The Myth of RPA as a Panacea
Ashok Gairola
Digital Strategy | BPO Operations | Business Transformation | Process Mining | Six-Sigma MBB | GBS
A common misconception is that RPA can be a silver bullet for all process inefficiencies. While it can automate many repetitive tasks, it often masks underlying problems within core systems.
RPA: A Symptom, Not a Cure
Consider a company struggling with slow order processing. An RPA bot could be implemented to automatically transfer order data from one system to another, seemingly improving efficiency. However, if the underlying issue is inaccurate product data or complex pricing rules within the ERP system, the RPA bot will simply propagate these errors faster. In this case, RPA is merely addressing a symptom of the problem, not the root cause.
Dependency on a Flawed Foundation
RPA relies heavily on the accuracy and stability of existing systems. If the core ERP system is outdated, prone to errors, or lacks necessary functionalities, an RPA bot built on top of it will inherit these limitations. For instance, an RPA bot designed to generate invoices might produce incorrect amounts if the underlying pricing data is inaccurate or incomplete. This not only fails to improve efficiency but can also lead to financial losses.
Increased Complexity and Maintenance
Introducing RPA can add complexity to IT infrastructure. Multiple systems and software components need to be integrated, monitored, and maintained. Over time, this can lead to increased IT costs and potential disruptions. For example, if an ERP system undergoes changes, the RPA bot might require modifications, testing, and redeployment, adding to overall IT overhead.
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Prioritizing Core System Improvement
Rather than relying solely on RPA, organizations should focus on strengthening their core ERP systems. By addressing the root causes of inefficiencies, businesses can achieve long-term benefits.
For instance, a company experiencing slow order processing might invest in upgrading its ERP system with advanced features like real-time inventory management and automated pricing calculations. This would not only eliminate the need for manual data entry but also improve order accuracy and reduce processing time.
By improving data quality, streamlining workflows, and enhancing system scalability, organizations can create a solid foundation for future growth and reduce their reliance on RPA. This strategic approach ensures that automation efforts are aligned with overall business objectives and deliver sustainable value.
In summary, I recommend prioritizing core system improvements over short-term RPA solutions. With the rapid advancements in AI, focusing on strengthening your foundational systems can yield more significant, long-term benefits
Process Automation/Digitalization Expert | Project Management, Data Analytics & AI/ML Solutions | 2022 MN Quality Award Winner | Process Development Manager at Nokia
1 个月Can Robotic Process Automation fix IT ? https://www.dhirubhai.net/pulse/can-rpa-fix-anil-panicker?utm_source=share&utm_medium=member_android&utm_campaign=share_via
You are right Ashok Gairola Conventional wisdom says - Don't automate a bad process. Fix the process and then automate. Once you bring in automation, you become kind of a slave of that system. Would like to be slave of a good process or bad process?
the BPA.pro | Automate Sales and Finance processes | Over a decade of experience in Tech and Business
2 个月Completely agree with the idea that RPA isn't the magic fix for every process issue. Fixing core systems should always come first if you want sustainable improvements.