You’re going on vacation. You own a multimillion smart home with many extremely complex, interwoven systems. Luckily, your house-sitter comes highly recommended as dependable and fully capable of following instructions on standard operating procedures for your home.
But what about the customizations you’ve made? And what if something deviates from standard while you’re away? Would you just hope for the best, close the door behind you, and not look back?
Probably not. So why do the same with your organization’s robotic process automation (RPA) initiative?
Too often companies consider the launch of an automation initiative to be the end of their effort. But there are many reasons why an RPA endeavor might not be considered successful, and some are tied directly to monitoring to ensure things are truly running as expected.
In a previous post we talked about making the most of your digital workforce capabilities using process mining. It’s the same technology that gives insights to bolster your RPA initiative before you even start. But it can also help you evaluate your process after rollout.
Let’s look at a few common RPA post-implementation issues and how process mining can help:
Process choice. As demonstrated by Tesla, automation might not be suitable for certain tasks or workflows. Process mining can show and quantify real-time achievements, so you know exactly when it’s time to either rethink or scale up automation efforts.
Process change. Regular review eliminates the risk of decreasing efficiency. That’s because you have the data you need to be able to see and adapt proactively to required change. Celonis intelligent process mining capabilities take this one step further with autonomous decision-making.
Digital worker configuration. We’re human, and we make mistakes. To avoid digital workers repeating our mistakes at a faster pace at scale, we need a comprehensive view of their performance and its impact. Process mining provides automation and execution rate data directly from your systems, so you know if your workers need to be re-trained or reassigned for maximum process improvement and efficiency.
Despite the operational ease it brings, automation is seldom a single, simple effort. One measure of success should be the peace of mind that comes from knowing what’s really happening rather than operating on the assumption that everything’s going according to plan.
Trust is good. Confidence is better. Confirmation is best.
Eager to learn more? Check out our webinar “Making RPA and Automation Successful with Intelligent Process Mining Technology”.
Maybe others you know will also find it helpful.