasks. High skilled resources will have knowledge and experience but a high skilled resource won't be able to provide best quality products under pressure and loads of works. Instead of appointing High skilled resources, create a team of business analysts, automation engineers, automation testers and production support.

Let us do more automation. Let's make the world smart.

Happy Learning.