7 Big causes of RPA Project Failures
Intelligent Automation (RPA and AI) is definitely transformational, but at the same time, it can also be disruptive. RPA implementation can reduce the cost of existing manual operations by 30% to 40% without changing any systems. Therefore, it makes RPA technology complicated to implement.
Getting a Robotic Process Automation(RPA) project right is not at all an easy task. There are several reasons why RPA Managed Services fail. Let’s discuss some of the common issues we find in RPA projects.
Here are the seven particular points you must consider before implementing RPA projects.
1. Undermine the importance of a POC to understand the RPA product and its capabilities-
One should never undermine the importance of a Proof of Concept (POC) as it is a common problem in RPA implementation. A proof of concept is a demonstration, the purpose of which is to verify that certain concepts or theories have the potential for real-world application. There are several RPA solution providers available in the market. So choosing the right RPA platform and right processes to automate is a costly and massive exercise. RPA software products often offer free POC, showing an overall RPA process as the use case. Another common trap is that vendors will make you believe that RPA can be implemented within one or two days of training. Most business users can automate simple processes using their platforms, but the skills needed to create scalable, resilient RPA processes are significantly greater.
Why Do You Need to Have an RPA Proof of Concept (POC) with an RPA implementation consultancy? The POC will help you understand the features of the RPA product. Also, you can know its capabilities and see whether it delivers as promised. You even need to understand the RPA product’s limitations for automating the business processes that you would like to automate. For a successful RPA implementation, you need to obtain support from IT, Cyber Security, Risk, HR, and other enterprise functions. A well done POC can help you get permission from not only your investors but also the other stakeholders present within the organization. This support is essential for RPA to deliver a virtual workforce that allows the business to task robots across the entire organization. Understanding the challenges businesses face, Infobiz offers a free digital worker (Free RPA POC) for corporate customers. Find more details here.
2. Lack of RPA business case-
It is common for most organizations to perform an initial POC or pilot project to see that RPA delivers as promised. However, large-scale production automation is entirely different from a successful POC. At times RPA projects fail to answer simple questions from the Board about “How does RPA fit into our digital transformation, how much will it cost and what is the return?” There are several use cases to prove that RPA Implementation Services can deliver immediate and tangible business benefits across all types of companies. RPA helps companies to integrate old IT systems that are waiting to get replaced. Opportunity assessment alongside a POC is quite essential to optimize RPA investment. We can automate sophisticated processes in weeks. Further for a successful POC, we can perform a reliable opportunity assessment and create a detailed business case. A well-written business case also means quick stakeholder sign-off, which inturn enhances the momentum of the RPA program.
3. Post automation run & maintenance-
Let’s see what happens once an RPA program is mobilized, targeted and delivered at pace. After service is as important as before service. Another common mistake is undermining the importance of how to get processes live and who runs the digital workforce. Many a times this can delay the go-live dates. We advise our customers to have a business-led RPA Center of Excellence (CoE) to manage and enhance the digital workforce. As for most of the customers, RPA technology is something new in their digital transformation plan. So this transformation takes time to adapt for the user. Hence we offer our CoE consultants to work closely with the business in their team to set up CoE for our customers. We help our customers get CoE processes in place, IT governance agreed, and staff trained to operate robots and thus continue to enhance operations. Infobiz provides a fully self-sufficient CoE team from the start of the project, ensuring the success of digital workers.
4. Focus on the Forest rather than the trees-
RPA is a tool for digital automation. Without a larger plan in place, sometimes teams find it difficult to optimize business benefits using RPA managed services. When you come to the end of the project, you realize that it is the beginning of the next automation phase to apply machine learning to this new digitized data set. And once that is done, maybe the next set of use cases appear with conversational AI agents to automatically answer incoming queries. What started as a quick, agile project can transform into a long multistage project. With the correct planning and comprehensive design right from the beginning, each RPA implementation would deliver a much better outcome.
5. Choosing wrong processes to automate-
Selecting a highly complex process to automate is a common RPA implementation mistake. Think Big, Start Small and Scale Fast, is what we always advise our customers, when it comes to Intelligent Automation. Starting small will help to reduce cost and quickly learn the benefits of automation. Starting with complex processes often increases the costs, reducing the usefulness and forcing the business to divert the investment from quick ROI projects. We help customers to perform a proper opportunity assessment to find the optimum portfolio of processes. Low or medium complexity processes are the best initial target for RPA. Always aim to achieve a minimum of 1 FTE savings, preferably more. Eventually, we are looking for the processes with the best return and the most straightforward delivery. Once a company is RPA-mature, they can scale fast and look to automate complex business processes.
6. Applying the wrong project delivery methodology-
Traditionally, RPA Development Service Companies took months or even years to implement software projects. RPA projects delivered using an over-engineered software delivery method, with no-value documentation and gates, leading to extended delivery times is another common mistake. Most of the RPA projects can be delivered in weeks, if not in months. RPA rarely changes existing systems, and processes are documented in the tool. Companies should challenge and simplify existing IT delivery methods and use an agile delivery approach to deliver at pace. With the right project delivery methods, we have provided new RPA processes into production in three to four weeks.
7. Trying to automate 100% of business processes.
At times companies try to automate business processes eliminating all human interventions. This makes the RPA project complex, more expensive and reduces the ROI. RPA allows companies to change the existing business processes, and at times companies do not notice the results in reduced savings. We advise our customers to consider Digital workers as the ultimate “helper’ only, carrying out the necessary work in a process and enabling employees into more value-additive roles. Robotic Process Automation Solutions helps to take the Robot out of a Human. Automation of 70-80% of the business process as an initial target is useful amd recommended. It’s always possible to optimize and upgrade the process later.
In order to get best gain buy to RPA by senior stakeholders, we highly recommend you to get an RPA POC done. If you’d like to get your first POC done with UiPath or Automation Anywhere, then we’re just a click away. Get your free RPA POC and build your business case. Simply book a meeting with us here, and one of our RPA experts will reach out to you shortly!
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