9 Reasons why RPA Projects Fail?
Why every RPA implementation is not successful?
Yes, you have heard it correctly following are blending reasons behind RPA failure. RPA is not a magic wand or one-time solution that fixes everything overnight – there’s still a lot of hard work involved in implementing an RPA program successfully! You need to be able to measure the efficiency gains from each task that you automate before moving onto the next one because only then will it become clear whether or not it was worth investing into automating this particular process in the first place – otherwise known as ROI (return on investment).
1. Inadequate assessment of process portfolio before starting of RPA.
2. The wrong process was chosen for RPA, which could be done manually with low cost.
3. Inadequate implementation methodology. Using a linear way of development instead of employing frameworks, processes, and SOPs.
4. Businesses are unsure what outcomes they can expect from RPA implementations.
5. All quality assurance techniques are not used on every BOT.
6. A bot can be made quickly, but if it is not audited and governed frequently once created, then the risk of a major breach increases.
7. Implementation begins before metrics have been clearly defined and implemented.
8. Because there is no clear strategy for implementing RPA, many companies struggle to reap the benefits from its use.
9. Calculating ROI after implementation rather than as part of a project’s initiation phase.
Underestimating the scope and complexity of RPA :
It is important to understand that RPA is not a simple solution. It is not a quick fix and it’s not a silver bullet. RPA requires careful planning, preparation and execution based on industry best practices and an understanding of what can be automated and what cannot be automated. The more complex your processes are, the more likely you are to fail with an RPA implementation if you haven’t done your homework in advance.
If you’re considering implementing RPA, it’s critical that you fully assess your existing workflow processes before making any commitments or decisions with regard to how much should be automated or how quickly it should happen.
In addition to assessing current process flow before deciding how much automation will help improve efficiency or reduce costs, companies need to understand where they’re starting from in terms of technology adoption level before selecting a vendor partner who is capable of delivering successful results within their culture (which can vary significantly).
So, if you are thinking to move into RPA please get all these factors clear with your implementation partners before initiations.
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