Robotic process automation has a credibility problem, and it is self-inflicted. Too many programs automate the wrong things — processes that are rare, unstable, or better fixed at the source — and then wonder why the ROI never appears.
The processes where RPA genuinely pays off share three traits: they are high-volume, rule-based, and stable. Reconciliation and financial close are the classic examples. When we automated those for a finance team, we removed 12,000 manual hours a year and improved accuracy at the same time.
The discipline is in the assessment. We score candidate processes for automation fit and ROI before writing a single bot, and we design exception handling up front so the automation degrades gracefully instead of failing silently.
Done well, automation pays for itself in a quarter, not a year. Done poorly, it becomes shelfware. The difference is almost always in what you choose to automate.
KEY TAKEAWAYS
Automate high-volume, rule-based, stable processes
Score for ROI before building anything
Design exception handling from day one
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