Why RPA Projects Fails ?
No one wants to see their Robotic Process Automation RPA project fail, when and where RPA can go wrong and learn from common mistakes. However, in the rush to jump into RPA, some companies are missing critical steps on the path to implementing RPA successfully.
RPA automates a clearly defined process, but most enterprise don’t have clearly defined processes, So they start automating, and either automate the wrong thing or get lost in trying to reverse engineer the process.
- RPA Process Pitfalls
- RPA can’t fix bad processes
- Real Transformation
- Inhouse Implementation pitfalls
- IT Roadmap
When evaluating candidate processes for RPA, most experts will recommend looking for predictable, rules-based approaches that repeat regularly. Operations that change or otherwise don’t follow a predictable path, on the other hand, tend to be a lousy match for Robotic Process Automation.
Humans are incredibly flexible and can adapt and modify in a nimble. If these adaptations aren’t accurately documented, the automation is ultimately unsuccessful, and the business case isn’t met.
RPA cannot compensate for an outdated IT infrastructure.
- Choosing a process that Changes frequently
- Choosing a process with insignificant business impact
- Choosing a process where errors are disproportionately costly
- Choosing a process that involves higher level cognitive tasks
- Choosing a process where better custom solutions exist
- Striving for end-to-end automation when it is not cost-effective
- Though its sub-processes are simple, process itself may be complex if it has too many sub-processes
When businesses try to use unattended RPA to remedy poor processes, not only is the process not improved but the resulting errors and choke points are typically shifted down the line, creating new problems that diminish real transformation and ROI.
Most bots are designed to automate tasks, a far cry from redesigning and automating the business processes at the heart of real transformation. Used correctly, RPA can be a handy tool in a strategic transformation initiative. But if approached incorrectly, they can perpetuate legacy system problems.
RPA bots are designed to automate tasks – they won’t address the transformational need to optimize or redesign processes for the digital world. And they can’t deliver meaningful digital transformation on their own.
Business leaders with high hopes for huge returns from massive RPA process deployment are frequently disappointed. Problems arise when organizations mistake routine tasks for processes, and either vastly underestimate the complexity of the methods they’re trying to automate or the time it takes to integrate and automate unattended bots fully. The result can be delayed or abandoned projects.
Pursuing in-house RPA development with in-house teams that do not have enough capacity.
IT roadmap needs to be carefully examined before choosing the RPA solution or the RPA tool may not fit in with the future migrations.