Business automation and digital transformation are more than just modern technology trends. In fact, they serve as the trump cards to revolutionizing technology the way organizations operate their businesses. That being said, organizations are looking to influence automation across every business unit as customer expectations skyrocket much faster than the businesses themselves. Automation has digitally transformed into a popular technology that has been deployed in thousands of business processes across organizations irrespective of the industry and its size.
However, one of the greatest challenges faced by the robotic process automation (RPA) enthusiasts is that most business managers have a very vague idea about which process to automate first so as to derive maximum results. Eventually, all of them find themselves in a spot post RPA-deployment.
Almost 80% organizations are willing to initiate an RPA project.
This is very common considering the plethora of benefits the automation technology yields and yet most of the organizations fumble on where and how to start. What’s even more daunting is that many of these organizations pursue their own automation efforts and end up gaining none of the desired outcomes.
Nearly 50-60% RPA projects fail not because of the flaws in the technology, but due to lack of strategizing and envisioning a meticulous planning of the project during pre-implementation.
The success of an automation project entirely depends on the planning phases. You might think that you have got all the bases covered but there are a lot of questions you need to ask yourself before jumping into your automation journey.
- Which process should you automate first?
- How many hours of FTE are saved?
- How to achieve maximum ROI?
- What are the benefits of automating that process?
- And much more
In order to answer all these questions, CIOs should think beyond just discussing automation in board meetings. Automation teams tend to choose random process that might seem like easy wins without a concrete analysis of the processes that their organizations have in store. As a result, identifying wrong processes during the initial stages affects the budget and the entire automation project goes for a toss. Moreover, the research time and the workforce it takes to define a set of criteria for a business process to be automation-ready and then qualify the same as a potential candidate creates a huge gap to long-term RPA scalability and success.
To resolve this issue, some companies prefer process mining, an old-school technique which maps the steps in a process but neglects subject matter expertise. This solution can haunt the business leaders due to its inability to eliminate human bias and mainly because fetching results might stretch for several months.
So, this is where process discovery comes as a life-saver. A comprehensive, faster tool helps you identify the top processes that are ready for automation within a couple of weeks. Due to its minimal preparation time for an RPA deployment, the tool accelerates potential business value through a complete assessment, qualification, and prioritization of processes for automation readiness.
Here’s how a process discovery tool will enhance the following steps in your automation journey:
1. Driving organizational transparency:
Engagement across business units in an organization drives more opportunities for automation, but it’s never time consuming. The process discovery tool will help you with a questionnaire-based analysis for a short conversation between a process analyst and a subject matter expert. This assessment provides you a definitive approach on whether to pursue analyzing the given process to the next stage, while negotiating the need for long meetings with your stakeholders.
2. Establishing criteria for automation readiness:
Each process you choose falls under one of the four quadrants in terms of its qualification for automation readiness.
Cultivate: A complete digital process that typically lacks definition but uses multiple applications. This process might need a little more work before being automation-ready.
Ready: As the name of the quadrant suggests, a typically well-documented process that is almost entirely digital, and repeatedly uses the same applications. This is the easiest to automate and even considered easy wins.
Incubate: A well-documented process that is mostly non-digital and derives low throughput. The process might come under the scanner for potential automation-readiness but not really considered.
Defer: An undefined process that is entirely non-digital. The processes under this quadrant fall at the bottom of the list before reevaluation.
3. Delivering a prototype for your automation journey:
The Process Discovery tool gives you a head start with easy-to-automate solutions and thorough guidance for successfully adding automation-ready processes and scaling RPA.
Wondering which process to automate first?
Try out our Process Discovery Tool.
To sign-up for a free consultation, please write to us at [email protected] today!
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