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5 Things to Consider Before an RPA Implementation

RPA Implementation Methodology

As you consider a robotic process automation (RPA) implementation for your organization, it’s worth noting that today’s digital workforce is evolving. Automation is no longer limited to “if/then” rules and conditional statements as AI enhancements bring goal-oriented capabilities to task automation. So before you start deploying bots, ensure you’re considering scale and future-growth signals in your vendor of choice. But most importantly, make sure you’re targeting the right process.

Here are some common problem areas to remedy with baseline task automation that don’t require full-scale AI deployments to solve – 70 Manual Processes That Bots Can Do Better.

In addition, here are 5 foundational questions to ask before any RPA project.

1. Is the process rule-based?

Here’s why it still matters: Most automation, even when powered by intelligent digital workers, begins with a repeatable set of logic. If/then rules are the skeleton of automation and even AI-enhanced RPA solutions need clear parameters — particularly in highly regulated industries like government and finance where predictability and auditability matter.

2. Is the data structured and in a digital format?

Goal-oriented automation excels when it can interpret data quickly. That’s why structured data sets are still king when it comes to automation because it’s hard to confuse things that are organized in clear outlines. While we’ve covered at-length about AI Agents and their ability to conquer unstructured data, this topic is still about your cheaper deployment, fundamental RPA bots that’ll run the baseline of decisionless tasks.
 

3. Is the process repetitive and high volume?

Digital workers thrive on high-volume, repeatable tasks, particularly as AI capabilities improve the efficiency of machine learning across RPA and AI agents. Choose a high-volume process, and let the bots do what they do best.
 

4. Is there consensus on the steps and decisions?

We’ll say it again, even though bots are getting smarter, some rules still hold true. Across the board, automations need a single source of truth, particularly as words like “Hallucination” enter the collective lexicon of the globe. So before implementing automations, check for areas of conflict among data and other programs that could stall success. Whether your goal is straight-through processing for an invoice, or a full-on AI-assisted, consistency is key.
 

5. Is the process documented?

In order for a process to be automated, it must first be fully documented to reflect the steps taken on a “click-level.” This speaks to what type and how many clicks of a mouse are made as part of the process.
 
“Click-level” documentation is not needed initially, but there should be some level of documentation before starting the automation. The more detailed the starting documentation, the better.
 
Of course, the documentation also needs to be an accurate representation of how the process is performed by your employees. Examples of good starting documentation include training materials, Standard Operating Procedures, user guides and flow charts.
 

See the effect of your investments on the bottom-line for basic task automation with our RPA ROI Calculator.

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