Robotic Process Automation Implementation: Pros & Cons

You’re an operations manager at a mid-sized retail company. You have a great team with strong skills and a big goal.

However, repetitive tasks are slowing you down. They take up most of your time and keep you from reaching your goal. Every day, businesses spend hours managing inventory, processing returns, and handling logistics. These are tasks that, let’s face it, anyone could do—if only there was enough time, or enough hands. 

Or maybe you’re an HR director, spending your mornings sifting through hundreds of applications, uploading documents, sending the same on-boarding emails, and repeatedly entering payroll information. You got into HR to work with people, but here you are, just stuck in data-entry purgatory.

There must be a better way to handle all this. What if you could get all those low-value tasks done without adding more people to your payroll or risking burnout among your existing team? 

This is the promise of Robotic Process Automation. 

In this blog post, we’re diving deep into how RPA can automate workflow.  

What is RPA?

 

RPA is often confused with Artificial Intelligence (AI) and Machine Learning (ML). Sure, all these technologies are about doing things more efficiently, but they’re not the same. Here’s the deal: 

• RPA is about developing RPA software to handle repetitive, rule-based tasks. It’s great at doing what it’s told, following strict rules, and doing so without tiring. 
• AI and ML are about learning, adapting, and dealing with unstructured data. They get smarter over time. 

RPA Implementation can handle your data input, your reports, and your inventory, no breaks required. 

And because RPA is rule-based, you can plug it into your current systems without changing everything you’ve got in place. You don’t have to wait months or years for implementation; these bots can be up and running in a matter of weeks. 

Why RPA Projects Fail (And How You Can Succeed) 

Now, as good as this sounds, RPA Implementation projects aren’t always as simple as it looks in documents. As per various reports 69% of RPA projects never take off because of various challenges in the initial stage. It’s not that RPA doesn’t work—far from it. But the way companies approach it often sets them up for trouble.

Let look into factors because of which RPA Project fails or Robotic Process Automation cost goes high. Also look in solution's which can help in avoiding these pitfalls.

1. Lack of Ownership and Accountability 

You need a dedicated person to take ownership of your RPA Project. RPA isn’t a set-it-and-forget-it type of process. Without the right leadership and ownership , things get chaotic. If teams don’t have the right direction and mentorship, any roadblocks can stall progress indefinitely. 

The Fix 

Consider boarding the right people from the start of the project. Appoint a dedicated leader or even form an executive committee to champion the RPA effort. Make it their job to align all stakeholders, clear up confusion, and make things happen.  

2. Choosing the Wrong Use Case 

More than 50% of RPA projects go wrong because the wrong processes are selected for automation. Companies often go too big too soon, trying to automate tasks that are overly complex or don’t add much value. 

The Fix 

Start small and choose wisely. Identify tasks that are repetitive, rule-based, and high-volume. These tasks are the easiest wins. Once you’ve got those running smoothly, you can think about expanding. 

3. Infrastructure Issues 

RPA is only as strong as the system you put it on. If your infrastructure is outdated or can’t support RPA, the whole thing crumbles. A report by PwC highlights that 30-50% of RPA projects fail due to inadequate IT infrastructure. 

The Fix 

Assess your IT capabilities upfront. Ensure your systems are up to the task of handling bots, and don’t overestimate your infrastructure’s capacity to support a new digital workforce. If you need an upgrade, make that investment before you start implementing RPA. 

4. Security Concerns 

If RPA isn’t implemented with security in mind, you’re leaving your data vulnerable. Bots are great at accessing your systems and data, but without proper oversight, they can create gaps that bad actors might exploit. 

The Fix 

Security should be a priority from day one. Follow Gartner’s four-step approach—assign unique credentials to each bot, limit their access rights, ensure all bot activities are logged, and implement a risk management framework. This will protect your data and keep your operations compliant.  

A Step-By-Step Guide to RPA Implementation 

Now that we’ve tackled what could go wrong, let’s focus on how to do this right. Implementing RPA doesn’t have to be complicated. Here’s a seven-step plan to get you started. 

• 1. Define the Business Problem Before jumping in, ask yourself—what exactly are you trying to solve with RPA? Maybe it’s about reducing manual errors in your finance team, or maybe you want to speed up order processing. Whatever the goal, be crystal clear about it. This will help you identify the right tasks to automate. 
• 2. Identify Processes to Automate Once you know what problem you want to solve, look for the specific processes to automate. Remember, not everything can or should be automated. Repetitive tasks, tasks that need consistent data handling, or tasks that are prone to human error—these are the ones you’re after. 
• 3. Assess Feasibility Just because a process is a good candidate for automation doesn’t mean it’s feasible. Ask yourself—how complex is this task? What kind of data is involved? Are there regulatory considerations? If it’s too complex or data-sensitive, it might not be the right process to start with. 
• 4. Develop a Business Case For every process you plan to automate, build a business case. Calculate the RPA Cost, estimate the benefits, and prove that RPA is a good idea. This is the key to getting buy-in from senior management and making sure everyone’s on the same page. 
• 5. Create an Implementation Plan Create a detailed plan that outlines the entire process—from start to finish. Define what tasks will be automated, who’s responsible for what, and set realistic timelines. A well-thought-out plan helps ensure that the RPA journey runs smoothly. 
• 6. Develop, Test, and Deploy Next comes the exciting part—building your bots. Start with a Proof of Concept (PoC) to test the waters. See how the bots perform in a controlled environment, refine as needed, and then roll out in phases. Start small, monitor progress, and scale as you build confidence. 
• 7. Post-Deployment Monitoring Once your bots are live, keep an eye on their performance. Track metrics like accuracy and processing times. If the bots aren’t hitting targets, make adjustments. Periodically check in with the teams working alongside them to understand the impact and gather feedback. 

Benefits of RPA Implementation 

Let’s talk, What can you expect from a successful RPA implementation? 

• 1. Increased Efficiency RPA can help businesses execute processes 5-10 times faster than humans, as highlighted by the Information Services Group (ISG). This speed means your team has more time for high-value work that really matters. 
• 2. Reduced Costs Implementing robotic process automation RPA doesn’t just save time—it saves money. By automating tasks, organizations have reported up to 65% reduction in labor costs. That’s because you’re freeing up your team to do work that requires their expertise and reducing the need for new hires. 
• 3. Improved Accuracy When it comes to data handling, accuracy is crucial. The cost of human interventions & error is estimated in the billions annually. By automating data-heavy processes, you’re eliminating errors and enhancing decision-making. 
• 4. Employee Satisfaction Perhaps one of the least talked about but most important benefits is employee satisfaction. Let’s face it—no one likes spending their workday doing menial tasks. By automating these business processes, you’re giving your team the chance to focus on what really excites them, leading to higher engagement and retention rates. 
• 5. Scalability Need more bots during peak season? No problem. Unlike human teams, your digital workforce can scale on-demand to meet the needs of your business without lengthy hiring processes or training requirements. 

RPA Success Stories 

Different industries are embracing RPA tools, and they’re reaping huge benefits of automated processes. 

• Banking and Finance Banks are using RPA for loan processing and account reconciliation. The accuracy and speed at which bots can handle financial transactions ensure compliance and reduce processing times from days to mere hours. 
• Healthcare Healthcare providers are using RPA technology to manage patient records, schedule appointments, and process insurance claims, freeing up medical staff to focus on patient care instead of paperwork. 
• Retail Retailers use RPA for inventory management, streamlining supply chains, and automating returns. The secret behind making sure products are always available without overstocking or letting shelves run dry. 
• Telecommunications Telecom companies are utilizing RPA to automate customer on-boarding and resolve network issues. This means fewer delays, quicker service, and improved customer satisfaction. 

How to Overcome Implementation Challenges ?

To truly benefit from RPA, it's important to tackle potential obstacles head-on. 

• 1. Build the Right Team A successful RPA journey needs a cross-functional team of IT specialists, RPA developers, and process experts. 
• 2. Choose the Right Tool Multiple RPA platforms are present in the market. Choose one that suits your business requirements and has the capacity to grow with your operations. 
• 3. Make Security a Priority As highlighted earlier, secure each bot with unique credentials and limit its access to sensitive information. 

RPA Implementation: Ending Notes 

The potential of RPA is can not be questioned. RPA solution implementation is not just about time or money saving, It is basically transforming your business. Allow bots and automated solutions to work on dull and repetitive tasks, so your team can work on tasks which will solve business problems and have greater value. Businesses are now merging the potential of RPA with cloud technology.

But RPA implementation isn’t a plug-and-play solution—it’s a journey. It requires careful planning, thoughtful strategy, and commitment from leadership. 

Here at Prioxis, we specialize in helping companies implement RPA the right way. We take the time to understand your business needs, design solutions tailored to your goals, and guide you every step of the way..